| d'Andrimont, Raphaël | UCLouvain, Belgium | Combining expert-based and crowdsourcing approaches in a two-tier sampling design for validation: global experimental results for cropland maps |
| Da Pelo, Stefania | Università degli Studi di Cagliari, Italy | Land cover mapping in the framework of the FLOWERED project in the study areas of Tanzania, Kenya and Ethiopia. |
| Danne, Olaf | Brockmann Consult GmbH, Germany | Sentinel-2 cloud free surface reflectance composites for Land Cover Climate Change Initiative’s long-term data record extension |
| Danylo, Olha | International Institute for Applied Systems Analysis, Austria | Hybrid land cover of Russia - 2010 |
| DAOUDI, Khadidja | University, Algeria | Monitoring Land Cover and Land Use in Mediterranean Area using Landsat Data in NorthWest of Algeria |
| Datcu, Mihai | DLR Remote Sensing Technology Institute Wessling Germany;
University Politehnica of Bucharest, Romania;
Remote Sensing Technology Institute, German Aerospace Center (DLR), 82234 Oberpfaffenhofen, Germany;
Deutsches Zentrum für Luft-und Raumfahrt (DLR), Oberpfaffenhofen, D-82234 Wessling, Germany | Analysis of Protected Areas: The Use of Satellite Images for Data Mining within ECOPOTENTIAL
Coastal Land Cover Classification Using Sentinel-1 Images
Land Cover Change Detection Using a Relevance Feedback System
Land Cover Classification using Sentinel-2 Data
Methods and Algorithms for Feature Extraction and Semantic Analysis of Very High Resolution Polarimetric Synthetic Aperture Radar Images
Sentinel-1 Potential for Land Cover Classification |
| de Bruin, Sytze | Wageningen University and Research, The Netherlands, | Spatial uncertainties and integration of global land cover maps |
| De Maet, Thomas | UCLouvain, Belgium;
UCLouvain-Geomatics (Belgium), Belgium;
Université catholique de Louvain, Belgium | Combining expert-based and crowdsourcing approaches in a two-tier sampling design for validation: global experimental results for cropland maps
Consistent 1992-2015 global land cover time series at 300 m thanks to a state-of-the-art reprocessing of multi-mission archives
Mapping Africa land cover at 10 m with Sentinel-2: challenges and current achievements of the Land Cover component of the ESA Climate Change Initiative
Operational Aspects of Producing Consistent Quality Land Cover Maps from High and Medium Resolution Sensor Data
Sentinel-2 cloud free surface reflectance composites for Land Cover Climate Change Initiative’s long-term data record extension |
| De Vecchi, Daniele | University of Pavia, Corso Str. Nuova, 106/c, 27100 Pavia, Italia;
Eucentre, Via Adolfo Ferrata, 1, 27100 Pavia, Italia | The ESA Research and Service Support : providing tools for Sentinels data exploitation |
| Dédie, Gerard | CESBIO, France | Sentinels synergy for seasonal agricultural crop mapping |
| Dedieu, Gérard | Centre d’Etudes Spatiales de la BIOsphère, Université de Toulouse, France | Sentinel-2 for Agriculture: Synergy of Sentinel-2 and Landsat 8 for supporting operational national and global crop monitoring |
| Deflorio, Anna Maria | Planetek Italia Srl | Land cover mapping in the framework of the FLOWERED project in the study areas of Tanzania, Kenya and Ethiopia. |
| Defourny, Pierre | Université catholique de Louvain, Belgium;
UCLouvain, Belgium;
UCLouvain-Geomatics (Belgium), Belgium;
Université catholique de Louvain (UCL) – Earth and Life Institute (ELI) | Can We Avoid Mixed Pixels Bias In Validation Of Land Cover Maps Derived From High Resolution Data ?
Combining expert-based and crowdsourcing approaches in a two-tier sampling design for validation: global experimental results for cropland maps
Consistent 1992-2015 global land cover time series at 300 m thanks to a state-of-the-art reprocessing of multi-mission archives
Defining the accuracy requirements for pixel counting to be competitive with traditional statistical area estimates
Envisat ASAR and Sentinel-1: a decade of observations exploited to map inland water bodies
Large Scale decametric Cropland Mapping from Sentinel-2 and Validation: Lessons Learned from 2016 nationwide Demonstration for different Countries
Mapping Africa land cover at 10 m with Sentinel-2: challenges and current achievements of the Land Cover component of the ESA Climate Change Initiative
Operational Aspects of Producing Consistent Quality Land Cover Maps from High and Medium Resolution Sensor Data
Sentinel-1 SAR time series for regional cropland mapping
Sentinel-2 cloud free surface reflectance composites for Land Cover Climate Change Initiative’s long-term data record extension
Sentinel-2 for Agriculture: Synergy of Sentinel-2 and Landsat 8 for supporting operational national and global crop monitoring
Sentinel-based Evolution of Copernicus Land Services on Continental and Global Scale
Spatial Region Data Model For 10 m Land Cover Mapping Dedicated To Biodiversity Research
Validation of global annual land cover map series and land cover change: experience from the Land Cover component of the ESA Climate Change Initiative |
| Dejon, Denise | Friedrich-Schiller-Universität Jena | Towards Automatic Global Land Cover Classification On Sentinel-2 Data |
| Dejon, Denise | Friedrich Schiller University, Germany | A Sampling Approach for Advanced Multi-Temporal Classification of Sentinel-2 Data |
| del Blanco, Vicente | Agricultural Technological Institute of Castile and Leon, Regional Ministry of Agriculture, Junta de Castilla y León, Spain | Castile and Leon Crops and Natural Land Map |
| Del Frate, Fabio | University of Tor Vergata, Italy | Automatic update of land cover maps using satellite data and neural networks |
| Delangre, Jessica | Université de Liège, Belgium | Spatial Region Data Model For 10 m Land Cover Mapping Dedicated To Biodiversity Research |
| Delgado Blasco, José Manuel | Progressive Systems Srl;
ESA Research and Service Support | Automatic update of land cover maps using satellite data and neural networks |
| Delgado Blasco, Jose Manuel | ESA Research and Service Support, via Galileo Galilei, 1, 00044 Frascati (Italy);
Progressive Systems Srl, Parco Scientifico di Tor Vergata, 00133 Roma (Italy) | The ESA Research and Service Support : providing tools for Sentinels data exploitation |
| Dellwik, Ebba | DTU, Denmark | On the spatial and temporal resolution of land cover products for applied use in wind resource mapping |
| Derksen, Dawa | CESBIO - UMR 5126, 18 avenue Edouard Belin, 31401 Toulouse CEDEX 9, France | Operational Land Cover Map Production using Sentinel Image Time Series Supervised Classification with Out-Of-Date Reference Data |
| Desclée, Baudouin | Systèmes d’Information à Référence Spatiale (SIRS) SAS | Advances in Copernicus High-Resolution Land Monitoring
Sentinel-based Evolution of Copernicus Land Services on Continental and Global Scale |
| Dessì, Francesco Gabriele | Università degli Studi di Cagliari, Italy | Land cover mapping in the framework of the FLOWERED project in the study areas of Tanzania, Kenya and Ethiopia. |
| Deutscher, Janik | JOANNEUM RESEARCH Forschungsgesellschaft mbH | Sentinel-based Evolution of Copernicus Land Services on Continental and Global Scale |
| Diaz-Delgado, Ricardo | LAST (Remote Sensing & GIS Lab) Sevilla Spain | Analysis of Protected Areas: The Use of Satellite Images for Data Mining within ECOPOTENTIAL |
| DiGregorio, Antonio | FAO Consultant | An Object-Oriented Method to Assess Semantic Similarity between LCML based Legends
Assessing and modelling a functional relationship of L.C. and L.U. a possible new path forward. The LCHML (Land Characterization Metal-Language) a new proposed FAO UML schema. Presenter |
| Domingo, Cristina | Universitat Autonoma de Barcelona, Spain | Global to Local Land Cover and Habitat Mapping: The Ecopotential Approach |
| dos Santos, João Roberto | National Institute for Space Research (INPE), Brazil | Tropical Forest Characterisation with SAR and Geomorphometric Data |
| Dresel, Christopher | International Institute for Applied Systems Analysis (IIASA), Austria | LACO-Wiki: An Online Tool for the Validation of Land Cover at Global, Regional and Local Scales |
| Drewnik, Marek | Jagiellonian University, Institute of Geography and Spatial Management, Poland | Estimating Forest Aboveground Biomass Using Sentinel 1 and 2 Data: The Case Study From The Polish Carpathians |
| Dubois, Grégoire | European Commission, Joint Research Centre, Italy | Monitoring land cover changes in and around protected area from local to global scale: An ESA CCI land cover mapping experience |
| Dubovyk, Olena | Center for Remote Sensing of Land Surfaces, University of Bonn | Rule-Based Framework for Crop Identification Using Temporal and Phenological Metrics: A Multi-Temporal and Multi-Sensor Approach
Wide-Area Mapping Of Invasive Species Spread And Containment Zones In Somaliland Using Phenometric Trends From MODIS Time-Series Data |
| Duerauer, Martina | International Institute for Applied Systems Analysis, Austria;
IIASA, Laxenburg, Austria | A New Open Reference Global Dataset for Land Cover Mapping at a 100m Resolution
Combining expert-based and crowdsourcing approaches in a two-tier sampling design for validation: global experimental results for cropland maps |
| Dufourmont, Hans | European Environment Agency, Denmark | Comparative validation of Copernicus Pan-European High Resolution Layer (HRL) on Tree Cover Density (TCD) and University of Maryland (UMd) Global Forest Change (GFC) over Europe |
| Dumitru, Corneliu Octavian | DLR Remote Sensing Technology Institute Wessling Germany | Analysis of Protected Areas: The Use of Satellite Images for Data Mining within ECOPOTENTIAL
Coastal Land Cover Classification Using Sentinel-1 Images
Sentinel-1 Potential for Land Cover Classification |
| Dürauer, Martina | International Institute for Applied Systems Analysis, Austria | Hybrid land cover of Russia - 2010 |
| Dvornikov, Yuri | Earth Cryosphere Institute, Russian Academy of Sciences, Tyumen, Russia | Sentinel-1 versus Sentinel-2 for tundra shrub mapping |
| D’annunzio, Remi | FAO Forestry Department, FAO of UN, Rome Italy | Forest degradation assessment: accuracy assessment of forest degradation products using HR data |
Session Overview
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