Land Training 2019 > Posters


Martina Aiello, Politecnico di Milano, IT A satellite-based dynamic model to estimate potential soil erosion in the Italian Alps and its projection under land use/land cover and climate changes scenarios
Fares Al hasan, TU Delft University, NL Detection of vegetation droughts and their propagation over continents
Sadiq Abdalhassan Mhassar Al-Maliki, Szent István University, HU Data Integration for Modelling of Environmental Impact of Using Brackish Water for Wetlands Restoration
Zane Atstaja, Rural Support Service of the Republic of Latvia, LV Burned area detection using Sentinel-2 data
Saiful Azim, University of Copenhagen, DK A Fast and Reliable Method to Estimate the Spatial Accuracy of On/Off Patch Spraying Based on Prepared Weed Maps
Paul Baby, Université Toulouse 3 - Paul Sabatier, FR Mapping of irrigated surfaces dynamics in Haouz plain
Christian Bauer, Landwirtschaftliches Technologiezentrum Augustenberg, DE Open Satellite Data for open services for arable land management and precision farming
Bagher Bayat, IBG-3 Forschungszentrum Jülich, DE Linking Remote Sensing Observations to SDG Indicators via Essential Variables: Water Stress Detection Workflow
Tim Beale, CAB International, UK From the space to the ground: tackling invasive species impacting agriculture combining EO and modelling
Kasper Bonte, KU Leuven, BE Mapping rice growth dynamics in Madagascar using Sentinel-1 and Sentinel-2 satellite data
Fabio Castaldi, Flanders Institute for Agricultural and Fisheries Research, BE A comparison between Sentinel 2 and airborne hyperspectral data for soil organic carbon prediction in croplands.
Liliana Carolina Castillo Villamor, Aberystwyth University, UK Use of optical satellite imagery and histogram analysis to monitor in-field crop anomalies
Karan Choudhary, Mahalanobis National Crop Forecast Centre, IN Operational use of Satellite Remote Sensing data for Wheat Crop Acreage estimation in India under FASAL project
Olimpia Copacenaru, University of Bucharest, RO Spatial assessment of land fragmentation/land consolidation trends and their impact on farm productivity in Post-Communist Romania
Alberto Crema, University of Tuscia, IT Use of remote sensing data for crop nutritional status assessment and for nitrogen site specific fertilization support
Mauricio Cruz Mantoani, University College Dublin, IE The PHENOGRASS Project: connecting people, satellites and phenology of ryegrass for a carbon resilient future in Ireland
Trinidad Del Río, University of Twente, NL Remote sensing to support the evaluation of ecological restoration interventions in an arid rural landscape
Maninder Singh Dhillon, University of Würzburg, DE Comparing the performance of crop growth models using synthetic remote sensing data at DEMMIN, Germany
Maria Dimou, Joint Research Center of European Commission, IT Development of sub-national crop calendars for 80 countries with high risk of food insecurity based on national level FAO crop calendars and remote sensing derived phenology
Abdoulaye Diouf, Université Dan Dicko Dankoulodo, NE Determinants of a semi-arid landscape dynamics: case of two rural communes (Chadakori and Saé Saboua) in Maradi region, Niger Republic
Sunil Kumar Dubey, Mahalanobis National Crop Forecast Centre, IN Remote Sensing for Crop Insurance in India
Lachezar Hristov Filchev, SRTI-BAS, BG Mapping Main Crop Types in Bulgaria using Optical and Radar Sentinel Data
Elizabeth Finch, CABI, UK Using Satellites to Help Control Agricultural Pests and Diseases in China
Eva Fojcikova, ABmerit Ltd., SK ESA-Sen2Agri connection with ESTE.
Florian Franziskakis, Group on Earth Observations Secretariat, CH The GEO Knowledge Hub: Organizing the reproducible knowledge produced by the GEO community
Ciro Gardi, European Food Safety Authority, IT Evaluation of the prevalence of Xyllela fastidiosa (sub. Pauca) host plants in Apulia region based on Carta della Natura vegetation map and RS data
Xinrui (Jerry) Ge, Wageningen University / TNO, NL Model Assessment and Validation of Ammonia Emissions at High Spatial and Temporal Resolution over Germany and Benelux
Inês Van Zeller Girão, Lisbon University, PT Evaluating Multispectral Images and Vegetation Indices for the Classification of Vegetation Communities with High Resolution Imagery
Abdoulaye Guindo, University of Social Sciences and Management of Bamako, ML Process of field data collection and validation for Sen2Agri system in Mali
Radoslaw Gurdak, University of Warsaw, PL Fusion of in-situ and satellite remote sensing data for crop yield modelling in Poland
Israel Hinostroza, Centrale Supelec - University Paris Saclay, FR Remote Sensing for agricultural study in Peru: classification of crops
Taha Ibrahim Mohammedahmed Ibrahim, Szent Istvan University, HU Analysis of Irrigation Efficiency Based on Remote Sensing Test area: New Halfa scheme, Sudan
Dejan Jevšnik, Geodetski zavod Celje, d.o.o, SI Study of Agricultural subsidy monitoring sistem potential using Sentinel 2 mission data in Slovenia
Christina Karakizi, National Technical University of Athens, GR Annual Land Cover and Crop Type Mapping at Central Greece from Sentinel-2 Data
Hervé Kerdiles, European Commission JRC, IT Forecasting crop yields in Africa with CST software
Katja Kowalski, Humboldt-University Berlin, DE Mapping fractional vegetation cover of managed grassland systems using Sentinel-2 time series and ensemble learning
Pedro Leitão, Hidromod, PT AquaFarm - Management of water and food resources and Improvement of the supply chain
Inti Ernesto Luna Aviles, University of Lleida, ES Monitoring sugarcane plantations in Nicaragua using multiple platforms: Sentinel-2, Planet and UAV imagery with Open Data Kit as a tool for ground validation
Hongyuan Ma, University College London, UK Rapid High-Resolution Yield Estimation ​by Assimilating Sentinel-2 Reflectance​
Pere / Pedro Mas, FOGAIBA, ES CAP monitoring in the Balearic Islands
Matilda Merkohasanaj, ETC-UMA, ES Utility assessment in using optical and radar data to monitor surface water dynamic in wetland ecosystems, Fuente de Piedra, Spain.
Cristian Mestre Runge, Universidad de Lleida, ES Modelling of biophysical variables of vegetation in Pyrenean meadows: Integration of field data, UAV images and Sentinel-2 images.
Mustapha Mimouni, Observatoire du Sahara et du Sahel, TN Crop mapping using high spatio-temporal resolution Sentinel data in Tunisia: potential and challenges
Aicha Moumni, Cadi Ayyad University, MA Crop mapping using Sentinel-2 time series over the Semi-Arid Haouz plain of Morocco
Vasileios Moysiadis, CERTH-iBO, GR Mapping agricultural areas using satellite images
Kenneth Mwangi, IGAD Climate Prediction and Applications Centre, KE Region Crop Monitoring, Challenges and Opportunities
Martin Neuwirth, Environmental Agency Austria, AT Enhancing the capabilities of the austrian farmland biodiversity monitoring “ÖBM Kulturlandschaft” with Sentinel-1 and Sentinel-2 Data
Marco Nocita, European Commission Joint Research Centre, IT Impact of CAP on landscape features by HRL small woody features and LUCAS survey transects
Manuel Nolte, Rheinische Friedrich-Wilhelms-Universität Bonn, DE Detection of powdery mildew symptoms on cucumber using hyperspectral imaging.
Francesco Nutini, National Research Council, IT Sentinel-2 imagery and smartphone apps measurements to monitor rice nitrogen status and support precision agriculture techniques in digital agriculture context
Nicola Paciolla, Politecnico di Milano, IT Evapotranspiration estimates from an energy-water balance model and satellite Land Surface Temperature over the desertic Heihe River basin
Davide Palmisano, CNR-IREA, IT Sentinel-1 data for surface soil moisture retrieval and crop structure discrimination
Giuseppe Peschechera, Politecnico di Bari, IT Testing the capabilities of the “Analytical Approach” to estimate evapotranspiration at different scales
Kira Anjana Pfoch, Humboldt-Universität zu Berlin, DE Grassland use intensity metrics from Sentinel-1 and Sentinel-2 data
Christoph Raab, University for Sustainable Development Eberswalde, DE Object-based characterisation of agricultural land use trajectories in Central Asia
Francelino Rodrigues, International Maize and Wheat Improvement Cente, MX Mexican crop observation, management and production analysis services system – COMPASS
Noelia Romero-Puig, University of Alicante, ES Retrieval of agricultural crop parameters by means of PolInSAR TanDEM-X bistatic data
Vlad Mihai Rosca, Lund University, SE Sentinel 2 Monthly Image Composites for Crop Type Classification
Tomáš Rusňák, Slovak Academy of Sciences, SK Detection of Black locust in non-forest woody vegetation of the Danubian Lowland
Calogero Schillaci, University of Milan, IT Set-aside and cropland mapping in a Mediterranean semi-arid island, a case study
Joel Segarra, University of Barcelona, ES Evaluation of Sentinel-2 based vegetation indexes ability to predict wheat agrosystems performance
Hausala Shakya, GAF AG, DE Automatic monitoring of agricultural parcels using Sentinel-1 and -2 data in the frame of the CAP
Sofia Siachalou, Aristotle University of Thessaloniki, GR The Disaster and Agriculture Sentinel Application project
Aida Taghavi Bayat, University of Wurzburg, DE Machine learning based models for top soil moisture prediction using Sentinel-1 and Geophysical data
Andreas Tewes, University of Bonn, DE Assimilation of Sentinel-2 Derived LAI Into a Crop Model at Sub-Field Level: Does Precision of Soil Information Matter?
Miran Tisu, Minisry of Agriculture Forestry and Food of Slovenia, SI Remote sensing data application by Ministry of Agriculture, Forestry and Food of Slovenia (current state and future options)
Jiri Tomicek, Charles University in Prague, Gisat Ltd., CZ Retrieval of Leaf Area Index, Chlorophyl and Water Content using Sentinel-2 data and Radiative Transfer
Renan Tosin, University of Porto, PT Estimating predawn leaf water potential through hyperspectral data and pigment’s concentration in the Douro Wine Region
Souleymane S. Traore, University of Social Sciences and Management of Bamako, ML Process of field data collection and validation for Sen2Agri system in Mali
Maruša Vertačnik, Geodetic Institute of Slovenia, SI Analysis of Time Series Satellite Images for Detection of Drought Stress on Selected Crop in Prekmurje
Adam Jan Wasilewski, Warsaw University of Technology, PL The use of multi-temporal Sentinel-1 radar images and convolutional neural networks for mapping rapeseed crop
Shaojuan Xu, Research Institute for Urban and Regional Development, DE Challenges of using Sentinel data for land monitoring – towards a quantitative evaluation of land changes
Lilin Zhang, University of Twente/ITC, NL Comparison of vegetation-based methods with different parameterization for soil evaporation in agricultural landscape
Ivona Žiža, Oikon ltd., HR Crop mapping using combination of Sentinel 1 and Sentinel 2 data: A case study for Croatia
Brent Fallarcuna, Environmental Science for Social Change, PH 2018 Land Cover Mapping of Bukidnon Using Sen2Agri and Field-Derived Training Datasets