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137 Research products, page 1 of 14

  • Rural Digital Europe
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  • Open Access French
    Authors: 
    Navez, Brigitte; Cottet, Valentine; Tisiot, Raphael; Causse, Mathilde; Fontanet, Lilian;
    Publisher: HAL CCSD
    Country: France
    Project: EC | TRADITOM (634561)
  • Authors: 
    Maria Adamo; Cristina Tarantino; Richard Lucas; Valeria Tomaselli; A. Sigismondi; Paola Mairota; Palma Blonda;
    Publisher: IEEE
    Country: Italy
    Project: EC | BIO_SOS (263435)

    The aim of this paper is the development of an algorithm, based on expert knowledge, for the Land cover classification of an Italian Grassland Area. To accomplish this task, a dataset composed by 4 Worldiew-2 (WV-2) images, at 2 m of spatial resolution, has been considered. Despite their poor spectral resolution, Very High spatial Resolution (VHR) data allow the identification of individual objects by means of the information in the relationship between adjacent pixels, including texture and shape. For this reason a Geographic Object-Based Image Analysis (GEOBIA) approach consisting in a rule set based on the elicitation of expert rules concerning phenology, spatial features and agricultural practices in conjugation with prior spectral knowledge, has been used. The study area, of almost 500 kmq, is located in Southern Italy (Puglia Region) within the Natura 2000 "Alta Murgia" site (SCI/SPA IT9120007, according to Habitat Directive 92/43 and Bird Directive 147/2009), partly designated as a National Park as from 2004. Semi-natural dry grasslands cover almost 24% of the total area of the site which represent one of the most important areas for the conservation of this kind of ecosystems in Europe.

  • Authors: 
    Cristina Tarantino; Palma Blonda; Maria Adamo;
    Publisher: IEEE
    Country: Italy
    Project: EC | BIO_SOS (263435)

    This paper focuses on the application of a semi-automatic unsupervised change detection algorithm called Cross Correlation Analysis (CCA) to the detection of (semi-) natural grasslands changes at Very High Resolution (VHR). A reference validated Land Cover/Land Use map at time T1 and only one satellite image at time T2, with T2>T1, are required to detect changes occurred at T2 in the selected target class. This approach offers the possibility to reduce the costs of change detection when the acquisition of multi-seasonal VHR images at time T2 for supervised change detection is too expensive or when no archive VHR image is available in the past for unsupervised comparison between T1 and T2 images. A summer Worldview-2 image for a Natura 2000 test site was considered and the results appear encouraging.

  • Publication . Conference object . Article . 2018
    Open Access
    Authors: 
    Christou; M.; Alexopoulou; E.; Zanetti; F.; Krzyżaniak; M.; Stolarski; M.J.; +4 more
    Country: Italy
    Project: EC | COSMOS (635405), EC | BECOOL (744821)

    Camelina sativa (L.) Crantz, is an annual plant belonging to the Brassicaceae family, as rapeseed. It is native to central Europe where it was widely cultivated until the 1940s. However, only recently it gained the interest of the energy and bio-based industries as a low-cost non-food crop for aviation biofuel production and the oleochemical industry, due to its high oil content (up to 40%) and suitable oil profile. Field trials are performed at different locations in Europe, to study the effect of sowing dates on camelina seed and oil yields, in three different environments, the South (Greece) and North Mediterranean (Italy) climatic zones as well as the Continental zone (Poland). The activity was organized in two separate experiments: autumn sowing and spring sowing with two camelina varieties: Midas, a spring variety supplied by Linnaeus Plant Science (Canada), and Luna, a commercial winter variety from Poland. Total biomass ranged between 2.8 – 9.8 Mg DM ha-1, depending on the site and sowing seasons, with the highest figures in Italy and the lowest in Greece. Seed yields ranged from 0.56 – 2.11 Mg DM ha-1, depending on the site and sowing seasons, with the highest figures in the mild Mediterranean environments. Likewise, oil content ranged between 36.50 – 40.55%. Winter camelina reached almost double the seed yield compared to the spring crop for the same spring variety, Midas. Autumn sowing was found more productive than spring sowing for seed yields and oil content both in Greece and Italy, while in Poland, only real winter camelina varieties survive winter. Proceedings of the 26th European Biomass Conference and Exhibition, 14-17 May 2018, Copenhagen, Denmark, pp. 133-135

  • Open Access English
    Authors: 
    Imane Mansir; Lhoussaine Bouchaou; Redouane Choukr-Allah; B. Chebli; M. El Otmani;
    Publisher: Springer International Publishing
    Project: EC | MADFORWATER (688320)

    The Souss-Massa region, located in the south-west of Morocco, is among the regions that suffer the most from water stress. It’s characterized by an arid climate with low and irregular rainfall in time and space. Consequently, there’s a considerable rainfall deficit which negatively affects the water resources in the region. Moreover, the economy of the region is mainly based on agriculture which consumes more than 90% of the region's total water resources. As a result, surface water resources have become increasingly insufficient with regard to the demand. Use of groundwater resources has always been a secular practice in the area. In recent years, groundwater overexploitation has exceeded the renewable resources and has led to the depletion of the different aquifers of Souss-Massa region. In addition, high population growth, degradation of water quality, expansion of agricultural and industrial activity negatively affected water availability. Furthermore, a significant proportion of raw industrial and urban water rejections are released directly into nature, and excessive use of pesticides in agriculture and marine intrusion cause pollution and salinity of the groundwater. This study focuses on the vulnerability of groundwater resources and alternative solutions for agricultural development. This thematic allows the use of unconventional waters to test new techniques for the treatment and recycling of wastewater. Treated wastewater will be reused for irrigation in the Souss-Massa region, in order to reduce the vulnerability of water resources scarcity, to improve economic growth, to promote sustainable use of treated wastewater in agriculture and to produce good quality agricultural products.

  • Closed Access English
    Authors: 
    Germer; S.; Alexopoulou; E.; Concha; I.V.; Grundmann; P.; van Haren; R.; +16 more
    Publisher: ETA-Florence Renewable Energies
    Country: Italy
    Project: EC | BECOOL (744821)

    The biomass demand for the use as both renewable energy source and raw material for the biotechnology industry is increasing. Simultaneously, the supply of biomass is requested to become more cost-competitive. Innovative solutions for cost-effective biomass production should also avoid indirect land use changes and direct negative environmental effects. The main aim of this study is to identify the most promising innovative lignocellulosic cropping systems regarding environmental sustainability as well as social acceptance for different cost scenarios and different regions in Europe. To gather innovative cropping knowledge from around Europe ADVANCEFUEL organized a workshop. Participating Horizon 2020 projects presenting innovative approaches on lignocellulosic cropping systems included: FORBIO, MAGIC, BECOOL, LIBBIO, GRACE, and SEEMLA. Data was collected from field studies of the participating projects prior to the workshop and later presented in an aggregated way as a basis for discussions. This approach incorporates the knowledge gained in over 60 study cases conducted in 12 different countries. Under these study cases, 16 different lignocellulosic crops were covered. This field based knowledge can be used to validate spatial assessments of sustainable biomass production potentials in Europe. Proceedings of the 27th European Biomass Conference and Exhibition, 27-30 May 2019, Lisbon, Portugal, pp. 84-89

  • Publication . Conference object . 2018
    Authors: 
    Yun, Bruno; Croitoru, Madalina; Bisquert, Pierre;
    Project: EC | NoAW (688338)
  • Authors: 
    Cristina Tarantino; Palma Blonda; Maria Adamo;
    Publisher: IEEE
    Country: Italy
    Project: EC | BIO_SOS (263435)

    The paper focuses on the application of the Cross-Correlation Analysis (CCA) technique for quantifying changes of semi-natural grasslands to artificial structures at different spatial resolutions (grain) on a Mediterranean Natura 2000 site as a further test case of the results reported in [1]. In that work the CCA was applied to detect specific changes associated with agricultural intensification and fires. A semi-natural grasslands layer extracted from an existing Land Cover/Land Use map (1:5000, time T1) was considered as input to the CCA jointly with a Very High Resolution (VHR) WorldView-2 satellite image (2 meters spatial resolution, time T2) and with a High Resolution Landsat 8 OLS satellite image (30 meters spatial resolution, time T2), with T2 > T1, respectively, for the fine and the coarse scale analysis. The results were compared to those obtained by applying a traditional Post Classification Comparison technique to the same reference at time T1 map and an updated at time T2 map obtained by a knowledge driven classification of four multi-seasonal Worldview-2 input images, according to [1]. Also in this case the CCA technique results encouraging offering the possibility to reduce the costs of change detection when the acquisition of multi-seasonal VHR images at time T2 is too expensive or when no archive VHR image is available in the past for comparison between at time T1 and T2 images. The areas of change detected at VHR and HR were quite similar for the specific transition analyzed with larger error values in HR change images.

  • English
    Authors: 
    Yun, Bruno; Vesic, Srdjan; Croitoru, Madalina;
    Publisher: HAL CCSD
    Country: France
    Project: EC | NoAW (688338), ANR | AMANDE (ANR-13-BS02-0004)

    International audience; To address the needs of the EU NoAW project, in this paper we solve the problem of efficiently generating the argumentation graphs from knowledge bases expressed using existential rules. For the knowledge bases without rules, we provide a methodology that allows to optimise the generation of argumentation graphs. For knowledge bases with rules, we show how to filter out a large number of arguments and reduce the number of attacks.

  • Publication . Article . Conference object . Preprint . 2019
    Open Access
    Authors: 
    Georgios Mylonas; Dimitrios Amaxilatis; Lidia Pocero; Iraklis Markelis; Joerg Hofstaetter; Pavlos Koulouris;
    Project: EC | GAIA (696029)

    The use of maker community tools and IoT technologies inside classrooms is spreading in an increasing number of education and science fields. GAIA is a European research project focused on achieving behavior change for sustainability and energy awareness in schools. In this work, we report on how a large IoT deployment in a number of educational buildings and real-world data from this infrastructure, are utilized to support a "maker" lab kit activity inside the classroom, together with a serious game. We also provide some insights to the integration of these activities in the school curriculum, along with a discussion on our feedback so far from a series of workshop activities in a number of schools. Our initial results show strong acceptance by the school community. Comment: This is the submitted preprint version of a paper published in the FabLearn Europe'18 conference

search
Include:
The following results are related to Rural Digital Europe. Are you interested to view more results? Visit OpenAIRE - Explore.
137 Research products, page 1 of 14
  • Open Access French
    Authors: 
    Navez, Brigitte; Cottet, Valentine; Tisiot, Raphael; Causse, Mathilde; Fontanet, Lilian;
    Publisher: HAL CCSD
    Country: France
    Project: EC | TRADITOM (634561)
  • Authors: 
    Maria Adamo; Cristina Tarantino; Richard Lucas; Valeria Tomaselli; A. Sigismondi; Paola Mairota; Palma Blonda;
    Publisher: IEEE
    Country: Italy
    Project: EC | BIO_SOS (263435)

    The aim of this paper is the development of an algorithm, based on expert knowledge, for the Land cover classification of an Italian Grassland Area. To accomplish this task, a dataset composed by 4 Worldiew-2 (WV-2) images, at 2 m of spatial resolution, has been considered. Despite their poor spectral resolution, Very High spatial Resolution (VHR) data allow the identification of individual objects by means of the information in the relationship between adjacent pixels, including texture and shape. For this reason a Geographic Object-Based Image Analysis (GEOBIA) approach consisting in a rule set based on the elicitation of expert rules concerning phenology, spatial features and agricultural practices in conjugation with prior spectral knowledge, has been used. The study area, of almost 500 kmq, is located in Southern Italy (Puglia Region) within the Natura 2000 "Alta Murgia" site (SCI/SPA IT9120007, according to Habitat Directive 92/43 and Bird Directive 147/2009), partly designated as a National Park as from 2004. Semi-natural dry grasslands cover almost 24% of the total area of the site which represent one of the most important areas for the conservation of this kind of ecosystems in Europe.

  • Authors: 
    Cristina Tarantino; Palma Blonda; Maria Adamo;
    Publisher: IEEE
    Country: Italy
    Project: EC | BIO_SOS (263435)

    This paper focuses on the application of a semi-automatic unsupervised change detection algorithm called Cross Correlation Analysis (CCA) to the detection of (semi-) natural grasslands changes at Very High Resolution (VHR). A reference validated Land Cover/Land Use map at time T1 and only one satellite image at time T2, with T2>T1, are required to detect changes occurred at T2 in the selected target class. This approach offers the possibility to reduce the costs of change detection when the acquisition of multi-seasonal VHR images at time T2 for supervised change detection is too expensive or when no archive VHR image is available in the past for unsupervised comparison between T1 and T2 images. A summer Worldview-2 image for a Natura 2000 test site was considered and the results appear encouraging.

  • Publication . Conference object . Article . 2018
    Open Access
    Authors: 
    Christou; M.; Alexopoulou; E.; Zanetti; F.; Krzyżaniak; M.; Stolarski; M.J.; +4 more
    Country: Italy
    Project: EC | COSMOS (635405), EC | BECOOL (744821)

    Camelina sativa (L.) Crantz, is an annual plant belonging to the Brassicaceae family, as rapeseed. It is native to central Europe where it was widely cultivated until the 1940s. However, only recently it gained the interest of the energy and bio-based industries as a low-cost non-food crop for aviation biofuel production and the oleochemical industry, due to its high oil content (up to 40%) and suitable oil profile. Field trials are performed at different locations in Europe, to study the effect of sowing dates on camelina seed and oil yields, in three different environments, the South (Greece) and North Mediterranean (Italy) climatic zones as well as the Continental zone (Poland). The activity was organized in two separate experiments: autumn sowing and spring sowing with two camelina varieties: Midas, a spring variety supplied by Linnaeus Plant Science (Canada), and Luna, a commercial winter variety from Poland. Total biomass ranged between 2.8 – 9.8 Mg DM ha-1, depending on the site and sowing seasons, with the highest figures in Italy and the lowest in Greece. Seed yields ranged from 0.56 – 2.11 Mg DM ha-1, depending on the site and sowing seasons, with the highest figures in the mild Mediterranean environments. Likewise, oil content ranged between 36.50 – 40.55%. Winter camelina reached almost double the seed yield compared to the spring crop for the same spring variety, Midas. Autumn sowing was found more productive than spring sowing for seed yields and oil content both in Greece and Italy, while in Poland, only real winter camelina varieties survive winter. Proceedings of the 26th European Biomass Conference and Exhibition, 14-17 May 2018, Copenhagen, Denmark, pp. 133-135

  • Open Access English
    Authors: 
    Imane Mansir; Lhoussaine Bouchaou; Redouane Choukr-Allah; B. Chebli; M. El Otmani;
    Publisher: Springer International Publishing
    Project: EC | MADFORWATER (688320)

    The Souss-Massa region, located in the south-west of Morocco, is among the regions that suffer the most from water stress. It’s characterized by an arid climate with low and irregular rainfall in time and space. Consequently, there’s a considerable rainfall deficit which negatively affects the water resources in the region. Moreover, the economy of the region is mainly based on agriculture which consumes more than 90% of the region's total water resources. As a result, surface water resources have become increasingly insufficient with regard to the demand. Use of groundwater resources has always been a secular practice in the area. In recent years, groundwater overexploitation has exceeded the renewable resources and has led to the depletion of the different aquifers of Souss-Massa region. In addition, high population growth, degradation of water quality, expansion of agricultural and industrial activity negatively affected water availability. Furthermore, a significant proportion of raw industrial and urban water rejections are released directly into nature, and excessive use of pesticides in agriculture and marine intrusion cause pollution and salinity of the groundwater. This study focuses on the vulnerability of groundwater resources and alternative solutions for agricultural development. This thematic allows the use of unconventional waters to test new techniques for the treatment and recycling of wastewater. Treated wastewater will be reused for irrigation in the Souss-Massa region, in order to reduce the vulnerability of water resources scarcity, to improve economic growth, to promote sustainable use of treated wastewater in agriculture and to produce good quality agricultural products.

  • Closed Access English
    Authors: 
    Germer; S.; Alexopoulou; E.; Concha; I.V.; Grundmann; P.; van Haren; R.; +16 more
    Publisher: ETA-Florence Renewable Energies
    Country: Italy
    Project: EC | BECOOL (744821)

    The biomass demand for the use as both renewable energy source and raw material for the biotechnology industry is increasing. Simultaneously, the supply of biomass is requested to become more cost-competitive. Innovative solutions for cost-effective biomass production should also avoid indirect land use changes and direct negative environmental effects. The main aim of this study is to identify the most promising innovative lignocellulosic cropping systems regarding environmental sustainability as well as social acceptance for different cost scenarios and different regions in Europe. To gather innovative cropping knowledge from around Europe ADVANCEFUEL organized a workshop. Participating Horizon 2020 projects presenting innovative approaches on lignocellulosic cropping systems included: FORBIO, MAGIC, BECOOL, LIBBIO, GRACE, and SEEMLA. Data was collected from field studies of the participating projects prior to the workshop and later presented in an aggregated way as a basis for discussions. This approach incorporates the knowledge gained in over 60 study cases conducted in 12 different countries. Under these study cases, 16 different lignocellulosic crops were covered. This field based knowledge can be used to validate spatial assessments of sustainable biomass production potentials in Europe. Proceedings of the 27th European Biomass Conference and Exhibition, 27-30 May 2019, Lisbon, Portugal, pp. 84-89

  • Publication . Conference object . 2018
    Authors: 
    Yun, Bruno; Croitoru, Madalina; Bisquert, Pierre;
    Project: EC | NoAW (688338)
  • Authors: 
    Cristina Tarantino; Palma Blonda; Maria Adamo;
    Publisher: IEEE
    Country: Italy
    Project: EC | BIO_SOS (263435)

    The paper focuses on the application of the Cross-Correlation Analysis (CCA) technique for quantifying changes of semi-natural grasslands to artificial structures at different spatial resolutions (grain) on a Mediterranean Natura 2000 site as a further test case of the results reported in [1]. In that work the CCA was applied to detect specific changes associated with agricultural intensification and fires. A semi-natural grasslands layer extracted from an existing Land Cover/Land Use map (1:5000, time T1) was considered as input to the CCA jointly with a Very High Resolution (VHR) WorldView-2 satellite image (2 meters spatial resolution, time T2) and with a High Resolution Landsat 8 OLS satellite image (30 meters spatial resolution, time T2), with T2 > T1, respectively, for the fine and the coarse scale analysis. The results were compared to those obtained by applying a traditional Post Classification Comparison technique to the same reference at time T1 map and an updated at time T2 map obtained by a knowledge driven classification of four multi-seasonal Worldview-2 input images, according to [1]. Also in this case the CCA technique results encouraging offering the possibility to reduce the costs of change detection when the acquisition of multi-seasonal VHR images at time T2 is too expensive or when no archive VHR image is available in the past for comparison between at time T1 and T2 images. The areas of change detected at VHR and HR were quite similar for the specific transition analyzed with larger error values in HR change images.

  • English
    Authors: 
    Yun, Bruno; Vesic, Srdjan; Croitoru, Madalina;
    Publisher: HAL CCSD
    Country: France
    Project: EC | NoAW (688338), ANR | AMANDE (ANR-13-BS02-0004)

    International audience; To address the needs of the EU NoAW project, in this paper we solve the problem of efficiently generating the argumentation graphs from knowledge bases expressed using existential rules. For the knowledge bases without rules, we provide a methodology that allows to optimise the generation of argumentation graphs. For knowledge bases with rules, we show how to filter out a large number of arguments and reduce the number of attacks.

  • Publication . Article . Conference object . Preprint . 2019
    Open Access
    Authors: 
    Georgios Mylonas; Dimitrios Amaxilatis; Lidia Pocero; Iraklis Markelis; Joerg Hofstaetter; Pavlos Koulouris;
    Project: EC | GAIA (696029)

    The use of maker community tools and IoT technologies inside classrooms is spreading in an increasing number of education and science fields. GAIA is a European research project focused on achieving behavior change for sustainability and energy awareness in schools. In this work, we report on how a large IoT deployment in a number of educational buildings and real-world data from this infrastructure, are utilized to support a "maker" lab kit activity inside the classroom, together with a serious game. We also provide some insights to the integration of these activities in the school curriculum, along with a discussion on our feedback so far from a series of workshop activities in a number of schools. Our initial results show strong acceptance by the school community. Comment: This is the submitted preprint version of a paper published in the FabLearn Europe'18 conference