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description Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, Belgium, Germany, France, Austria, United Kingdom, France, Netherlands, United Kingdom, United KingdomPublisher:Elsevier BV Funded by:EC | VERIFYEC| VERIFYAraza, Arnan; de Bruin, Sytze; Herold, Martin; Quegan, Shaun; Labriere, Nicolas; Rodriguez-Veiga, Pedro; Avitabile, Valerio; Santoro, Maurizio; Mitchard, Edward T.A.; Ryan, Casey M.; Phillips, Oliver L.; Willcock, Simon; Verbeeck, Hans; Carreiras, Joao; Hein, Lars; Schelhaas, Mart-Jan; Pacheco-Pascagaza, Ana Maria; da Conceição Bispo, Polyanna; Laurin, Gaia Vaglio; Vieilledent, Ghislain; Slik, Ferry; Wijaya, Arief; Lewis, Simon L.; Morel, Alexandra; Liang, Jingjing; Sukhdeo, Hansrajie; Schepaschenko, Dmitry; Cavlovic, Jura; Gilani, Hammad; Lucas, Richard;Over the past decade, several global maps of above-ground biomass (AGB) have been produced, but they exhibit significant differences that reduce their value for climate and carbon cycle modelling, and also for national estimates of forest carbon stocks and their changes. The number of such maps is anticipated to increase because of new satellite missions dedicated to measuring AGB. Objective and consistent methods to estimate the accuracy and uncertainty of AGB maps are therefore urgently needed. This paper develops and demonstrates a framework aimed at achieving this. The framework provides a means to compare AGB maps with AGB estimates from a global collection of National Forest Inventories and research plots that accounts for the uncertainty of plot AGB errors. This uncertainty depends strongly on plot size, and is dominated by the combined errors from tree measurements and allometric models (inter-quartile range of their standard deviation (SD) = 30–151 Mg ha−1). Estimates of sampling errors are also important, especially in the most common case where plots are smaller than map pixels (SD = 16–44 Mg ha−1). Plot uncertainty estimates are used to calculate the minimum-variance linear unbiased estimates of the mean forest AGB when averaged to 0.1∘. These are used to assess four AGB maps: Baccini (2000), GEOCARBON (2008), GlobBiomass (2010) and CCI Biomass (2017). Map bias, estimated using the differences between the plot and 0.1∘ map averages, is modelled using random forest regression driven by variables shown to affect the map estimates. The bias model is particularly sensitive to the map estimate of AGB and tree cover, and exhibits strong regional biases. Variograms indicate that AGB map errors have map-specific spatial correlation up to a range of 50–104 km, which increases the variance of spatially aggregated AGB map estimates compared to when pixel errors are independent. After bias adjustment, total pantropical AGB and its associated SD are derived for the four map epochs. This total becomes closer to the value estimated by the Forest Resources Assessment after every epoch and shows a similar decrease. The framework is applicable to both local and global-scale analysis, and is available at https://github.com/arnanaraza/PlotToMap. Our study therefore constitutes a major step towards improved AGB map validation and improvement. International audience
IIASA PURE arrow_drop_down Ghent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesRemote Sensing of Environment; Research@WUR; Rothamsted Repository; The University of Manchester - Institutional RepositoryArticle . 2022 . Peer-reviewedLicense: CC BYMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03620056/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 46 citations 46 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 21visibility views 21 download downloads 4 Powered bymore_vert IIASA PURE arrow_drop_down Ghent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesRemote Sensing of Environment; Research@WUR; Rothamsted Repository; The University of Manchester - Institutional RepositoryArticle . 2022 . Peer-reviewedLicense: CC BYMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03620056/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Elsevier BV Funded by:ANR | DIGITAGANR| DIGITAGDeléglise, Hugo; Interdonato, Roberto; Bégué, Agnès; Maître d'Hôtel, Elodie; Teisseire, Maguelonne; Teisseire, Maguelonne; Roche, Mathieu;After many years of decline, hunger in Africa is growing again. This represents a global societal issue that all disciplines concerned with data analysis are facing. The rapid and accurate identification of food insecurity situations is a complex challenge. Although a number of food security alert and monitoring systems exist in food insecure countries, the data and methodologies they are based on do not allow for comprehending food security in all its complexity. In this study, we focus on two key food security indicators: the food consumption score (FCS) and the household dietary diversity score (HDDS). Based on the observation that producing such indicators is expensive in terms of time and resources, we propose the FSPHD (Food Security Prediction based on Heterogeneous Data) framework, based on state-of-the-art machine and deep learning models, to enable the estimation of FCS and HDDS starting from publicly available heterogeneous data. We take into account the indicators estimated using data from the Permanent Agricultural Survey conducted by the Burkina Faso government from 2009 to 2018 as reference data. We produce our estimations starting from heterogeneous data that include rasters (e.g., population density, land use, soil quality), GPS points (hospitals, schools, violent events), line vectors (waterways), quantitative variables (maize prices, World Bank variables, meteorological data) and time series (Smoothed Brightness Temperature - SMT, rainfall estimates, maize prices). The experimental results show a promising performance of our framework, which outperforms competing methods, thus paving the way for the development of advanced food security prediction systems based on state-of-the-art data science technologies. International audience
Agritrop arrow_drop_down Expert Systems with ApplicationsArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BY NCFull-Text: https://hal.inrae.fr/hal-03524835/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu23 citations 23 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Agritrop arrow_drop_down Expert Systems with ApplicationsArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BY NCFull-Text: https://hal.inrae.fr/hal-03524835/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eswa.2021.116189&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 France, United Kingdom, United Kingdom, United States, Germany, Norway, Netherlands, Switzerland, Italy, Belgium, Norway, Italy, Sweden, SpainPublisher:Elsevier BV Funded by:UKRI | Spatio-TEmporal Dynamics ..., NSERC, ARC | Active-passive microwave ... +1 projectsUKRI| Spatio-TEmporal Dynamics of Forest Response to ENSO Drought (STEED) ,NSERC ,ARC| Active-passive microwave soil moisture remote sensing: Towards sustainable land and water management from space ,NSF| RAPID: Acquisition of high resolution LiDAR for Barro Colorado Nature Monument, PanamaDuncanson, L; Kellner, JR; Armston, J; Dubayah, R; Minor, DM; Hancock, S; Healey, SP; Patterson, PL; Saarela, S; Marselis, S; Silva, CE; Bruening, J; Goetz, SJ; Tang, H; Hofton, M; Blair, B; Luthcke, S; Fatoyinbo, L; Abernethy, K; Alonso, A; Andersen, H-E; Aplin, P; Baker, TR; Barbier, N; Bastin, JF; Biber, P; Boeckx, P; Bogaert, J; Boschetti, L; Boucher, PB; Boyd, DS; Burslem, DFRP; Calvo-Rodriguez, S; Chave, J; Chazdon, RL; Clark, DB; Clark, DA; Cohen, WB; Coomes, DA; Corona, P; Cushman, KC; Cutler, MEJ; Dalling, JW; Dalponte, M; Dash, J; de-Miguel, S; Deng, S; Ellis, PW; Erasmus, B; Fekety, PA; Fernandez-Landa, A; Ferraz, A; Fischer, R; Fisher, AG; García-Abril, A; Gobakken, T; Hacker, JM; Heurich, M; Hill, RA; Hopkinson, C; Huang, H; Hubbell, SP; Hudak, AT; Huth, A; Imbach, B; Jeffery, KJ; Katoh, M; Kearsley, E; Kenfack, D; Kljun, N; Knapp, N; Král, K; Krůček, M; Labrière, N; Lewis, SL; Longo, M; Lucas, RM; Main, R; Manzanera, JA; Martínez, RV; Mathieu, R; Memiaghe, H; Meyer, V; Mendoza, AM; Monerris, A; Montesano, P; Morsdorf, F; Næsset, E; Naidoo, L; Nilus, R; O'Brien, M; Orwig, DA; Papathanassiou, K; Parker, G; Philipson, C; Phillips, OL; Pisek, J; Poulsen, JR; Pretzsch, H; Rüdiger, C; Saatchi, S; Sanchez-Azofeifa, A; Sanchez-Lopez, N; Scholes, R; Silva, CA; Simard, M; Skidmore, A; Stereńczak, K; Tanase, M; Torresan, C; Valbuena, R; Verbeeck, H; Vrska, T; Wessels, K; White, JC; White, LJT; Zahabu, E; Zgraggen, C;NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI’s footprint-level (~25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI’s waveform-to- biomass models take the form of parametric Ordinary Least Squares (OLS) models with simulated Relative Height (RH) metrics as predictor variables. From an exhaustive set of candidate models, we selected the best input predictor variables, and data transformations for each geographic stratum in the GEDI domain to produce a set of comprehensive predictive footprint-level models. We found that model selection frequently favored combinations of RH metrics at the 98th, 90th, 50th, and 10th height above ground-level percentiles (RH98, RH90, RH50, and RH10, respectively), but that inclusion of lower RH metrics (e.g., RH10) did not markedly improve model performance. Second, forced inclusion of RH98 in all models was important and did not degrade model performance, and the best performing models were parsimonious, typically having only 1-3 predictors. Third, stratification by geographic domain (PFT, geographic region) improved model performance in comparison to global models without stratification. Fourth, for the vast majority of strata, the best performing models were fit using square root transformation of field AGBD and/or height metrics. There was considerable variability in model performance across geographic strata, and areas with sparse training data and/or high AGBD values had the poorest performance. These models are used to produce global predictions of AGBD, but will be improved in the future as more and better training data become available. © 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
CORE (RIOXX-UK Aggre... arrow_drop_down Remote Sensing of EnvironmentArticle . 2022Full-Text: https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2022/isi/skidmore_abo.pdfData sources: NARCISRemote Sensing of Environment; Archivio istituzionale della ricerca - Fondazione Edmund Mach; DLR publication serverArticle . 2022 . Peer-reviewedLicense: CC BYeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 104 citations 104 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 39visibility views 39 download downloads 6 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Remote Sensing of EnvironmentArticle . 2022Full-Text: https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2022/isi/skidmore_abo.pdfData sources: NARCISRemote Sensing of Environment; Archivio istituzionale della ricerca - Fondazione Edmund Mach; DLR publication serverArticle . 2022 . Peer-reviewedLicense: CC BYeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, FrancePublisher:Elsevier BV Funded by:ANR | AI4HRI, ANR | JointAction4HRI, ANR | PSLANR| AI4HRI ,ANR| JointAction4HRI ,ANR| PSLBelhassein Kathleen; Fernández-Castro Víctor; Mayima Amandine; Clodic Aurélie; Pacherie Elisabeth; Guidetti Michèle; Alami Rachid; Cochet Hélène;The vast expansion of research in human-robot interactions (HRI) these last decades has been accompanied by the design of increasingly skilled robots for engaging in joint actions with humans. However, these advances have encountered significant challenges to ensure fluent interactions and sustain human motivation through the different steps of joint action. After exploring current literature on joint action in HRI, leading to a more precise definition of these challenges, the present article proposes some perspectives borrowed from psychology and philosophy showing the key role of communication in human interactions. From mutual recognition between individuals to the expression of commitment and social expectations, we argue that communicative cues can facilitate coordination, prediction, and motivation in the context of joint action. The description of several notions thus suggests that some communicative capacities can be implemented in the context of joint action for HRI, leading to an integrated perspective of robotic communication. French National Research Agency (ANR) ANR-16-CE33-0017 ANR-17-EURE-0017 FrontCog ANR-10-IDEX-0001-02 PSL Spanish Government PID2019-108870GB-I00 PID2019-109764RB-I00 Juan de la Cierva-Incorporacion grant IJC2019-040199-I
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Repositorio Institucional Universidad de GranadaArticle . 2022 . 2021License: CC BYMémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulouseArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03505047/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.actpsy.2021.103476&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Repositorio Institucional Universidad de GranadaArticle . 2022 . 2021License: CC BYMémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulouseArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03505047/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.actpsy.2021.103476&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | Strength2Food, EC | FOODLINKSEC| Strength2Food ,EC| FOODLINKSKonstadinos Mattas; Efthimia Tsakiridou; Ch Karelakis; Dimitra Lazaridou; Matthew Gorton; Jelena Filipović; Carmen Hubbard; M. Saidi; D. Stojkovic; Barbara Tocco; Angela Tregear; Mario Veneziani;Background: The nexus of agri-food and sustainability in economic development has recently attracted the interest of policymakers, as global challenges like climate change and food security are revisited and reassessed. The critical role of food production in economic development has been emphasized through targeted agricultural quality policies. Many developed countries worldwide, including EU member states, have introduced food quality policies that could support sustainability.Scope and approach: This paper combines knowledge obtained by several groups in a broad EU study and the reflections on policy-related results by EU-stakeholders, streamlined by a Delphi analysis.Current work presents research-based policy recommendations and statements on various quality schemes, introductory inferred from expert opinions throughout Europe, gauged through a modified policy Delphi framework.Key findings and conclusions: A roadmap of policy and practical proposals have been identified for all key stakeholders involved in these initiatives, implying the need to reshape the supply chain dynamics to continuously improve producers, processors, retailers, and consumers within the EU and definitively worldwide. Furthermore, implementing a holistic approach considering environmental and socio-economic features can improve the effectiveness of EU food quality policies.
Edinburgh Research E... arrow_drop_down Trends in Food Science & TechnologyArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Edinburgh Research E... arrow_drop_down Trends in Food Science & TechnologyArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.tifs.2021.11.021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Elsevier BV Hase, Niklas; Doktor, Daniel; Rebmann, Corinna; Dechant, Benjamin; Mollenhauer, Hannes; Cuntz, Matthias;International audience; The physical mechanisms behind correlations of earth observations and remote sensing products are of vital importance. The so-called 'near-infrared reflectance of vegetation' (NIR V) and gross primary production (GPP) show high correlations among different ecosystems and temporal scales but the underlying relationship is still poorly understood. NIR V is defined as the product of normalized difference vegetation index (NDVI) and nearinfrared (NIR) canopy reflectance (R NIR). We examined this relationship in the case of a temperate deciduous forest in Germany. GPP, R NIR and NIR V all exhibited a strong rise during leaf development in spring and a continual decline after the maximum in early summer. The decline of NIR V in late summer was mainly driven by the decline of R NIR , since NDVI remained saturated. Here we tested the R NIR decline attributions to changes in leaf area index, leaf optical properties, canopy structure, sun-sensor geometry, or understory vegetation by measuring seasonal variations of those factors of the temperate deciduous forest. Leaf area was nearly constant between May and mid September, leaf albedo decreased slightly, leaf angles increased over time towards more vertical leaves, and understory reflectance decreased considerably. We simulated the seasonal R NIR decline of the forest using the radiative transfer model FRT and quantified the sensitivity of the decline to variations in the measured parameters. FRT captured well the observed seasonal R NIR decline by Sentinel 2 using the measured optical and structural properties. Decreasing understory reflectance alone explained 43% of the simulated R NIR decrease, while leaf angle variations explained 31%, the solar zenith angle (SZA) 21%, leaf albedo 7%, and LAI 0%. The effect size of the SZA depended on the viewing angle and would hence be different for different satellites and for local instruments. The results may help to better understand and help to track seasonal changes in forest structure and leaf optical properties using remote sensing techniques. They also suggest that the proposed link between the seasonal evolution of GPP and NIR V may be weaker than expected.
Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2021.108746&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Informa UK Limited Funded by:EC | SOILCAREEC| SOILCAREPierre Levasseur; Katrin Erdlenbruch; Christelle Gramaglia; Sofia Bento; Lúcia Fernandes; Pedro Baños Páez;This paper looks at three contaminated communities in southern Europe facing pollution from industrial and mining activity and analyses forms of avoidance behaviour, using both economic and sociological approaches. Based on a quantitative household survey, we show that avoidance behaviour is mainly explained by residential location and socio-economic characteristics. Pollution perception is not statistically correlated to most avoidance behaviour. From in-depth qualitative interviews, we learn more about people’s risk perception and whether and why people adopt avoidance behaviour, including discovering some inventive solutions. To conclude, our results cast doubt on the efficacy of current public advisory communications. International audience
HAL Descartes; Mémoi... arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BY NDFull-Text: https://hal.science/hal-03549773/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/00346764.2022.2030542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert HAL Descartes; Mémoi... arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BY NDFull-Text: https://hal.science/hal-03549773/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Belgium, United Kingdom, France, France, Denmark, France, NetherlandsPublisher:Wiley Funded by:EC | CropBooster-PEC| CropBooster-PGojon, A; Nussaume, L; Luu, DT; Murchie, EH; Baekelandt, A; Rodrigues Saltenis, VL; Cohan, JP; Desnos, T; Inzé, D; Ferguson, JN; Guiderdonni, E; Krapp, A; Klein Lankhorst, R; Maurel, C; Rouached, H; Parry, MAJ; Pribil, M; Scharff, LB; Nacry, P;handle: 1854/LU-8739897
Plant scientists and farmers are facing major challenges in providing food and nutritional security for a growing population, while preserving natural resources and biodiversity. Moreover, this should be done while adapting agriculture to climate change and by reducing its carbon footprint. To address these challenges, there is an urgent need to breed crops that are more resilient to suboptimal environments. Huge progress has recently been made in understanding the physiological, genetic and molecular bases of plant nutrition and environmental responses, paving the way towards a more sustainable agriculture. In this review, we present an overview of these progresses and strategies that could be developed to increase plant nutrient use efficiency and tolerance to abiotic stresses. As illustrated by many examples, they already led to promising achievements and crop improvements. Here, we focus on nitrogen and phosphate uptake and use efficiency and on adaptation to drought, salinity and heat stress. These examples first show the necessity of deepening our physiological and molecular understanding of plant environmental responses. In particular, more attention should be paid to investigate stress combinations and stress recovery and acclimation that have been largely neglected to date. It will be necessary to extend these approaches from model plants to crops, to unravel the relevant molecular targets of biotechnological or genetic strategies directly in these species. Similarly, sustained efforts should be done for further exploring the genetic resources available in these species, as well as in wild species adapted to unfavourable environments. Finally, technological developments will be required to breed crops that are more resilient and efficient. This especially relates to the development of multiscale phenotyping under field conditions and a wide range of environments, and use of modelling and big data management to handle the huge amount of information provided by the new molecular, genetic and phenotyping techniques. International audience
Research@WUR; Food a... arrow_drop_down Copenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-03605663/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/fes3.369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 16visibility views 16 download downloads 8 Powered bymore_vert Research@WUR; Food a... arrow_drop_down Copenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-03605663/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Elsevier BV Authors: Yannick Dongmo Zangue; Romain Melot; Philippe Martin;Yannick Dongmo Zangue; Romain Melot; Philippe Martin;pmid: 34773782
International audience; We examined the environmental impacts of farmland management practices (FMPs), considering FMPs as frequent or single actions that change both land use AND use rights (land and property relations). Based on a review of the international literature in both the social and life sciences and using an analytical framework of landscape agronomy, we explored the links between FMPs and changes in agricultural practices designed for the achievement of environmental goals. The Web of Science (WOS) and SCOPUS bibliographic databases were used to identify references on FMP types and their environmental effects based on the following search equations: 1- " Farmland tenure OR cropland tenure OR farm size and environment " and 2- “Farmland use rights OR farmland property rights AND environment OR pollution OR biodiversity.” Ninety references were selected from these databases and read in depth. Google scholar enabled us to identify an additional 20 papers, using the snowball approach. From this analysis, we present a typology of FMPs based on the distinction between bottom-up strategies, which rely on local initiatives from farmers to improve the overall functioning of their farms, and top-down strategies, which originate from public bodies or private organizations. Our results also highlight the environmental impacts of FMPs considered in the literature: tenure arrangements, whether rental or exchange of land parcels, may alter crop succession and reduce phytosanitary pressure without changing cropping plans. Considering the direct agronomic implications of farmers' land dynamics, we conclude that the area of FMPs is a potential tool for reducing the environmental impacts of agricultural activities and protecting natural resources. This is the subject of ongoing research that seeks to explore a particular FMP in greater depth, along with temporary exchanges of plots between farmers as an agri-environmental tool to reduce agricultural impacts on environment.
Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2022License: CC BY NC NDFull-Text: https://hal.inrae.fr/hal-03430589/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2022License: CC BY NC NDFull-Text: https://hal.inrae.fr/hal-03430589/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2021.114059&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Institute of Electrical and Electronics Engineers (IEEE) Anna Karas; Fatima Karbou; Sophie Giffard-Roisin; Philippe Durand; Nicolas Eckert;In this study, we develop a novel method to automatically detect areas of snow avalanche debris using a color space segmentation technique applied to SAR image time series through January 2018 in the Swiss Alps. Debris avalanche zones are detected assuming that these areas are characterised by a significant and localised increase in SAR signal relative to the surrounding environment. We undertake a sensitivity study by calculating debris products by varying the D-M reference images (a stable reference image taken several weeks before the event). We examine the results according to the direction of the orbit, the characteristics of the terrain (slope, altitude, orientation) and also by evaluating the relevance of the detection with the help of an independent SPOT database ([1]) including 18,737 avalanche events. Small avalanches are not detected by SAR images and depending on the orientation of the terrain some avalanches are not detected by either the ascending or the descending orbit. The detection results vary with the reference image; best detection results are obtained with some selected individual dates with almost 70 % of verified avalanche events using the ascending orbit. International audience
Mémoires en Sciences... arrow_drop_down IEEE Transactions on Geoscience and Remote SensingArticle . 2022 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tgrs.2021.3131853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down IEEE Transactions on Geoscience and Remote SensingArticle . 2022 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, Belgium, Germany, France, Austria, United Kingdom, France, Netherlands, United Kingdom, United KingdomPublisher:Elsevier BV Funded by:EC | VERIFYEC| VERIFYAraza, Arnan; de Bruin, Sytze; Herold, Martin; Quegan, Shaun; Labriere, Nicolas; Rodriguez-Veiga, Pedro; Avitabile, Valerio; Santoro, Maurizio; Mitchard, Edward T.A.; Ryan, Casey M.; Phillips, Oliver L.; Willcock, Simon; Verbeeck, Hans; Carreiras, Joao; Hein, Lars; Schelhaas, Mart-Jan; Pacheco-Pascagaza, Ana Maria; da Conceição Bispo, Polyanna; Laurin, Gaia Vaglio; Vieilledent, Ghislain; Slik, Ferry; Wijaya, Arief; Lewis, Simon L.; Morel, Alexandra; Liang, Jingjing; Sukhdeo, Hansrajie; Schepaschenko, Dmitry; Cavlovic, Jura; Gilani, Hammad; Lucas, Richard;Over the past decade, several global maps of above-ground biomass (AGB) have been produced, but they exhibit significant differences that reduce their value for climate and carbon cycle modelling, and also for national estimates of forest carbon stocks and their changes. The number of such maps is anticipated to increase because of new satellite missions dedicated to measuring AGB. Objective and consistent methods to estimate the accuracy and uncertainty of AGB maps are therefore urgently needed. This paper develops and demonstrates a framework aimed at achieving this. The framework provides a means to compare AGB maps with AGB estimates from a global collection of National Forest Inventories and research plots that accounts for the uncertainty of plot AGB errors. This uncertainty depends strongly on plot size, and is dominated by the combined errors from tree measurements and allometric models (inter-quartile range of their standard deviation (SD) = 30–151 Mg ha−1). Estimates of sampling errors are also important, especially in the most common case where plots are smaller than map pixels (SD = 16–44 Mg ha−1). Plot uncertainty estimates are used to calculate the minimum-variance linear unbiased estimates of the mean forest AGB when averaged to 0.1∘. These are used to assess four AGB maps: Baccini (2000), GEOCARBON (2008), GlobBiomass (2010) and CCI Biomass (2017). Map bias, estimated using the differences between the plot and 0.1∘ map averages, is modelled using random forest regression driven by variables shown to affect the map estimates. The bias model is particularly sensitive to the map estimate of AGB and tree cover, and exhibits strong regional biases. Variograms indicate that AGB map errors have map-specific spatial correlation up to a range of 50–104 km, which increases the variance of spatially aggregated AGB map estimates compared to when pixel errors are independent. After bias adjustment, total pantropical AGB and its associated SD are derived for the four map epochs. This total becomes closer to the value estimated by the Forest Resources Assessment after every epoch and shows a similar decrease. The framework is applicable to both local and global-scale analysis, and is available at https://github.com/arnanaraza/PlotToMap. Our study therefore constitutes a major step towards improved AGB map validation and improvement. International audience
IIASA PURE arrow_drop_down Ghent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesRemote Sensing of Environment; Research@WUR; Rothamsted Repository; The University of Manchester - Institutional RepositoryArticle . 2022 . Peer-reviewedLicense: CC BYMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03620056/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 46 citations 46 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 21visibility views 21 download downloads 4 Powered bymore_vert IIASA PURE arrow_drop_down Ghent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyGFZ German Research Centre for GeosciencesArticle . 2022License: CC BYData sources: GFZ German Research Centre for GeosciencesRemote Sensing of Environment; Research@WUR; Rothamsted Repository; The University of Manchester - Institutional RepositoryArticle . 2022 . Peer-reviewedLicense: CC BYMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03620056/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rse.2022.112917&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Elsevier BV Funded by:ANR | DIGITAGANR| DIGITAGDeléglise, Hugo; Interdonato, Roberto; Bégué, Agnès; Maître d'Hôtel, Elodie; Teisseire, Maguelonne; Teisseire, Maguelonne; Roche, Mathieu;After many years of decline, hunger in Africa is growing again. This represents a global societal issue that all disciplines concerned with data analysis are facing. The rapid and accurate identification of food insecurity situations is a complex challenge. Although a number of food security alert and monitoring systems exist in food insecure countries, the data and methodologies they are based on do not allow for comprehending food security in all its complexity. In this study, we focus on two key food security indicators: the food consumption score (FCS) and the household dietary diversity score (HDDS). Based on the observation that producing such indicators is expensive in terms of time and resources, we propose the FSPHD (Food Security Prediction based on Heterogeneous Data) framework, based on state-of-the-art machine and deep learning models, to enable the estimation of FCS and HDDS starting from publicly available heterogeneous data. We take into account the indicators estimated using data from the Permanent Agricultural Survey conducted by the Burkina Faso government from 2009 to 2018 as reference data. We produce our estimations starting from heterogeneous data that include rasters (e.g., population density, land use, soil quality), GPS points (hospitals, schools, violent events), line vectors (waterways), quantitative variables (maize prices, World Bank variables, meteorological data) and time series (Smoothed Brightness Temperature - SMT, rainfall estimates, maize prices). The experimental results show a promising performance of our framework, which outperforms competing methods, thus paving the way for the development of advanced food security prediction systems based on state-of-the-art data science technologies. International audience
Agritrop arrow_drop_down Expert Systems with ApplicationsArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BY NCFull-Text: https://hal.inrae.fr/hal-03524835/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eswa.2021.116189&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu23 citations 23 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Agritrop arrow_drop_down Expert Systems with ApplicationsArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BY NCFull-Text: https://hal.inrae.fr/hal-03524835/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eswa.2021.116189&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 France, United Kingdom, United Kingdom, United States, Germany, Norway, Netherlands, Switzerland, Italy, Belgium, Norway, Italy, Sweden, SpainPublisher:Elsevier BV Funded by:UKRI | Spatio-TEmporal Dynamics ..., NSERC, ARC | Active-passive microwave ... +1 projectsUKRI| Spatio-TEmporal Dynamics of Forest Response to ENSO Drought (STEED) ,NSERC ,ARC| Active-passive microwave soil moisture remote sensing: Towards sustainable land and water management from space ,NSF| RAPID: Acquisition of high resolution LiDAR for Barro Colorado Nature Monument, PanamaDuncanson, L; Kellner, JR; Armston, J; Dubayah, R; Minor, DM; Hancock, S; Healey, SP; Patterson, PL; Saarela, S; Marselis, S; Silva, CE; Bruening, J; Goetz, SJ; Tang, H; Hofton, M; Blair, B; Luthcke, S; Fatoyinbo, L; Abernethy, K; Alonso, A; Andersen, H-E; Aplin, P; Baker, TR; Barbier, N; Bastin, JF; Biber, P; Boeckx, P; Bogaert, J; Boschetti, L; Boucher, PB; Boyd, DS; Burslem, DFRP; Calvo-Rodriguez, S; Chave, J; Chazdon, RL; Clark, DB; Clark, DA; Cohen, WB; Coomes, DA; Corona, P; Cushman, KC; Cutler, MEJ; Dalling, JW; Dalponte, M; Dash, J; de-Miguel, S; Deng, S; Ellis, PW; Erasmus, B; Fekety, PA; Fernandez-Landa, A; Ferraz, A; Fischer, R; Fisher, AG; García-Abril, A; Gobakken, T; Hacker, JM; Heurich, M; Hill, RA; Hopkinson, C; Huang, H; Hubbell, SP; Hudak, AT; Huth, A; Imbach, B; Jeffery, KJ; Katoh, M; Kearsley, E; Kenfack, D; Kljun, N; Knapp, N; Král, K; Krůček, M; Labrière, N; Lewis, SL; Longo, M; Lucas, RM; Main, R; Manzanera, JA; Martínez, RV; Mathieu, R; Memiaghe, H; Meyer, V; Mendoza, AM; Monerris, A; Montesano, P; Morsdorf, F; Næsset, E; Naidoo, L; Nilus, R; O'Brien, M; Orwig, DA; Papathanassiou, K; Parker, G; Philipson, C; Phillips, OL; Pisek, J; Poulsen, JR; Pretzsch, H; Rüdiger, C; Saatchi, S; Sanchez-Azofeifa, A; Sanchez-Lopez, N; Scholes, R; Silva, CA; Simard, M; Skidmore, A; Stereńczak, K; Tanase, M; Torresan, C; Valbuena, R; Verbeeck, H; Vrska, T; Wessels, K; White, JC; White, LJT; Zahabu, E; Zgraggen, C;NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI’s footprint-level (~25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI’s waveform-to- biomass models take the form of parametric Ordinary Least Squares (OLS) models with simulated Relative Height (RH) metrics as predictor variables. From an exhaustive set of candidate models, we selected the best input predictor variables, and data transformations for each geographic stratum in the GEDI domain to produce a set of comprehensive predictive footprint-level models. We found that model selection frequently favored combinations of RH metrics at the 98th, 90th, 50th, and 10th height above ground-level percentiles (RH98, RH90, RH50, and RH10, respectively), but that inclusion of lower RH metrics (e.g., RH10) did not markedly improve model performance. Second, forced inclusion of RH98 in all models was important and did not degrade model performance, and the best performing models were parsimonious, typically having only 1-3 predictors. Third, stratification by geographic domain (PFT, geographic region) improved model performance in comparison to global models without stratification. Fourth, for the vast majority of strata, the best performing models were fit using square root transformation of field AGBD and/or height metrics. There was considerable variability in model performance across geographic strata, and areas with sparse training data and/or high AGBD values had the poorest performance. These models are used to produce global predictions of AGBD, but will be improved in the future as more and better training data become available. © 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
CORE (RIOXX-UK Aggre... arrow_drop_down Remote Sensing of EnvironmentArticle . 2022Full-Text: https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2022/isi/skidmore_abo.pdfData sources: NARCISRemote Sensing of Environment; Archivio istituzionale della ricerca - Fondazione Edmund Mach; DLR publication serverArticle . 2022 . Peer-reviewedLicense: CC BYeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 104 citations 104 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 39visibility views 39 download downloads 6 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Remote Sensing of EnvironmentArticle . 2022Full-Text: https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2022/isi/skidmore_abo.pdfData sources: NARCISRemote Sensing of Environment; Archivio istituzionale della ricerca - Fondazione Edmund Mach; DLR publication serverArticle . 2022 . Peer-reviewedLicense: CC BYeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rse.2021.112845&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, FrancePublisher:Elsevier BV Funded by:ANR | AI4HRI, ANR | JointAction4HRI, ANR | PSLANR| AI4HRI ,ANR| JointAction4HRI ,ANR| PSLBelhassein Kathleen; Fernández-Castro Víctor; Mayima Amandine; Clodic Aurélie; Pacherie Elisabeth; Guidetti Michèle; Alami Rachid; Cochet Hélène;The vast expansion of research in human-robot interactions (HRI) these last decades has been accompanied by the design of increasingly skilled robots for engaging in joint actions with humans. However, these advances have encountered significant challenges to ensure fluent interactions and sustain human motivation through the different steps of joint action. After exploring current literature on joint action in HRI, leading to a more precise definition of these challenges, the present article proposes some perspectives borrowed from psychology and philosophy showing the key role of communication in human interactions. From mutual recognition between individuals to the expression of commitment and social expectations, we argue that communicative cues can facilitate coordination, prediction, and motivation in the context of joint action. The description of several notions thus suggests that some communicative capacities can be implemented in the context of joint action for HRI, leading to an integrated perspective of robotic communication. French National Research Agency (ANR) ANR-16-CE33-0017 ANR-17-EURE-0017 FrontCog ANR-10-IDEX-0001-02 PSL Spanish Government PID2019-108870GB-I00 PID2019-109764RB-I00 Juan de la Cierva-Incorporacion grant IJC2019-040199-I
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Repositorio Institucional Universidad de GranadaArticle . 2022 . 2021License: CC BYMémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulouseArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03505047/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.actpsy.2021.103476&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Repositorio Institucional Universidad de GranadaArticle . 2022 . 2021License: CC BYMémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulouseArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03505047/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.actpsy.2021.103476&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | Strength2Food, EC | FOODLINKSEC| Strength2Food ,EC| FOODLINKSKonstadinos Mattas; Efthimia Tsakiridou; Ch Karelakis; Dimitra Lazaridou; Matthew Gorton; Jelena Filipović; Carmen Hubbard; M. Saidi; D. Stojkovic; Barbara Tocco; Angela Tregear; Mario Veneziani;Background: The nexus of agri-food and sustainability in economic development has recently attracted the interest of policymakers, as global challenges like climate change and food security are revisited and reassessed. The critical role of food production in economic development has been emphasized through targeted agricultural quality policies. Many developed countries worldwide, including EU member states, have introduced food quality policies that could support sustainability.Scope and approach: This paper combines knowledge obtained by several groups in a broad EU study and the reflections on policy-related results by EU-stakeholders, streamlined by a Delphi analysis.Current work presents research-based policy recommendations and statements on various quality schemes, introductory inferred from expert opinions throughout Europe, gauged through a modified policy Delphi framework.Key findings and conclusions: A roadmap of policy and practical proposals have been identified for all key stakeholders involved in these initiatives, implying the need to reshape the supply chain dynamics to continuously improve producers, processors, retailers, and consumers within the EU and definitively worldwide. Furthermore, implementing a holistic approach considering environmental and socio-economic features can improve the effectiveness of EU food quality policies.
Edinburgh Research E... arrow_drop_down Trends in Food Science & TechnologyArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.tifs.2021.11.021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Edinburgh Research E... arrow_drop_down Trends in Food Science & TechnologyArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.tifs.2021.11.021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Elsevier BV Hase, Niklas; Doktor, Daniel; Rebmann, Corinna; Dechant, Benjamin; Mollenhauer, Hannes; Cuntz, Matthias;International audience; The physical mechanisms behind correlations of earth observations and remote sensing products are of vital importance. The so-called 'near-infrared reflectance of vegetation' (NIR V) and gross primary production (GPP) show high correlations among different ecosystems and temporal scales but the underlying relationship is still poorly understood. NIR V is defined as the product of normalized difference vegetation index (NDVI) and nearinfrared (NIR) canopy reflectance (R NIR). We examined this relationship in the case of a temperate deciduous forest in Germany. GPP, R NIR and NIR V all exhibited a strong rise during leaf development in spring and a continual decline after the maximum in early summer. The decline of NIR V in late summer was mainly driven by the decline of R NIR , since NDVI remained saturated. Here we tested the R NIR decline attributions to changes in leaf area index, leaf optical properties, canopy structure, sun-sensor geometry, or understory vegetation by measuring seasonal variations of those factors of the temperate deciduous forest. Leaf area was nearly constant between May and mid September, leaf albedo decreased slightly, leaf angles increased over time towards more vertical leaves, and understory reflectance decreased considerably. We simulated the seasonal R NIR decline of the forest using the radiative transfer model FRT and quantified the sensitivity of the decline to variations in the measured parameters. FRT captured well the observed seasonal R NIR decline by Sentinel 2 using the measured optical and structural properties. Decreasing understory reflectance alone explained 43% of the simulated R NIR decrease, while leaf angle variations explained 31%, the solar zenith angle (SZA) 21%, leaf albedo 7%, and LAI 0%. The effect size of the SZA depended on the viewing angle and would hence be different for different satellites and for local instruments. The results may help to better understand and help to track seasonal changes in forest structure and leaf optical properties using remote sensing techniques. They also suggest that the proposed link between the seasonal evolution of GPP and NIR V may be weaker than expected.
Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2021.108746&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2021.108746&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Informa UK Limited Funded by:EC | SOILCAREEC| SOILCAREPierre Levasseur; Katrin Erdlenbruch; Christelle Gramaglia; Sofia Bento; Lúcia Fernandes; Pedro Baños Páez;This paper looks at three contaminated communities in southern Europe facing pollution from industrial and mining activity and analyses forms of avoidance behaviour, using both economic and sociological approaches. Based on a quantitative household survey, we show that avoidance behaviour is mainly explained by residential location and socio-economic characteristics. Pollution perception is not statistically correlated to most avoidance behaviour. From in-depth qualitative interviews, we learn more about people’s risk perception and whether and why people adopt avoidance behaviour, including discovering some inventive solutions. To conclude, our results cast doubt on the efficacy of current public advisory communications. International audience
HAL Descartes; Mémoi... arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BY NDFull-Text: https://hal.science/hal-03549773/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/00346764.2022.2030542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert HAL Descartes; Mémoi... arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BY NDFull-Text: https://hal.science/hal-03549773/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/00346764.2022.2030542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Belgium, United Kingdom, France, France, Denmark, France, NetherlandsPublisher:Wiley Funded by:EC | CropBooster-PEC| CropBooster-PGojon, A; Nussaume, L; Luu, DT; Murchie, EH; Baekelandt, A; Rodrigues Saltenis, VL; Cohan, JP; Desnos, T; Inzé, D; Ferguson, JN; Guiderdonni, E; Krapp, A; Klein Lankhorst, R; Maurel, C; Rouached, H; Parry, MAJ; Pribil, M; Scharff, LB; Nacry, P;handle: 1854/LU-8739897
Plant scientists and farmers are facing major challenges in providing food and nutritional security for a growing population, while preserving natural resources and biodiversity. Moreover, this should be done while adapting agriculture to climate change and by reducing its carbon footprint. To address these challenges, there is an urgent need to breed crops that are more resilient to suboptimal environments. Huge progress has recently been made in understanding the physiological, genetic and molecular bases of plant nutrition and environmental responses, paving the way towards a more sustainable agriculture. In this review, we present an overview of these progresses and strategies that could be developed to increase plant nutrient use efficiency and tolerance to abiotic stresses. As illustrated by many examples, they already led to promising achievements and crop improvements. Here, we focus on nitrogen and phosphate uptake and use efficiency and on adaptation to drought, salinity and heat stress. These examples first show the necessity of deepening our physiological and molecular understanding of plant environmental responses. In particular, more attention should be paid to investigate stress combinations and stress recovery and acclimation that have been largely neglected to date. It will be necessary to extend these approaches from model plants to crops, to unravel the relevant molecular targets of biotechnological or genetic strategies directly in these species. Similarly, sustained efforts should be done for further exploring the genetic resources available in these species, as well as in wild species adapted to unfavourable environments. Finally, technological developments will be required to breed crops that are more resilient and efficient. This especially relates to the development of multiscale phenotyping under field conditions and a wide range of environments, and use of modelling and big data management to handle the huge amount of information provided by the new molecular, genetic and phenotyping techniques. International audience
Research@WUR; Food a... arrow_drop_down Copenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-03605663/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/fes3.369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 16visibility views 16 download downloads 8 Powered bymore_vert Research@WUR; Food a... arrow_drop_down Copenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-CEAArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-03605663/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/fes3.369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Elsevier BV Authors: Yannick Dongmo Zangue; Romain Melot; Philippe Martin;Yannick Dongmo Zangue; Romain Melot; Philippe Martin;pmid: 34773782
International audience; We examined the environmental impacts of farmland management practices (FMPs), considering FMPs as frequent or single actions that change both land use AND use rights (land and property relations). Based on a review of the international literature in both the social and life sciences and using an analytical framework of landscape agronomy, we explored the links between FMPs and changes in agricultural practices designed for the achievement of environmental goals. The Web of Science (WOS) and SCOPUS bibliographic databases were used to identify references on FMP types and their environmental effects based on the following search equations: 1- " Farmland tenure OR cropland tenure OR farm size and environment " and 2- “Farmland use rights OR farmland property rights AND environment OR pollution OR biodiversity.” Ninety references were selected from these databases and read in depth. Google scholar enabled us to identify an additional 20 papers, using the snowball approach. From this analysis, we present a typology of FMPs based on the distinction between bottom-up strategies, which rely on local initiatives from farmers to improve the overall functioning of their farms, and top-down strategies, which originate from public bodies or private organizations. Our results also highlight the environmental impacts of FMPs considered in the literature: tenure arrangements, whether rental or exchange of land parcels, may alter crop succession and reduce phytosanitary pressure without changing cropping plans. Considering the direct agronomic implications of farmers' land dynamics, we conclude that the area of FMPs is a potential tool for reducing the environmental impacts of agricultural activities and protecting natural resources. This is the subject of ongoing research that seeks to explore a particular FMP in greater depth, along with temporary exchanges of plots between farmers as an agri-environmental tool to reduce agricultural impacts on environment.
Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2022License: CC BY NC NDFull-Text: https://hal.inrae.fr/hal-03430589/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2021.114059&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2022License: CC BY NC NDFull-Text: https://hal.inrae.fr/hal-03430589/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2021.114059&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:Institute of Electrical and Electronics Engineers (IEEE) Anna Karas; Fatima Karbou; Sophie Giffard-Roisin; Philippe Durand; Nicolas Eckert;In this study, we develop a novel method to automatically detect areas of snow avalanche debris using a color space segmentation technique applied to SAR image time series through January 2018 in the Swiss Alps. Debris avalanche zones are detected assuming that these areas are characterised by a significant and localised increase in SAR signal relative to the surrounding environment. We undertake a sensitivity study by calculating debris products by varying the D-M reference images (a stable reference image taken several weeks before the event). We examine the results according to the direction of the orbit, the characteristics of the terrain (slope, altitude, orientation) and also by evaluating the relevance of the detection with the help of an independent SPOT database ([1]) including 18,737 avalanche events. Small avalanches are not detected by SAR images and depending on the orientation of the terrain some avalanches are not detected by either the ascending or the descending orbit. The detection results vary with the reference image; best detection results are obtained with some selected individual dates with almost 70 % of verified avalanche events using the ascending orbit. International audience
Mémoires en Sciences... arrow_drop_down IEEE Transactions on Geoscience and Remote SensingArticle . 2022 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tgrs.2021.3131853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down IEEE Transactions on Geoscience and Remote SensingArticle . 2022 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tgrs.2021.3131853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu