| La Mantia, Claudio | Planetek Italia Srl | Land cover mapping in the framework of the FLOWERED project in the study areas of Tanzania, Kenya and Ethiopia. |
| Lafortezza, Raffaele | UNIBA | Socioecological Carbon Production in Managed Agricultural-Forest Landscapes |
| Lamarche, Céline | UCLouvain-Geomatics (Belgium), Belgium;
Université catholique de Louvain, Belgium | Consistent 1992-2015 global land cover time series at 300 m thanks to a state-of-the-art reprocessing of multi-mission archives
Envisat ASAR and Sentinel-1: a decade of observations exploited to map inland water bodies
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
Sentinel-2 cloud free surface reflectance composites for Land Cover Climate Change Initiative’s long-term data record extension
Validation of global annual land cover map series and land cover change: experience from the Land Cover component of the ESA Climate Change Initiative |
| Lamparelli, Rubens | NIPE/UNICAMP - Brazil | Improved Space-based Remote Sensing for Land Cover Mapping; Towards A Sustainable Expansion of the bio-ethanol sector in Brazil |
| Landmann, Tobias | International Centre of Insect Physiology and Ecology, Kenya | Wide-Area Mapping Of Invasive Species Spread And Containment Zones In Somaliland Using Phenometric Trends From MODIS Time-Series Data |
| Lardeux, Cedric | ONF International, France | Copernicus Global Land Hot Spot Monitoring Service – Accuracy Assessment and Area Estimation Approach |
| Laso Bayas, Juan Carlos | 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 |
| Laso-Bayas, Juan Carlos | IIASA, Laxenburg, Austria | Combining expert-based and crowdsourcing approaches in a two-tier sampling design for validation: global experimental results for cropland maps |
| Latham, John | UN/FAO | Challenges and Opportunities for Monitoring Land and its Cover Change through the use of Geospatial Information |
| Latini, Daniele | GEO-K Srl | Automatic update of land cover maps using satellite data and neural networks |
| Laurentiu, Nicola | CS-Romania, Romania | Large Scale decametric Cropland Mapping from Sentinel-2 and Validation: Lessons Learned from 2016 nationwide Demonstration for different Countries |
| Lavreniuk, Mykola | National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”;
Space Research Institute of National Academy of Sciences of Ukraine and State Space Agency of Ukraine | Large Scale Crop Classification Using Deep Learning Approach
Rule-Based Framework for Crop Identification Using Temporal and Phenological Metrics: A Multi-Temporal and Multi-Sensor Approach
Validation Techniques for Land Cover and Land Use Maps |
| Lazzarini, Michele | European Union Satellite Centre, Spain | Land Cover data to support a Change Detection system for the Space and Security community |
| Le Toan, Thuy | Centre d’Etudes Spatiales de la Biosphère, France | Global Mapping of Forest Carbon Stocks using Spaceborne Radar |
| Leibmann, Marina | Earth Cryosphere Institute, Russian Academy of Sciences, Tyumen, Russia | Sentinel-1 versus Sentinel-2 for tundra shrub mapping |
| Leinenkugel, Patrick | German Aerospace Center (DLR), Earth Observation Center (EOC), German Remote Sensing Data Center (DFD) | Automated Derivation of Land Use and Land Cover Based on Landsat Time-series and Open Geodata |
| Leo, Olivier | Joint Research Center, Ispra, Italy | Development of a New Harmonized Land Cover/Land Use Dataset for Agricultural Monitoring in Africa
Combining expert-based and crowdsourcing approaches in a two-tier sampling design for validation: global experimental results for cropland maps |
| Lesiv, Myroslava | 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
Hybrid land cover of Russia - 2010
The Dynamic Global Land Cover Layer at 100m Resolution from Copernicus Global Land |
| Lewiński, Stanisław | Space Research Centre (CBK PAN), Poland | A Sampling Approach for Advanced Multi-Temporal Classification of Sentinel-2 Data |
| Lewinski, Stanisław | Space Research Centre of Polish Academy of Science, Poland | Towards Automatic Global Land Cover Classification On Sentinel-2 Data |
| Li, Congcong | Department of Environmental Science, Policy and Management, University of California, Berkeley, USA | An all-season sample set for mapping global land cover at various resolutions |
| Lisini, Gianni | University of Pavia, Italy | Consistent 1992-2015 global land cover time series at 300 m thanks to a state-of-the-art reprocessing of multi-mission archives |
| Loddo, Paolo | Planetek Italia Srl | Land cover mapping in the framework of the FLOWERED project in the study areas of Tanzania, Kenya and Ethiopia. |
| Loekken, Sveinung | European Space Agency, Italy | Land monitoring integrated Data Access - status and outlook on platforms |
| Lopez, Ander | ZFL Center for Remote Sensing of Land Surfaces, Germany | Remote sensing for the wise use of wetlands: 25 years of landscape changes in the Kilombero floodplain, Tanzania. |
| Loret, Emanuele | University of Rome “Tor Vergata”, Department of Civil Engineering and Computer Science, Italy | GIS statistical comparison and integration of multi-temporal spaceborne optical and radar data for the analysis of the large Roman urban area expansion since the last three decades. |
| Loveland, Thomas R. | United States Geological Survey (USGS), United States | Towards a New Philosophy for Generating Land Cover Products
Meeting Evolving Needs for Large-area Land Cover and Land Change Information: The USGS Perspective |
| Löw, Fabian | MapTailor Geospatial Consulting GbR | Rule-Based Framework for Crop Identification Using Temporal and Phenological Metrics: A Multi-Temporal and Multi-Sensor Approach |
| Lucas, Richard | University of New South Wales, Australia | Global to Local Land Cover and Habitat Mapping: The Ecopotential Approach |
| Ludwig, Christina | GeoVille Information Systems, Innsbruck, Austria | Towards a global high resolution wetland inventory based on optical and radar imagery |
| Lugonja, Predrag | University of Novi Sad, Serbia;
BioSense Institute, Serbia | Availability of Satellite Based Digital Surface Models – Comparison of ALOS-AW3D and ASTER-GDEM Data over Serbia
Sentinel-2 and Landsat-8 for High-Resolution Land Cover Mapping in Sustainable Agriculture |
| Lupi, Andrea | Joint Research Centre - European commission, Italy | The Copernicus Global Land High Resolution Hot Spot Monitoring Program – responding to specific user requirements in mapping natural resources |
| Luqman, Muhammad | The Urban Unit, Pakistan | River Channel Dynamics Detection Using Remote Sensing and GIS Technologies- A Case Study of River Chenab in Indo-Pak Region |
| Lusch, David | RS/GIS, MSU | Socioecological Carbon Production in Managed Agricultural-Forest Landscapes |
Session Overview
Print View with Header