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  • Rural Digital Europe
  • 2014-2023
  • Other research products
  • CemOA
  • Repositori Institucional URV

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Aranzana, M. J.; Arus, P.; Howad, W.; Iglesias, I.; +4 Authors
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Carrillo, E.; Matese, A.; Rousseau, J.; Tisseyre, B.;

    The wine industry needs to know the yield of each vine field precisely to optimize quality management and limit the costs of harvest operations. Yield estimation is usually based on random vine sampling. The resulting estimations are often not precise enough because of the high variability within vineyard fields. The aim of the work was to study the relevance of using NDVI-based sampling strategies to improve estimation of mean field yield. The study was conducted in 9 non-irrigated vine fields located in southern France. For each field, NDVI was derived from multi-spectral airborne images. The variables which define the yield: (berry weight at harvest (BWh), bunch number per vine (BuN) and berry number per bunch (BN)) were measured on a regular grid. This data-base allowed for five different sampling schemes to be tested. These sampling methods were mainly based on a stratification of NDVI values, they differed in the way as to whether NDVI was used as ancillary information to design a sampling strategy for BuN, BN, BW or for all yield variables together. Results showed a significant linear relationship between NDVI and BW, indicating the interest of using NDVI information to optimize sampling for this parameter. However this result is mitigated by the low incidence of BW in the yield variance (4 %) within the field. Other yield components, BuN and BN explain a higher percentage of yield variance (60% and 11 % respectively) but did not show any clear relationship with NDVI. A large difference was observed between fields, which justifies testing the optimized sampling methods on all of them and for all yield variables. On average, sampling methods based on NDVI systematically improved vine field yield estimates by at least 5-7 % compared to the random method. Depending on the fields, error improvement ranged from -2 % to 15 %. Based on these results, the practical recommendation is to consider a two-step sampling method where BuN is randomly sampled and BW is sampled according to the NDVI values.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CemOA
    2015
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CemOA
      2015
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Lauga, B.; Balvay, B.; Topart, L.; Leclaire, J.; +5 Authors

    With the emergence of digital technologies, farms become a relevant source of data to meet the challenges of multi-performance agriculture. Beyond the services provided, access to farmers' data depends on a clear understanding of their use, which must be done in a transparent way. Several codes of conduct at a national or international level push for a voluntary commitment to respect some good practices in the use of agricultural data. To provide a tool and answer farmer's questions on the control of their data and the transparency of the data processing, the partners of the MULTIPASS project, have imagined an interoperable ecosystem of farmer consents management, protecting farmers from no consented uses of their data. Farmers' expectations of such an ecosystem have been expressed during workshops. They want to better identify existing data flows, including actors, data processes, and data clusters. Based on the farmers' expectations, the MULTIPASS project stakeholders have proposed the architecture of an ecosystem integrating two consent management tools as "pilots". This ecosystem should take in charge the interoperability between each consent management tools or with future tools. This solution is based on a shared typology of data and data processes as well as on the specifications of the consent message content. All these elements should be easily accessible to meet the interoperability need of the ecosystem. It is also based on a router, which provides unified access to consent management tools (using API). In particular, it provides the farmer (beneficiary) with an exhaustive view of his/her consents (which can be distributed on several consent management systems), meeting farmers' expectations for transparency. It is also the point where a data provider can check whether the consent required to provide data exists, without needing to know which consent management system is concerned. In this project, the stakeholders want to demonstrate to agricultural professional organizations the benefits and feasibility of a consent management ecosystem. By strengthening the confidence of farmers to share data, the project will allow the emergence of new knowledge and new services.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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    CemOA
    2019
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CemOA
      2019
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Zribi, M.; Muddu, S.; Bousbih, S.; Al Bitar, A.; +3 Authors

    The main objective of this study is to analyze the potential use of L-band radar data for the estimation of soil moisture over tropical agricultural areas under dense vegetation cover conditions. Ten radar images were acquired using the Phased Array Synthetic Aperture Radar/Advanced Land Observing Satellite (PALSAR/ALOS)-2 sensor over the Berambadi watershed (south India), between June and October of 2018. Simultaneous ground measurements of soil moisture, soil roughness, and leaf area index (LAI) were also recorded. The sensitivity of PALSAR observations to variations in soil moisture has been reported by several authors, and is confirmed in the present study, even for the case of very dense crops. The radar signals are simulated using five different radar backscattering models (physical and semi-empirical), over bare soil, and over areas with various types of crop cover (turmeric, marigold, and sorghum). When the semi-empirical water cloud model (WCM) is parameterized as a function of the LAI, to account for the vegetation's contribution to the backscattered signal, it can provide relatively accurate estimations of soil moisture in turmeric and marigold fields, but has certain limitations when applied to sorghum fields. Observed limitations highlight the need to expand the analysis beyond the LAI by including additional vegetation parameters in order to take into account volume scattering in the L-band backscattered radar signal for accurate soil moisture estimation.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CemOA
    2019
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CemOA
      2019
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Ansaldi, E.; Bertrand, N.;

    / Le témoignage recueilli ici par Nathalie Bertrand auprès d'Emmanuel Ansaldi, adjoint scientifique à la Direction générale de l'agriculture de l'État de Genève, nous présente le concept de ferme urbaine et son expérimentation au sein d'un quartier genevois, une façon innovante de réconcilier ville et agriculture.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CemOA
    2016
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CemOA
      2016
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Hoegstrom, E.; Trofaier, A.M.; Gouttevin, I.; Bartsch, A.;

    Knowledge of surface hydrology is essential for many applications, including studies that aim to understand permafrost response to changing climate and the associated feedback mechanisms. Advanced remote sensing techniques make it possible to retrieve a range of land-surface variables, including radar retrieved soil moisture (SSM). It has been pointed out before that soil moisture retrieval from satellite data can be challenging at high latitudes, which correspond to remote areas where ground data are scarce and the applicability of satellite data of this type is essential. This study investigates backscatter variability other than associated with changing soil moisture in order to examine the possible impact on soil moisture retrieval. It focuses on issues specific to SSM retrieval in the Arctic, notably variations related to tundra lakes. ENVISAT Advanced Synthetic Aperture Radar (ASAR) Wide Swath (WS, 120 m) data are used to understand and quantify impacts on Metop (AAdvanced Scatterometer (ASCAT, 25 km) soil moisture retrieval during the snow free period. Sites of interest are chosen according to ASAR WS availability, high or low agreement between output from the land surface model ORCHIDEE and ASCAT derived SSM. Backscatter variations are analyzed with respect to the ASCAT footprint area. It can be shown that the low model agreement is related to water fraction in most cases. No difference could be detected between periods with floating ice (in snow off situation) and ice free periods at the chosen sites. The mean footprint backscatter is however impacted by partial short term surface roughness change. The water fraction correlates with backscatter deviations (relative to a smooth water surface reference image) within the ASCAT footprint areas . Backscatter deviations of up to 5 dB can occur in areas with less than 50% water fraction and an assumed soil moisture related range (sensitivity) of 7 dB in the ASCAT data. The sensitivity is also positively correlated with water fraction in regions with low land-surface model agreement (R = 0.68). A precise quantification of the impact on soil moisture retrieval would, however, need to consider actual soil moisture changes and sensor differences. The study demonstrates that the usage of higher spatial resolution data than currently available for SSM is required in lowland permafrost environments. / La connaissance de l'hydrologie de surface est essentielle mais difficile aux hautes latitudes du fait de la rareté des observations. Les observations satellites offrent le moyen d'y pallier, mais encore faut-il s'assurer de la validité de ces approches dans ces régions. Par l'intermédiaire de deux jeux de données satellite de résolutions différentes, on étudie ici la sensibilité du signal de micro-ondes actives rétrodiffusées à des facteurs autres que l'humidité superficielle des sols. Les zones d'étude ont été ciblées pour correspondre à des régions où les modèles hydrologiques divergent des observations. Dans la plupart de ces zones, l'utilisation d'un produit satellite à fine résolution met en évidence l'impact des lacs sur le signal micro-onde observé, et utilisé pour inférer l'humidité superficielle dans les produits satellites. Il est donc nécessaire d'apporter des corrections aux produits satellitaires dans les régions où la forte concentration en étendues d'eau libre et l'occurrence de vents violents en limitent la validité pour l'hydrologie de surface.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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    CemOA
    2014
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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      CemOA
      2014
      Data sources: CemOA
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    Authors: Lucie, X.; Durrieu, S.; Jolly, A.; Labbé, S.; +1 Authors

    Renewed interest in photogrammetry and recent developments of unmanned aerial vehicles (UAVs) open new possibilities in the field of forest planning and management. As the assessment of forest dendrometric parameters is usually a costly task, involving intensive field measurements, we were interested to evaluate how the use of accurate photogrammetric digital surface models (DSMs) could facilitate these estimations. Based on DSMs, dendrometric models were calibrated using circular plots (700 m²) measured in an area of interest (AOI). UAVs flight above these AOI were acquired at very high resolution (VHRI) giving images with a spatial resolution of 2.5 cm, as compared to 25,0 cm for the standard IGN aerial images. We were also interested in assessing the impact of DSMs resolution. For this purpose, DSMs were computed at the original resolution as well as degraded resolutions from 5.0 cm to 40.0 cm. Each DSM's elevation was then compared to manual stereoscopic measurements realized on the VHRI. By subtracting a digital terrain model (DTM) from each DSM, we derived canopy height models (CHMs). From these CHMs, we observed that plot height distributions were interesting indicators of forest structures and we were also able to established dominant height (H0) models. These results underline the interest of new photogrammetric approaches, and the importance of spatial resolutions, to improve forest planning and management. / Le renouveau de la photogrammétrie et le développement de moyens aéroportés légers tels que les drones permettent de nouvelles applications dans le domaine de l'aménagement et la gestion forestière. L'estimation de variables forestières se fait dans le cadre de processus longs et fastidieux sur le terrain. Dans l'idée d'automatiser l'extraction de variables dendrométriques, nous mettons en place une méthodologie pour générer les modèles numériques de surfaces (MNS) par photogrammétrie multi-vues les plus précis possibles compte-tenu des limites imposées par les algorithmes de calcul. Nous utilisons pour ce faire la suite photogrammétrique libre de l'IGN MicMac. Notre zone d'étude se situe dans la forêt domaniale du Ventouret (région PACA) qui est une forêt mixte de moyenne montagne. Pour qualifier la précision de ces MNS, nous disposons de relevés dendrométriques sur des placettes d'analyse de 700 m² représentatives des peuplements les plus fréquents à l'échelle de la forêt. Ces zones ont été survolées par un drone multi-rotors équipé d'un appareil photo numérique à focale fixe. Les clichés ont une résolution spatiale de 2,5 cm contre 25 cm pour les prises de vues standardisées de l'IGN. Afin d'étudier l'impact de la résolution sur la qualité des MNS générés, nous dégradons la résolution des prises de vues du drone jusqu'à obtenir un pixel terrain d'une quarantaine de centimètres. Nous comparons ensuite les altitudes de chaque MNS avec des pointés stéréoscopiques de référence réalisés manuellement sur les prises de vues originales. En soustrayant à chaque MNS un modèle numérique de terrain (MNT) LiDAR, nous calculons ensuite un modèle de hauteur de couvert (MHC). L'étude de la distribution des hauteurs sur chaque placette et d'un modèle statistique de hauteur dominante (H0) nous permettent de conclure sur l'intérêt de l'approche photogrammétrique et de déterminer des résolutions spatiales optimales pour appuyer le travail des gestionnaires et aménagistes forestiers.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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    CemOA
    2017
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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      CemOA
      2017
      Data sources: CemOA
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    Authors: Lauvernet, C.; Le Dimet, F.X.; Baret, F.;

    Information contained in time series of image data should be explicitly exploited in data assimilation methods instead of operating over single pixels. This study proposes to adapt a variational data assimilation method of LAI (Leaf Area Index) images in a crop model. The method assumes that the parameters are governed spatially at some levels (cultivar, field, and pixel), while some of them are assumed to be stable temporally over the whole image. Such constraints help at reducing the size of the inverse problem, transforming the usual assimilation scheme into simultaneous pixel patterns. DA with constraints is applied to the semi-mechanistic model BONSAÏ and evaluated by twin experiments both on the quality of LAI prediction and on parameter estimates. Sensitivity to the observations frequency is also evaluated. The constraints improve the method's robustness and estimates when the number of observations available decreases, compared to the conventional method. / En assimilation de données, une série temporelle de données-image devrait être traitée explicitement pour en extraire toute l'information. Cette étude propose d'adapter une méthode d'assimilation variationnelle d'images de LAI (Leaf Area Index) dans un modèle de végétation, afin d'intégrer l'information liée à l'aspect spatial des données. Pour cela, on considère que les paramètres sont contrôlés spatialement à certains niveaux: variété, parcelle, pixel, ou stables temporellement sur l'ensemble de l'image. Ces contraintes réduisent la taille du problème inverse, en transformant le schéma d'assimilation habituel à des ensembles de pixels simultanés. La méthode est appliquée sur le modèle semi-mécaniste BONSAÏ et évaluée sur la qualité de prédiction du LAI et d'estimation des paramètres d'entrée par expériences jumelles, ainsi que sur sa sensibilité à la fréquence des observations. Les contraintes spatio-temporelles améliorent la robustesse et les estimations lorsque la quantité d'observations disponibles diminue, par rapport à la méthode classique, où chaque pixel.date est considéré indépendamment des autres.

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    CemOA
    2014
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      CemOA
      2014
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Martí-Cardona, B.; Arbat-Bofill, M.; Prats-Rodríguez, J.; Pipia, L.;

    ASTER and Landsat images were used for mapping the water surface temperature in the Sobrón, Mequinenza and Ribarroja reservoirs in the Ebro River, Spain. The spatially continuous information in these maps reveals the impact of the reservoir on the river natural thermal gradient in two different periods of the year. It also evidences the thermal impact intensity and extent of the refrigeration flow discharge from a nuclear power plant located on the river bank. The high spatial resolution images of the Ribarroja reservoir, acquired by the airborne hyperspectral TASI sensor, show spatial patterns which complemented the in-situ point measurements and contributed valuable data for validating the three-dimensional thermohydrodynamic model of the reservoir.

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    CemOA
    2016
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      CemOA
      2016
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    Authors: Jardi, Cristina; Casanova, Byron David; Arija, Victoria;

    Background: Child malnutrition is a major epidemiological problem in developing countries, especially in African countries. Nutrition education for mothers can alleviate this malnutrition in their young children. The objective of this study was to make a systematic review to assess the effect of intervention programs in nutrition education for African mothers on the nutritional status of their infants. Methods: A bibliographic search was carried out in the PubMed database for clinical trials between November 2012 and 2021. The studies should contain educational programs to evaluate the impact on the infant's nutritional indicators in children under 5 years (food consumption, anthropometry and/or knowledge of nutrition in caretakers). Results: A total of 20 articles were selected, of which 53% evaluated infant's food consumption, 82% anthropometric measurements and 30% nutritional knowledge. In general, nutritional education programs are accredited with some significant improvements in food and nutrient consumption, knowledge and dietary practices in complementary feeding, but only those studies that implemented strategies in agriculture, educational workshops and supplementation obtained reductions in chronic malnutrition figures. Limitations: There is high heterogeneity in the articles included, since the intervention programs have different approaches. Conclusions: Programs that implemented actions of national agriculture or nutritional supplementation reap the greatest benefits in curbing infant malnutrition.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Aranzana, M. J.; Arus, P.; Howad, W.; Iglesias, I.; +4 Authors
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    Authors: Carrillo, E.; Matese, A.; Rousseau, J.; Tisseyre, B.;

    The wine industry needs to know the yield of each vine field precisely to optimize quality management and limit the costs of harvest operations. Yield estimation is usually based on random vine sampling. The resulting estimations are often not precise enough because of the high variability within vineyard fields. The aim of the work was to study the relevance of using NDVI-based sampling strategies to improve estimation of mean field yield. The study was conducted in 9 non-irrigated vine fields located in southern France. For each field, NDVI was derived from multi-spectral airborne images. The variables which define the yield: (berry weight at harvest (BWh), bunch number per vine (BuN) and berry number per bunch (BN)) were measured on a regular grid. This data-base allowed for five different sampling schemes to be tested. These sampling methods were mainly based on a stratification of NDVI values, they differed in the way as to whether NDVI was used as ancillary information to design a sampling strategy for BuN, BN, BW or for all yield variables together. Results showed a significant linear relationship between NDVI and BW, indicating the interest of using NDVI information to optimize sampling for this parameter. However this result is mitigated by the low incidence of BW in the yield variance (4 %) within the field. Other yield components, BuN and BN explain a higher percentage of yield variance (60% and 11 % respectively) but did not show any clear relationship with NDVI. A large difference was observed between fields, which justifies testing the optimized sampling methods on all of them and for all yield variables. On average, sampling methods based on NDVI systematically improved vine field yield estimates by at least 5-7 % compared to the random method. Depending on the fields, error improvement ranged from -2 % to 15 %. Based on these results, the practical recommendation is to consider a two-step sampling method where BuN is randomly sampled and BW is sampled according to the NDVI values.

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    CemOA
    2015
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      CemOA
      2015
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    Authors: Lauga, B.; Balvay, B.; Topart, L.; Leclaire, J.; +5 Authors

    With the emergence of digital technologies, farms become a relevant source of data to meet the challenges of multi-performance agriculture. Beyond the services provided, access to farmers' data depends on a clear understanding of their use, which must be done in a transparent way. Several codes of conduct at a national or international level push for a voluntary commitment to respect some good practices in the use of agricultural data. To provide a tool and answer farmer's questions on the control of their data and the transparency of the data processing, the partners of the MULTIPASS project, have imagined an interoperable ecosystem of farmer consents management, protecting farmers from no consented uses of their data. Farmers' expectations of such an ecosystem have been expressed during workshops. They want to better identify existing data flows, including actors, data processes, and data clusters. Based on the farmers' expectations, the MULTIPASS project stakeholders have proposed the architecture of an ecosystem integrating two consent management tools as "pilots". This ecosystem should take in charge the interoperability between each consent management tools or with future tools. This solution is based on a shared typology of data and data processes as well as on the specifications of the consent message content. All these elements should be easily accessible to meet the interoperability need of the ecosystem. It is also based on a router, which provides unified access to consent management tools (using API). In particular, it provides the farmer (beneficiary) with an exhaustive view of his/her consents (which can be distributed on several consent management systems), meeting farmers' expectations for transparency. It is also the point where a data provider can check whether the consent required to provide data exists, without needing to know which consent management system is concerned. In this project, the stakeholders want to demonstrate to agricultural professional organizations the benefits and feasibility of a consent management ecosystem. By strengthening the confidence of farmers to share data, the project will allow the emergence of new knowledge and new services.

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    CemOA
    2019
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      CemOA
      2019
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    Authors: Zribi, M.; Muddu, S.; Bousbih, S.; Al Bitar, A.; +3 Authors

    The main objective of this study is to analyze the potential use of L-band radar data for the estimation of soil moisture over tropical agricultural areas under dense vegetation cover conditions. Ten radar images were acquired using the Phased Array Synthetic Aperture Radar/Advanced Land Observing Satellite (PALSAR/ALOS)-2 sensor over the Berambadi watershed (south India), between June and October of 2018. Simultaneous ground measurements of soil moisture, soil roughness, and leaf area index (LAI) were also recorded. The sensitivity of PALSAR observations to variations in soil moisture has been reported by several authors, and is confirmed in the present study, even for the case of very dense crops. The radar signals are simulated using five different radar backscattering models (physical and semi-empirical), over bare soil, and over areas with various types of crop cover (turmeric, marigold, and sorghum). When the semi-empirical water cloud model (WCM) is parameterized as a function of the LAI, to account for the vegetation's contribution to the backscattered signal, it can provide relatively accurate estimations of soil moisture in turmeric and marigold fields, but has certain limitations when applied to sorghum fields. Observed limitations highlight the need to expand the analysis beyond the LAI by including additional vegetation parameters in order to take into account volume scattering in the L-band backscattered radar signal for accurate soil moisture estimation.

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    CemOA
    2019
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      CemOA
      2019
      Data sources: CemOA
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    Authors: Ansaldi, E.; Bertrand, N.;

    / Le témoignage recueilli ici par Nathalie Bertrand auprès d'Emmanuel Ansaldi, adjoint scientifique à la Direction générale de l'agriculture de l'État de Genève, nous présente le concept de ferme urbaine et son expérimentation au sein d'un quartier genevois, une façon innovante de réconcilier ville et agriculture.

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    CemOA
    2016
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      CemOA
      2016
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    Authors: Hoegstrom, E.; Trofaier, A.M.; Gouttevin, I.; Bartsch, A.;

    Knowledge of surface hydrology is essential for many applications, including studies that aim to understand permafrost response to changing climate and the associated feedback mechanisms. Advanced remote sensing techniques make it possible to retrieve a range of land-surface variables, including radar retrieved soil moisture (SSM). It has been pointed out before that soil moisture retrieval from satellite data can be challenging at high latitudes, which correspond to remote areas where ground data are scarce and the applicability of satellite data of this type is essential. This study investigates backscatter variability other than associated with changing soil moisture in order to examine the possible impact on soil moisture retrieval. It focuses on issues specific to SSM retrieval in the Arctic, notably variations related to tundra lakes. ENVISAT Advanced Synthetic Aperture Radar (ASAR) Wide Swath (WS, 120 m) data are used to understand and quantify impacts on Metop (AAdvanced Scatterometer (ASCAT, 25 km) soil moisture retrieval during the snow free period. Sites of interest are chosen according to ASAR WS availability, high or low agreement between output from the land surface model ORCHIDEE and ASCAT derived SSM. Backscatter variations are analyzed with respect to the ASCAT footprint area. It can be shown that the low model agreement is related to water fraction in most cases. No difference could be detected between periods with floating ice (in snow off situation) and ice free periods at the chosen sites. The mean footprint backscatter is however impacted by partial short term surface roughness change. The water fraction correlates with backscatter deviations (relative to a smooth water surface reference image) within the ASCAT footprint areas . Backscatter deviations of up to 5 dB can occur in areas with less than 50% water fraction and an assumed soil moisture related range (sensitivity) of 7 dB in the ASCAT data. The sensitivity is also positively correlated with water fraction in regions with low land-surface model agreement (R = 0.68). A precise quantification of the impact on soil moisture retrieval would, however, need to consider actual soil moisture changes and sensor differences. The study demonstrates that the usage of higher spatial resolution data than currently available for SSM is required in lowland permafrost environments. / La connaissance de l'hydrologie de surface est essentielle mais difficile aux hautes latitudes du fait de la rareté des observations. Les observations satellites offrent le moyen d'y pallier, mais encore faut-il s'assurer de la validité de ces approches dans ces régions. Par l'intermédiaire de deux jeux de données satellite de résolutions différentes, on étudie ici la sensibilité du signal de micro-ondes actives rétrodiffusées à des facteurs autres que l'humidité superficielle des sols. Les zones d'étude ont été ciblées pour correspondre à des régions où les modèles hydrologiques divergent des observations. Dans la plupart de ces zones, l'utilisation d'un produit satellite à fine résolution met en évidence l'impact des lacs sur le signal micro-onde observé, et utilisé pour inférer l'humidité superficielle dans les produits satellites. Il est donc nécessaire d'apporter des corrections aux produits satellitaires dans les régions où la forte concentration en étendues d'eau libre et l'occurrence de vents violents en limitent la validité pour l'hydrologie de surface.

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    CemOA
    2014
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      CemOA
      2014
      Data sources: CemOA
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    Authors: Lucie, X.; Durrieu, S.; Jolly, A.; Labbé, S.; +1 Authors

    Renewed interest in photogrammetry and recent developments of unmanned aerial vehicles (UAVs) open new possibilities in the field of forest planning and management. As the assessment of forest dendrometric parameters is usually a costly task, involving intensive field measurements, we were interested to evaluate how the use of accurate photogrammetric digital surface models (DSMs) could facilitate these estimations. Based on DSMs, dendrometric models were calibrated using circular plots (700 m²) measured in an area of interest (AOI). UAVs flight above these AOI were acquired at very high resolution (VHRI) giving images with a spatial resolution of 2.5 cm, as compared to 25,0 cm for the standard IGN aerial images. We were also interested in assessing the impact of DSMs resolution. For this purpose, DSMs were computed at the original resolution as well as degraded resolutions from 5.0 cm to 40.0 cm. Each DSM's elevation was then compared to manual stereoscopic measurements realized on the VHRI. By subtracting a digital terrain model (DTM) from each DSM, we derived canopy height models (CHMs). From these CHMs, we observed that plot height distributions were interesting indicators of forest structures and we were also able to established dominant height (H0) models. These results underline the interest of new photogrammetric approaches, and the importance of spatial resolutions, to improve forest planning and management. / Le renouveau de la photogrammétrie et le développement de moyens aéroportés légers tels que les drones permettent de nouvelles applications dans le domaine de l'aménagement et la gestion forestière. L'estimation de variables forestières se fait dans le cadre de processus longs et fastidieux sur le terrain. Dans l'idée d'automatiser l'extraction de variables dendrométriques, nous mettons en place une méthodologie pour générer les modèles numériques de surfaces (MNS) par photogrammétrie multi-vues les plus précis possibles compte-tenu des limites imposées par les algorithmes de calcul. Nous utilisons pour ce faire la suite photogrammétrique libre de l'IGN MicMac. Notre zone d'étude se situe dans la forêt domaniale du Ventouret (région PACA) qui est une forêt mixte de moyenne montagne. Pour qualifier la précision de ces MNS, nous disposons de relevés dendrométriques sur des placettes d'analyse de 700 m² représentatives des peuplements les plus fréquents à l'échelle de la forêt. Ces zones ont été survolées par un drone multi-rotors équipé d'un appareil photo numérique à focale fixe. Les clichés ont une résolution spatiale de 2,5 cm contre 25 cm pour les prises de vues standardisées de l'IGN. Afin d'étudier l'impact de la résolution sur la qualité des MNS générés, nous dégradons la résolution des prises de vues du drone jusqu'à obtenir un pixel terrain d'une quarantaine de centimètres. Nous comparons ensuite les altitudes de chaque MNS avec des pointés stéréoscopiques de référence réalisés manuellement sur les prises de vues originales. En soustrayant à chaque MNS un modèle numérique de terrain (MNT) LiDAR, nous calculons ensuite un modèle de hauteur de couvert (MHC). L'étude de la distribution des hauteurs sur chaque placette et d'un modèle statistique de hauteur dominante (H0) nous permettent de conclure sur l'intérêt de l'approche photogrammétrique et de déterminer des résolutions spatiales optimales pour appuyer le travail des gestionnaires et aménagistes forestiers.

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    CemOA
    2017
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      CemOA
      2017
      Data sources: CemOA
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    Authors: Lauvernet, C.; Le Dimet, F.X.; Baret, F.;

    Information contained in time series of image data should be explicitly exploited in data assimilation methods instead of operating over single pixels. This study proposes to adapt a variational data assimilation method of LAI (Leaf Area Index) images in a crop model. The method assumes that the parameters are governed spatially at some levels (cultivar, field, and pixel), while some of them are assumed to be stable temporally over the whole image. Such constraints help at reducing the size of the inverse problem, transforming the usual assimilation scheme into simultaneous pixel patterns. DA with constraints is applied to the semi-mechanistic model BONSAÏ and evaluated by twin experiments both on the quality of LAI prediction and on parameter estimates. Sensitivity to the observations frequency is also evaluated. The constraints improve the method's robustness and estimates when the number of observations available decreases, compared to the conventional method. / En assimilation de données, une série temporelle de données-image devrait être traitée explicitement pour en extraire toute l'information. Cette étude propose d'adapter une méthode d'assimilation variationnelle d'images de LAI (Leaf Area Index) dans un modèle de végétation, afin d'intégrer l'information liée à l'aspect spatial des données. Pour cela, on considère que les paramètres sont contrôlés spatialement à certains niveaux: variété, parcelle, pixel, ou stables temporellement sur l'ensemble de l'image. Ces contraintes réduisent la taille du problème inverse, en transformant le schéma d'assimilation habituel à des ensembles de pixels simultanés. La méthode est appliquée sur le modèle semi-mécaniste BONSAÏ et évaluée sur la qualité de prédiction du LAI et d'estimation des paramètres d'entrée par expériences jumelles, ainsi que sur sa sensibilité à la fréquence des observations. Les contraintes spatio-temporelles améliorent la robustesse et les estimations lorsque la quantité d'observations disponibles diminue, par rapport à la méthode classique, où chaque pixel.date est considéré indépendamment des autres.

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    CemOA
    2014
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      CemOA
      2014
      Data sources: CemOA
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    Authors: Martí-Cardona, B.; Arbat-Bofill, M.; Prats-Rodríguez, J.; Pipia, L.;

    ASTER and Landsat images were used for mapping the water surface temperature in the Sobrón, Mequinenza and Ribarroja reservoirs in the Ebro River, Spain. The spatially continuous information in these maps reveals the impact of the reservoir on the river natural thermal gradient in two different periods of the year. It also evidences the thermal impact intensity and extent of the refrigeration flow discharge from a nuclear power plant located on the river bank. The high spatial resolution images of the Ribarroja reservoir, acquired by the airborne hyperspectral TASI sensor, show spatial patterns which complemented the in-situ point measurements and contributed valuable data for validating the three-dimensional thermohydrodynamic model of the reservoir.

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    CemOA
    2016
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      CemOA
      2016
      Data sources: CemOA
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    Authors: Jardi, Cristina; Casanova, Byron David; Arija, Victoria;

    Background: Child malnutrition is a major epidemiological problem in developing countries, especially in African countries. Nutrition education for mothers can alleviate this malnutrition in their young children. The objective of this study was to make a systematic review to assess the effect of intervention programs in nutrition education for African mothers on the nutritional status of their infants. Methods: A bibliographic search was carried out in the PubMed database for clinical trials between November 2012 and 2021. The studies should contain educational programs to evaluate the impact on the infant's nutritional indicators in children under 5 years (food consumption, anthropometry and/or knowledge of nutrition in caretakers). Results: A total of 20 articles were selected, of which 53% evaluated infant's food consumption, 82% anthropometric measurements and 30% nutritional knowledge. In general, nutritional education programs are accredited with some significant improvements in food and nutrient consumption, knowledge and dietary practices in complementary feeding, but only those studies that implemented strategies in agriculture, educational workshops and supplementation obtained reductions in chronic malnutrition figures. Limitations: There is high heterogeneity in the articles included, since the intervention programs have different approaches. Conclusions: Programs that implemented actions of national agriculture or nutritional supplementation reap the greatest benefits in curbing infant malnutrition.

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