Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
Date: Tuesday, 14/Mar/2017
Mtg. Room: Big Hall
1.1: Opening Session
Mtg. Room: Big Hall
Chair: Bianca Hoersch, ESA
Chair: Olivier Arino, ESA

Welcome Address

Nicolaus Hanowski


Copernicus Programme

Michel Massart

DG-GROW, Belgium

Sentinel-1 Mission Status

Pierre Potin

European Space Agency, Italy

Sentinel-2 Mission Status

Bianca Hoersch

European Space Agency, Italy

Sentinel-3 Mission Status and Performance

Susanne Mecklenburg

European Space Agency, Italy

Coffee Break
Mtg. Room: Big Hall
Opening Session (cont'd)
Mtg. Room: Big Hall

Meeting Evolving Needs for Large-area Land Cover and Land Change Information: The USGS Perspective

Thomas R. Loveland

U.S.Geological Survey, United States of America

Multi-Source Land Imaging for Developing Continental and Global Land-Cover/Use Products in the NASA LCLUC Program

Garik Gutman

NASA, United States of America

Land Cover – An Essential Element for Multilateral Environmental Agreements

Barbara J. Ryan, Gary N. Geller, Andre Obregon

GEO Secretariat, Geneva, Switzerland

Challenges and Opportunities for Monitoring Land and its Cover Change through the use of Geospatial Information

John Latham


1.2: Responding to User Needs
Mtg. Room: Big Hall
Chair: Barbara Ryan, GEO
Chair: Martin Herold, Wageningen University & Research - WUR

Uncertainty in Land Cover observations and its impact on climate simulations

Goran Georgievski, Stefan Hagemann

Max Planck Institute for Meteorology, Germany

Uncertainty in satellite-derived land cover information and its impact on land surface models

Andrew Hartley1, Natasha MacBean2, Goran Georgievski3, Sophie Bontemps4

1: Met Office Hadley Centre, United Kingdom; 2: Laboratoire des Sciences du Climat et l'Environnement, Institut Pierre Simon Laplace, France; 3: Max Planck Institut für Meteorologie, Germany; 4: Université catholique de Louvain, Belgium

Mtg. Room: Canteen
Responding to User Needs (cont'd)
Mtg. Room: Big Hall

Monitoring and Assessing Land Use: Progress for Land System Science through Climate Change Research and SDGs

Martin Herold1, Patrick Hostert2, Sebastian van der Linden2, Jan Verbesselt1

1: Wageningen University & Research, The Netherlands; 2: Humboldt-Universität zu Berlin, Germany

Land Cover Information Requirements for Supporting Countries to set Land Degradation Neutrality Targets and Ensure Further Monitoring

Sara Minelli1, Sven Walter2, Alain Retière3

1: UNCCD Secretariat, Bonn, Germany; 2: UNCCD Global Mechanism, Rome, Italy; 3: UNCCD Global Mechanism, France

Biodiversity and ecosystem service community user needs for global land cover and land use mapping

Brian O'Connor1, Neil Burgess1, Rachael Petersen2, Andrew Skidmore3

1: UNEP-WCMC, 219 Huntingdon Road, Cambridge, CB3 0DL, United Kingdom; 2: World Resources Institute, 10 G Street NE, Washington, DC 20002, United States of America; 3: ITC, University Twente, Enschede, 7500 AA, Netherlands

Principles and Criteria for Creating, Disseminating, and Maintaining Operational Land Cover Monitoring Systems: Lessons Learned from More than 1 Million Users of Global Forest Watch

Mikaela J Weisse, Rachael Petersen, Fred Stolle

World Resources Institute

Coffee Break
Mtg. Room: Big Hall
Responding to User Needs (cont'd)
Mtg. Room: Big Hall

Using Earth Observation and Other Geospatial Data to Improve OECD's Environmental and Green Growth Indicators and Its Policy Guidance

Ivan Hascic, Alexander Mackie, Miguel Cardenas Rodriguez

Organisation for Economic Co-operation and Development (OECD), France

National Forest and Land Use Monitoring in Africa Countries: Cameroon and Malawi

Thomas Haeusler, Sharon Gomez, Fabian Enssle

GAF AG, Germany

New land cover data requirements for environmental accounting in Australia and globally

Albert Van Dijk, Michael Vardon, David Summers

Australian National University, Australia

Global Mapping of Forest Carbon Stocks using Spaceborne Radar

Oliver Cartus1, Maurizio Santoro1, Stephane Mermoz2, Alexandre Bouvet2, Thuy Le Toan2, Adam Erickson3, Nuno Carvalhais3, Valerio Avitabile4, Martin Herold4, Christiane Schmullius5

1: GAMMA Remote Sensing, Switzerland; 2: Centre d’Etudes Spatiales de la Biosphère, France; 3: Max Planck Institute for Biogeochemistry, Germany; 4: Wageningen University, The Netherlands; 5: Friedrich-Schiller-University, Germany

Towards a New Philosophy for Generating Land Cover Products

Gary Neil Geller1, Andre Obregon1, Alan Belward2, Jun Chen3, Ivan Hascic4, Martin Herold5, Peng Gong6, Thomas Loveland7, Brice Mora5,8, Gregory Scott9, Zoltan Szantoi2

1: Group on Earth Observations (GEO) Secretariat, Switzerland; 2: Joint Research Centre (JRC), Italy; 3: National Geomatics Center of China (NGCC), China; 4: Organisation for Economic Co-operation and Development (OECD); 5: Wageningen University, The Netherlands; 6: Tsinghua University, China; 7: United States Geological Survey (USGS), United States; 8: GOFC-GOLD Land Cover Office, The Netherlands; 9: UN Global Geospatial Information Management (GGIM)

1.3: Poster Session - Welcome Cocktail
Mtg. Room: Magellan

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.

Luca Martino1, Emanuele Loret2, Magdalena Fitrzyk3

1: Serco Spa for ESA, User Services and Mission Planning (EOP-G), Italy; 2: University of Rome “Tor Vergata”, Department of Civil Engineering and Computer Science, Italy; 3: ESA, Science Strategy, Coordination and Planning Office (EOP-SA), Italy


GIS-based Estimation of Soil Erosion Potential and its Implications to Water Resources of City of Kinshasa, D.R. Congo

Martin Tshikeba Kabantu1,2, Raphael Muamba Tshimanga2,1, Webster Ngumindoga3

1: Congo River basin network for research and capacity building in water resources, Congo, Democratic Republic of the; 2: University of Kinshasa; 3: University of Zimbabwe


Advanced FORest ENvironmental Services Assessment - AFORENSA

Ivan Pilas1, Ivan Medved1, Jasnica Medak1, Luka Rumora2, Damir Medak2

1: Croatian Forest Research Institute, Croatia; 2: University of Zagreb, Faculty of Geodesy


Monitoring Land Cover and Land Use in Mediterranean Area using Landsat Data in NorthWest of Algeria

Tayeb SI TAYEB1,2, Khadidja DAOUDI1

1: University, Algeria; 2: Laboratory of biotoxicology, pharmacognosy and biological valorization of plants


Defining the accuracy requirements for pixel counting to be competitive with traditional statistical area estimates

François Waldner, Pierre Defourny

UCLouvain, Belgium


On the Set-up of National Forest Monitoring Systems for REDD+

Inge GC Jonckheere, Stefano Giaccio, Alessio Alfonsetti, Damiano Giampaoli

FAO of the United Nations, Forestry Department, Italy


Deriving Forest/Non-Forest Maps from TanDEM-XInterferometric SAR Data

Paola Rizzoli, Michele Martone, Christopher Wecklich, Carolina Gonzalez, Jose´ Luis Bueso Bello, Paolo Valdo, Gerhard Krieger, Manfred Zink

German Aerospace Center, Germany


On the spatial and temporal resolution of land cover products for applied use in wind resource mapping

Charlotte Hasager, Merete Badger, Ebba Dellwik, Rogier Floors, Andrea Hahmann, Jakob Mann

DTU, Denmark


SWOS: Partnership improving Wetlands Knowledge and Conservation through Earth Observation Monitoring

Kathrin Weise, Christian Huettich

Jena-Optronik GmbH, Germany


Sentinel-based Evolution of Copernicus Land Services on Continental and Global Scale

Linda Moser1, Markus Probeck1, Gernot Ramminger1, Christophe Sannier2, Baudouin Desclée2, Mathias Schardt3, Heinz Gallaun3, Janik Deutscher3, Pierre Defourny4, Xavier Blaes4, Igor Klein5, Manfred Keil5, Andreas Hirner5, Thomas Esch5

1: GAF AG; 2: Systèmes d’Information à Référence Spatiale (SIRS) SAS; 3: JOANNEUM RESEARCH Forschungsgesellschaft mbH; 4: Université catholique de Louvain (UCL) – Earth and Life Institute (ELI); 5: German Aerospace Center (DLR) – German Remote Sensing Data Center (DFD)


Validation Techniques for Land Cover and Land Use Maps

Mykola Lavreniuk1, Nataliia Kussul2, Andrii Shelestov1, Bohdan Yailymov2

1: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”; 2: Space Research Institute, Ukraine






Operational Land Cover Map Production using Sentinel Image Time Series Supervised Classification with Out-Of-Date Reference Data

Jordi Inglada1, Benjamin Tardy1, Dawa Derksen1, Charlotte Pelletier1, Arthur Vincent1, Silvia Valero1, Julien Michel2, Vincent Thierion3

1: CESBIO - UMR 5126, 18 avenue Edouard Belin, 31401 Toulouse CEDEX 9, France; 2: CNES/DCT/SI/AP, 18 avenue Edouard Belin, 31401 Toulouse CEDEX 9, France; 3: CESBIO - UMR 5126, 18 avenue Edouard Belin, 31401 Toulouse CEDEX 9, France and DYNAFOR, INP-ENSAT, INP-EI Purpan, INRA, University of Toulouse, Auzeville 31320, France


Forest vegetation under climate change of the 21st century in central Siberia

Elena I. Parfenova, Nadezhda M. Tchebakova

Forest Institute of SB RAS, Russian Federation


Spatial uncertainties and integration of global land cover maps

Nandin-Erdene Tsendbazar, Martin Herold, Sytze de Bruin

Wageningen University and Research, The Netherlands,


The Copernicus Global Land High Resolution Hot Spot Monitoring Program – responding to specific user requirements in mapping natural resources

Andreas Brink1, Zoltan Szantoi1, Andrea Lupi1, Pier Lorenzo Marasco1, Pere Roca-Ristol1, Domenico Grandoni2

1: Joint Research Centre - European commission, Italy; 2: e-geos S.p.A.


Impact of Land Cover Map Classification and Spatiotemporal Characteristics on 300 m to 5 km Operational Evapotranspiration Mapping at Continent-scale

Nicolas Ghilain, Alirio Arboleda, Jose Miguel Barrios, Françoise Gellens-Meulenberghs

Royal Meteorological Institute of Belgium, Belgium


Tropical Forest Characterisation with SAR and Geomorphometric Data

Polyanna da Conceição Bispo1, Heiko Balzter1, João Roberto dos Santos2, Márcio de Morisson Valeriano2

1: University of Leicester, United Kingdom; 2: National Institute for Space Research (INPE), Brazil


Copernicus-based Detection and Monitoring of Tropical Wetlands in Rwanda: The DeMo-Wetlands project as contribution to Global Land Cover Mapping efforts

Adrian Strauch1, Esther Amler1, Natalie Cornish2, Jonas Franke2, Klaus Greve1, Stefan Kirmaier2, Maja Röse1, Frank Thonfeld1

1: University of Bonn, Germany; 2: Remote Sensing Solutions GmbH, Germany


Global-scale Auxiliary Variables Improve overall Accuracy of Regional Land Use / Land Cover Classification in Heterogenous Savanna Ecosystems

Pekka Juhani Hurskainen1, Andreas Hemp2

1: University of Helsinki, Department of Geosciences and Geography, Finland; 2: University of Bayreuth, Department of Plant Systematics, Germany


Land use/Land cover changes monitoring and analysis of Dubai Emirate, UAE using multi-temporal remote sensing data


1: Civil and Environmental Engineering Department, United Arab Emirates; 2: Irrigation and Hydraulics Department, Faculty of Engineering, Cairo University


River Channel Dynamics Detection Using Remote Sensing and GIS Technologies- A Case Study of River Chenab in Indo-Pak Region

Muhammad Luqman1, Samiullah Khan1, Farkhanda Akmal1, Sajid Rashid Ahmad2, Ahmad Raza1

1: The Urban Unit, Pakistan; 2: College of Earth and Environmental Science, University of the Punjab


Dead Sea Recesssion

Entisar Ali Elhihi

Royal Jordanian Geographic centre, Jordan, Hashemite Kingdom of


The synergy of Sentinels and Corona imagery to assess urban land cover change over 5 decades in Bucharest, Romania

Constantin Nistor1, Bogdan Mihai1, Liviu Toma2, Irina Cârlan1, Marina Vîrghileanu1

1: University of Bucharest, Faculty of Geography, Romania; 2: GISBOX Srl, Bucharest, Romania


An all-season sample set for mapping global land cover at various resolutions

Peng Gong1, Congcong Li2, Jie Wang3, Yuqi Bai1, Zhiliang Zhu4, Greg Biging2

1: Tsinghua University, Beijing, China; 2: Department of Environmental Science, Policy and Management, University of California, Berkeley, USA; 3: Institute of Remote Sensing and Digital Earth, Beijing, China; 4: USGS, Reston, VA, USA


Remote sensing method for quantification of ground surface changes and environmental regime shifting in Semi-arid region

Buho Hoshino1, Yuki Sofue2, Kenji Kai3, PUREVSUREN Tsedendamba1, Kenji Baba1

1: Rakuno Gakuen University, Japan; 2: The Center for Environmental Remote Sensing, Chiba University, Japan; 3: Graduate School of Environmental Studies, Nagoya University, Japan


Castile and Leon Crops and Natural Land Map

David A. Nafría1, Vicente del Blanco1, José L. Bengoa2

1: Agricultural Technological Institute of Castile and Leon, Regional Ministry of Agriculture, Junta de Castilla y León, Spain; 2: Regional Ministry of Public Works and Environment, Junta de Castilla y León, Spain


Monitoring of Glacier Surface Properties with optical Satellite Data – Examples from the Eastern Alps (Austria and Italy) and the Khumbu-Himal (Nepal)

Lorenzo Rieg1, Christoph Klug1, Hannah Prantl1, Rudolf Sailer1, Lindsey Nicholson2

1: Institute of Geography, University of Innsbruck, Austria; 2: Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Austria


Deep Learning for Land Classification and Palm Tree Counting for the United Arab Emirates

Paula Marti, Milena Napiorkowska, David Petit, Fabiano Costantini

Deimos Space UK, United Kingdom


Availability of Satellite Based Digital Surface Models – Comparison of ALOS-AW3D and ASTER-GDEM Data over Serbia

Branko Brkljač1,2,3, Predrag Lugonja1,2, Vladan Minić1,2, Marko Panić1,2, Oskar Marko1,2, Sanja Brdar1,2, Vladimir Crnojević1,2

1: University of Novi Sad, Serbia; 2: BioSense Institute, Serbia; 3: Faculty of Technical Sciences, Serbia


Sentinel-2 and Landsat-8 for High-Resolution Land Cover Mapping in Sustainable Agriculture

Predrag Lugonja1,2, Oskar Marko1,2, Marko Panić1,2, Branko Brkljač1,2, Sanja Brdar1,2, Vladimir Crnojević1,2

1: BioSense Institute, Serbia; 2: University of Novi Sad, Serbia


Sentinel-1 Potential for Land Cover Classification

Gottfried Schwarz, Corneliu Octavian Dumitru, Mihai Datcu

DLR Remote Sensing Technology Institute Germany


The Regional Distribution of Permafrost on Tröllaskagi peninsula, Northern Iceland

Hannah Prantl1, Rudolf Sailer1, Johann Stötter1, Thomas Nagler2, Ursula Blumthaler2

1: Institute of Geography, University of Innsbruck, Austria; 2: Environmental Earth Observation IT GmbH, Innsbruck, Austria


Coastal Land Cover Classification Using Sentinel-1 Images

Mihai Datcu1, Corneliu Octavian Dumitru1, Daniela Espinoza-Molina1, Gottfried Schwarz1, Sébastien Clerc2

1: DLR Remote Sensing Technology Institute Germany; 2: ACRI-ST France


Linking land cover and biodiversity through the GEOBON Ecosystem Structure Working Group

Andrew Skidmore1, Matt Hansen2

1: ITC University Twente, Netherlands, The; 2: University of Maryland, USA


The Role of Land Cover and Land Use Change Datasets to Support the Sustainable Development Goals

Brice Mora1,2, Martin Herold1, Erika Romijn1, Gregory Scott3, Jun Chen4, Gary Geller5, Andre Obregon5

1: Wageningen U., Netherlands, The; 2: GOFC-GOLD LC Office, The Netherlands; 3: Global Geospatial Information Management, United Nations; 4: National Geomatics Center of China, China; 5: Group on Earth Observations


Analysis of Protected Areas: The Use of Satellite Images for Data Mining within ECOPOTENTIAL

Reza Bahmanyar1, Mihai Datcu1, Corneliu Octavian Dumitru1, Daniela Espinoza-Molina1, Gottfried Schwarz1, Christiaan Hummel2, Herman Hummel2, Alma Blonda3, Ricardo Diaz-Delgado4

1: DLR Remote Sensing Technology Institute Wessling Germany; 2: Royal Netherlands Institute for Sea Research Department of Estuarine and Delta Studies Yerseke The Netherlands; 3: National Research Council Institute of Intelligent Systems for Automation Bari Italy; 4: LAST (Remote Sensing & GIS Lab) Sevilla Spain


Remote sensing for Land Productivity dynamics assessment.

Maurizio Sciortino1, Flavio Borfecchia1, Simone Mantovani2

1: ENEA, Italy; 2: MEEO s.r.l, Italy


VecBorn: Mapping risk areas of Buruli Ulcer through monitoring of water dynamics

Kathrin Weise1, Jan Bongard1,2, Christian Huettich1, Benjamin Koetz3, Gerd Pluschke4

1: Jena-Optronik GmbH, Germany; 2: Friedrich-Schiller-University Jena; 3: European Space Agency, ESA-ESRIN; 4: Swiss Tropical and Public Health Institute


Sentinel-2 for Agriculture: Synergy of Sentinel-2 and Landsat 8 for supporting operational national and global crop monitoring

Sophie Bontemps1, Pierre Defourny1, Nicolas Bellemans1, Cosmin Cara2, Gérard Dedieu3, Eric Guzzonato4, Olivier Hagolle3, Jordi Inglada3, Laurentiu Nicola2, Thierry Rabaute4, Mickael Savinaud4, Cosmin Udroiu2, Silvia Valero3, Benjamin Koetz5

1: Université catholique de Louvain, Belgium; 2: CS-Romania, Romania; 3: Centre d’Etudes Spatiales de la BIOsphère, Université de Toulouse, France; 4: CS Systèmes d’Information, France; 5: ESA-ESRIN, Italy


Aerosol effect on the performance of a change detection technique

Cristiana Bassani1, Cristina Tarantino1, Khalid Tijani2, Palma Blonda1

1: Institute of Atmospheric Pollution Research, Italian National Research Council (IIA-CNR), Italy; 2: Geophysical Applications Processing (GAP) s.r.l.


The Chilly Zones Of The Land Cover Mapped By Means Of Sentinel-2

Gabriele Schwaizer, Johanna Nemec, Thomas Nagler, Helmut Rott

ENVEO IT GmbH, Austria


An investigation of the synergistic use of Sentinel-1 and Sentinel-2 data for wetland classification: a case study from Greece

Andromachi Chatziantoniou1, George P. Petropoulos2, Emmanouil Psomiadis1

1: Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, Greece; 2: Department of Geography and Earth Sciences, University of Aberystwyth, UK


Sentinel 2, from analysis and perspectives to operation: the Common Agriculture Policy –CAP management and control

Livio Rossi, Fabio Volpe

e-GEOS spa, Italy


Wide-Area Mapping Of Invasive Species Spread And Containment Zones In Somaliland Using Phenometric Trends From MODIS Time-Series Data

Tobias Landmann1, Olena Dubovyk2, Gohar Ghazaryan2, Jackson Kimani1, Elfatih Abdel-Rahman1

1: International Centre of Insect Physiology and Ecology, Kenya; 2: Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn, Germany


LanCovEU: a platform for Land Coverage in Europe

Maria Antonia Brovelli, Fernando Cesar Fahl, Monia Elisa Molinari

Politecnico di Milano, Italy


Landscape fragmentation analysis using global LULC datasets and crowdsourcing mapping

Tetyana Kuchma

National University of Kyiv Mohyla Academy, Institute of agroecology, Ukraine


Crop mapping in the Pampas, Argentina. A comparison between Maximum Likelihood and Machine Learning approaches.

Miguel Martín Nolasco1, Carlos Marcelo Scavuzzo2, Monica de Lourdes Bocco1

1: Universidad Nacional de Córdoba (Argentina), Argentine Republic; 2: Comisión Nacional de Actividades Espaciales, Argentine Republic


Rule-Based Framework for Crop Identification Using Temporal and Phenological Metrics: A Multi-Temporal and Multi-Sensor Approach

Gohar Ghazaryan1, Olena Dubovyk1, Fabian Löw2, Mykola Lavreniuk3, Andrii Kolotii3, Jürgen Schellberg1,4, Nataliia Kussul3

1: Center for Remote Sensing of Land Surfaces, University of Bonn; 2: MapTailor Geospatial Consulting GbR; 3: Space Research Institute of National Academy of Sciences of Ukraine and State Space Agency of Ukraine; 4: Institute of Crop Science and Resource Conservation (INRES), University of Bonn


SPOT World Heritage : images from the past for time series

Julien Nosavan

CNES, France


A Fractal Perspective of urban expansion magnitude analysis based on multi-resolution images

Chunzhu WEI, Thomas Blaschke

university of salzburg, Austria


Land cover mapping in the framework of the FLOWERED project in the study areas of Tanzania, Kenya and Ethiopia.

Maria Teresa Melis1, Francesco Gabriele Dessì1, Stefania Da Pelo1, Giorgio Ghiglieri1, Claudio La Mantia2, Paolo Loddo2, Anna Maria Deflorio2

1: Università degli Studi di Cagliari, Italy; 2: Planetek Italia Srl


Sentinel-1 Forest Land Cover Classification and Forest Change of the Mai-Ndombe District,D.R. Congo

Jörg Haarpaintner1, André Mazinga2, Landing Mane2

1: Norut - Northern Research Institute, Norway; 2: OSFAC - Observatoire Satellital des Forêts d'Afrique Centrale


Using Landsat Data to Identify the “Forest/Nonforest” Border for the Last Two Decades in South-Central Siberia

Evgeny G. Shvetsov, Elena I. Parfenova, Nadezhda M. Tchebakova

Institute of Forest SB RAS, Russian Federation


LACO-Wiki: An Online Tool for the Validation of Land Cover at Global, Regional and Local Scales

Linda See1, Christoph Perger1, Christopher Dresel1, Juan Carlos Laso Bayas1, Steffen Fritz1, Dmitry Schepaschenko1, Juergen Weichselbaum2

1: International Institute for Applied Systems Analysis (IIASA), Austria; 2: GeoVille Information Systems GmbH, Austria


Maximising Spatial and Temporal Resolution: the Daily Worldwide 5m Coverage of the UrtheDaily Constellation

Fabrizio Pirondini

Deimos Imaging, Spain


Estimation of land use change and building heights from 1966 to 2015 in Yangon by Corona, Landsat, Geoeye and VIIRS nighttime light images

Wataru Takeuchi1, Tanakorn Sritarapipat1, Sao Hone Pha2

1: The University of Tokyo, Japan; 2: Yangon Technological University, Myanmar


Global rice paddy and crop calendar mapping with sub-pixel land cover characterization

Wataru Takeuchi1, Kei Oyoshi2

1: The University of Tokyo, Japan; 2: Japan Aerospace Exploration Agency, Japan


Landcover mapping north of the treeline

Annett Bartsch1, Angelika Höfler1, Christine Kroisleitner1, Anna Maria Trofaier2, Barbara Widhalm1

1: Zentralanstalt für Meteorologie und Geodynamik, Austria; 2: UNIS, Norway


Sentinel-1 versus Sentinel-2 for tundra shrub mapping

Annett Bartsch1, Angelika Höfler1, Barbara Widhalm1, Marina Leibmann2, Artem Khomutov2, Yuri Dvornikov2

1: Zentralanstalt für Meteorologie und Geodynamik, Austria; 2: Earth Cryosphere Institute, Russian Academy of Sciences, Tyumen, Russia


An Object-Oriented Method to Assess Semantic Similarity between LCML based Legends

Antonio DiGregorio1, Nicola Mosca2, Enrico Boldrini3, Simone Maffei1, Palma Blonda3

1: FAO Consultant; 2: CNR-ISSIA, Italy; 3: CNR_IIA, Italy


Land Cover Classification using Sentinel-2 Data

Florin Andrei Georgescu1,2, Corina Vaduva1, Mihai Datcu1,3

1: Politehnica University of Bucharest, Bucharest, 011061, Romania; 2: Military Technical Academy, Bucharest, 050141, Romania; 3: Deutsches Zentrum für Luft-und Raumfahrt (DLR), Oberpfaffenhofen, D-82234 Wessling, Germany


Use of Sentinel-1 Polarimetric backscatter and Sentinel-2 spectral signatures for lava flow land cover type differentiation in Mt. Etna, Sicily

Aikaterini Karagiannopoulou1, Olga Sykioti2, Issaak Parcharidis1, Salvatore Giammanco3, Pierre Briole4

1: Harokopio University, Athens, Greece; 2: Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece,; 3: National Institute of Geophysics and Volcanology, Rome, Italy,; 4: Centre National de la Recherche Scientifique Ecole Normale Superieure, Paris, France,


The Challenge of multi-source, multi-temporal, multi-resolution Satellite Data for Forest Degradation Mapping

Rene Griesbach1, Pablo Rosso1, Gideon Okpoti Tetteh1, Eliakim Hamunyela2

1: Planet Labs Germany GmbH, Germany; 2: Wageningen University, Netherlands


Sentinels synergy for seasonal agricultural crop mapping

Silvia Valero, Milena Planells, Alexandre Bouvet, Stephane Mermoz, Eric Ceschia, Gerard Dédie

CESBIO, France


Atmospheric correction of Sentinel 2 images for time series usage in agriculture

Fabio Volpe, Pasquale Pistillo, Marco Corsi, Massimo Zavagli, Maria Lucia Magliozzi

e-geos, Italy


A Sampling Approach for Advanced Multi-Temporal Classification of Sentinel-2 Data

Elke Kraetzschmar1, Peter Hofmann1, Stanisław Lewiński2, Artur Nowakowski2, Marcin Rybicki2, Ewa Kukawska2, Radosław Malinowski2, Michal Krupinski2, Conrad Bielski3, Denise Dejon4, Diego Fernandez Prieto5

1: IABG, Germany; 2: Space Research Centre (CBK PAN), Poland; 3: EOXPLORE UG, UK; 4: Friedrich Schiller University, Germany; 5: ESA-ESRIN, Italy


Towards Automatic Global Land Cover Classification On Sentinel-2 Data

Stanisław Lewinski1, Artur Nowakowski1, Marcin Rybicki1, Ewa Kukawska1, Radosław Malinowski1, Michał Krupiński1, Elke Krätzschmar2, Peter Hofmann2, Conrad Bielski3, Denise Dejon4, Diego Fernández Prieto5

1: Space Research Centre of Polish Academy of Science, Poland; 2: Industrieanlagen-Betriebsgesellschaft mbH; 3: EOXPLORE UG; 4: Friedrich-Schiller-Universität Jena; 5: ESA-ESRIN


Inventory and Assessment of Global and Regional Data Bases related to Water Bodies for Training and Validation purposes

Herve YESOU1, Mathias STUDER1, Sadri HAOUET1, Alain GIROS2, Melanie VELTEN1, Jerome Maxant1, Robin FAIVRE1, Alice ANDRAL2, Nadine THOLEY1

1: ICube-SERTIT, UNISTRA, France; 2: CNES, Toulouse, France


The value of combined intra-annual time series from Sentinel-2 and Landsat for crop type and land cover mapping

Patrick Griffiths1, Patrick Hostert1,2

1: Geography Department, Humboldt Universität zu Berlin, Berlin, Germany; 2: Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Berlin, Germany


Large Scale Crop Classification Using Deep Learning Approach

Nataliia Kussul1, Mykola Lavreniuk2, Andrii Shelestov2, Alexei Novikov2, Bohdan Yailymov1

1: Space Research Institute, Ukraine; 2: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”


Global Land Cover Products Validation and Inter-comparison in South Central and Eastern Europe

Jana Albrechtova1, Ioannis Manakos2, Petya Campbell3, Mihai Nita4, Lucie Kupkova1, Konstantinos Karantzalos5, Garik Gutman6

1: Charles University, Faculty of Science, Czech Republic; 2: Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece; 3: Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, MD, USA; 4: Faculty of Forestry, University of Transylvania, Brasov, Romania; 5: Remote Sensing Laboratory, National Technical University of Athens, Greece; 6: National Aeronautics and Space Administration, Washington, DC, USA


Opportunities and challenges for monitoring European forest disturbance dynamics

Dirk Pflugmacher1, Cornelius Senf1, Zhiqiang Yang2, Cohen Warren2, Hostert Patrick1

1: Humboldt-University of Berlin, Germany; 2: Oregon State University, United States


Remote sensing for the wise use of wetlands: 25 years of landscape changes in the Kilombero floodplain, Tanzania.

Javier Muro1, Adrian Strauch1, Ander Lopez1, Frank Thonfeld1,2, Stefanie Steinbach2, John Truckenbrodt3

1: ZFL Center for Remote Sensing of Land Surfaces, Germany; 2: Remote Sensing Research Group, Germany; 3: University of Jena


Remote Sensing of Arid Wetlands: An Overview of Methods for Optical Satellite Imagery Application in Combination with Hydrological Data

Maria Vladimirovna Kozlova1, Olga Vladimirovna Gorelits1, Alexander Vladimirovich Kozlov2, Muhammad Hasan Ali Baig3, Igor Vladimirovich Zemlianov1

1: N.N. Zubov State Oceanographic Institute, Information Support Department, Russian Federation; 2: Lomonosov Moscow State University, Navigation and Control Lab, Moscow, Russian Federation; 3: Institute of Geo-Information & Earth-Observation (IGEO) PMAS Arid Agriculture University Rawalpindi, Pakistan


Mapping forest stand composition with use of Sentinel-2A multitemporal data

Ewa Grabska, Anna Zielonka, Katarzyna Ostapowicz

Jagiellonian University, Poland


Automated Derivation of Land Use and Land Cover Based on Landsat Time-series and Open Geodata

Patrick Leinenkugel, Benjamin Mack, Juliane Huth, Claudia Künzer

German Aerospace Center (DLR), Earth Observation Center (EOC), German Remote Sensing Data Center (DFD)


CadasterENV Sweden- New National Land Cover data with a focus on Change and Landscape Analysis

Camilla Jönsson1, Mats Rosengren1, Marc Paganini2, Carl Gilljam1, Sandra Wennberg1

1: Metria AB, Sweden; 2: ESA, ESRIN, Italy


The ESA Research and Service Support : providing tools for Sentinels data exploitation

Jose Manuel Delgado Blasco1,2, Roberto Cuccu1,2, Daniele De Vecchi3,4, Giovanni Sabatino1,2, Giancarlo Rivolta1,2

1: ESA Research and Service Support, via Galileo Galilei, 1, 00044 Frascati (Italy); 2: Progressive Systems Srl, Parco Scientifico di Tor Vergata, 00133 Roma (Italy); 3: University of Pavia, Corso Str. Nuova, 106/c, 27100 Pavia, Italia; 4: Eucentre, Via Adolfo Ferrata, 1, 27100 Pavia, Italia


Improved Space-based Remote Sensing for Land Cover Mapping; Towards A Sustainable Expansion of the bio-ethanol sector in Brazil

Ramses Molijn1, Lorenzo Iannini1, Rubens Lamparelli2, Ramon Hanssen1

1: Delft University of Technology - the Netherlands; 2: NIPE/UNICAMP - Brazil


Mapping of Framing Calendar Dates and Duration of the Growing Seasons in Russian Subarctic

Evgeny Panidi1, Valery Tsepelev2

1: Saint Petersburg State University, Russian Federation; 2: Russian State Hydrometeorological University, Russian Federation


The impact of land cover map quality on spatial land-use mapping of carbon sequestration and competing land-use objectives

Rebekka Hüfner

Universität Kassel, Germany


Vegetation Mapping in European Outermost Regions by using Rapideye high-resolution multispectral imagery - the case study of Madeira Island (Portugal)

Andrea Massetti1, Miguel Sequeira2, Artur Gil3

1: Monash University, Australia; 2: University of Madeira, Portugal; 3: University of the Azores, Portugal


Land Cover and Land Use Mapping According to Latvian User Needs Using Sentinel-2 Data

Dainis Jakovels, Agris Brauns, Jevgenijs Filipovs, Juris Taskovs, Gatis Erins

Institute for Environmental Solutions, Latvia


Utility of local and global maps for improving estimates of forest area in north and north-east Armenia.

Andrew Haywood1,2,3, Hovik Sayadyan4

1: Royal Melbourne Institutute of Technology, Australia; 2: Melbourne University, Australia; 3: European Forest Institute; 4: Armenian State Agrarian University


Hybrid land cover of Russia - 2010

Olha Danylo1, Dmitry Schepaschenko1,2, Anatoly Shvidenko1, Myroslava Lesiv1, Martina Dürauer1

1: International Institute for Applied Systems Analysis, Austria; 2: Bauman Moscow State Technical University, Russia


Assessment and Monitoring of Grasslands in Latvia: Exploring the Capabilities of Sentinel-1 Radar and Sentinel-2 Optical Data

Dainis Jakovels1, Agris Brauns1, Jevgenijs Filipovs1, Juris Taskovs1, Gatis Erins1, Roberts Rotbergs1, Karlis Zalite2,3,4

1: Institute for Environmental Solutions, Latvia; 2: KappaZetta Ltd., Estonia; 3: Tartu Observatory, Estonia; 4: Lund University, Sweden


Land Use/Land Cover (LULC) change detection assessment using OLI/ETM+ imagery in Nazlu basin, Iran

Edith Eishoeei, Mirhassan Miryaghoubzadeh

Urmia University, Iran, Islamic Republic of


Methods and Algorithms for Feature Extraction and Semantic Analysis of Very High Resolution Polarimetric Synthetic Aperture Radar Images

Radu Tanase1, Mihai Datcu2,1

1: University POLITEHNICA of Bucharest; 2: German Aerospace Center


Estimating Forest Aboveground Biomass Using Sentinel 1 and 2 Data: The Case Study From The Polish Carpathians

Anna Maria Zielonka, Ewa Grabska, Marek Drewnik, Katarzyna Ostapowicz

Jagiellonian University, Institute of Geography and Spatial Management, Poland


A Review of existing Geo-Databases for Human Settlements Characterization in the Framework of Global Scale Risk Analysis

Nadine THOLEY1, Mathias STUDER1, Stephanie BATTISTON1, Myldred MONTABORD1, Nathalie FUENTES2

1: ICUBE-SERTIT, Université de Strasbourg, France; 2: CNES, Toulouse, France


Urban atlas data: a source of information about the dynamics of urbanised landscapes (example of Prague and Bratislava)

Premysl Stych1, Robert Pazur2,3, Jan Feranec2, Monika Kopecka2, Lucie Kupkova1, Ondrej Micek1, Lukas Holman1

1: Faculty of Science, Charles University, Albertov 6, 128 43 Prague 2, Czechia; 2: Institute of Geography, Slovak Academy of Sciences, Štefánikova 49, 814 73 Bratislava, Slovakia; 3: Swiss Federal Research Institute, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland


Adding Details to Urban Land Cover: Local Climate Zones as a Mapping Paradigm within the World Urban Database and AccessPortal Tools (WUDAPT) Initiative

Linda See1, Benjamin Bechtel2, Gerald Mills3, Michael Foley3, Jason Ching4, Valéry Masson5, Nathalie Theeuwes6, Oscar Brousse7, Johannes Feddema8, Iain Stewart9

1: International Institute for Applied Systems Analysis (IIASA), Austria; 2: University of Hamburg, Germany; 3: University College Dublin, Ireland; 4: University of North Carolina, Chapel Hill, USA; 5: Météo France, France; 6: University of Reading, UK; 7: University of Leuven, Belgium; 8: University of Victoria, Canada; 9: University of Toronto, Canada


The deployment of a high resolution mapping for territorial planning application in the context of the NextGEOSS project

Nuno Grosso1, David Petit2, Paula Martí2, Nuno Catarino1

1: Deimos Engenharia, Portugal; 2: Deimos Space UK


Comparing Land Cover Maps derived from all annual Landsat-8 and Sentinel-2 Data at Different Spatial Scales

Christina Karakizi, Konstantinos Karantzalos

Remote Sensing Laboratory, National Technical University of Athens


Land Cover Change Detection Using a Relevance Feedback System

Alexandru-Cosmin Grivei1, Anamaria Radoi1, Mihai Datcu1,2

1: University Politehnica of Bucharest, Romania; 2: Remote Sensing Technology Institute, German Aerospace Center (DLR), 82234 Oberpfaffenhofen, Germany


Automatic update of land cover maps using satellite data and neural networks

Fabio Del Frate1, Francesco Carbone2, Matteo Picchiani1, Daniele Latini2, José Manuel Delgado Blasco3,4, Roberto Cuccu3,4, Giovanni Sabatino3,4, Giancarlo Rivolta3,4

1: University of Tor Vergata, Italy; 2: GEO-K Srl; 3: Progressive Systems Srl; 4: ESA Research and Service Support


Towards near daily update of land cover dynamics in global surface type products from VIIRS

Chengquan Huang1, Rui Zhan1, Panshi Wang1, Xiwu Zhan2, Ivan Csiszar2

1: University of Maryland, United States of America; 2: NOAA-NESDIS Center for Satellite Applications and Research, United States of America


Prediction of forest variables with Sentinel-2, Sentinel-1 and Suomi NPP satellite data to estimate carbon fluxes in boreal forest

Tuomas Häme1, Laura Sirro1, Heikki Astola1, Yrjö Rauste1, Jussi Rasinmäki2, Mohammad Imangholiloo2, Francesco Minunno3, Annikki Mäkelä3

1: VTT Technical Research Centre of Finland Ltd., Finland; 2: Simosol Oy; 3: University of Helsinki


Ultra-high resolution sampling with UAVs for optimising fractional woody cover characterisations in dryland savannahs

Elias Symeonakis1, Konstantinos Karantzalos2, Panagiotis Zervos2, Klaus Kellner3

1: Manchester Metropolitan University, United Kingdom; 2: National Technical University of Athens, Greece; 3: North-West University


Validation of Forest Cover Products on the Territory of Bulgaria

Lachezar Hristov Filchev

Space Research and Technology Institute, Bulgarian Academy of Sciences (SRTI-BAS), Bulgaria


Classification of tundra vegetation in the Krkonoše Mts. National Park using multispectral and hyperspectral image data

Lucie Kupková, Lucie Červená, Renáta Suchá, Lucie Jakešová, Jana Albrechtová

Charles University in Prague, Czech Republic


Landsense: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring

Inian Moorthy, Steffen Fritz, Linda See, Ian McCallum

International Institute for Applied Systems Analysis (IIASA), Austria


Combine Time Series Analysis of AVHRR, MODIS and Sentinel satellite images for better estimation of Vegetation Trend Indexes in arid and semi-arid zones of Central Asia.

Dildora Aralova

Dresden University of Technology, Germany


Combining expert-based and crowdsourcing approaches in a two-tier sampling design for validation: global experimental results for cropland maps

François Waldner1, Raphaël d'Andrimont1, Thomas De Maet1, Anne Schucknecht2, Javier Gallego2, Ana Perez-Hoyos2, Olivier Leo2, Myroslava Lesiv3, Steffen Fritz3, Martina Duerauer3, Linda See3, Juan Carlos Laso-Bayas3, Pierre Defourny1

1: UCLouvain, Belgium; 2: Joint Research Center, Ispra, Italy; 3: IIASA, Laxenburg, Austria


Spatial Region Data Model For 10 m Land Cover Mapping Dedicated To Biodiversity Research

Julien Radoux1, Jessica Delangre2, Pierre Defourny1

1: Université catholique de Louvain, Belgium; 2: Université de Liège, Belgium


Can We Avoid Mixed Pixels Bias In Validation Of Land Cover Maps Derived From High Resolution Data ?

Julien Radoux, Patrick Bogaert, Sophie Bontemps, Eric Van Bogaert, Pierre Defourny

Université catholique de Louvain, Belgium


Derivation of a circa-2010 Global Man-made Impervious Surface (GMIS) Dataset from Landsat

Chengquan Huang1, Eric Brown de Colstoun2, Panshi Wang1, Bin Tan3, James Tilton2

1: University of Maryland, United States of America; 2: NASA Goddard Space Flight Center, United States of America; 3: SCIENCE SYSTEMS AND APPLICATIONS INC., United States of America


Operational Aspects of Producing Consistent Quality Land Cover Maps from High and Medium Resolution Sensor Data

Martin Boettcher1, Thomas de Maet2, Olivier Arino3, Carsten Brockmann1, Pierre Defourny2, Fabrizio Ramoino3

1: Brockmann Consult GmbH, Germany; 2: Université catholique de Louvain, Belgium; 3: ESA ESRIN, Italy


Mapping secondary forest succession on abandonment agricultural lands using Sentinel 2 multitemporal data

Katarzyna Anna Ostapowicz, Ewa Grabska, Anna Zielonka

Jagiellonian University, Poland


Sentinel-1 SAR time series for regional cropland mapping

Xavier Blaes, Guillaume Chome, Francois Waldner, Pierre Defourny

UCL-Geomatics, Belgium


The LULUCF component of the EDGAR global emissions database

Simone Rossi, Raul Abad-Vinas, Monica Crippa, Diego Guizzardi, Mihaela Miclaus, Sandro Federici, Greet Janssens-Maenhout, Giacomo Grassi

European Commission Joint Research Centre


Comparison and Validation of Freely Available Land Cover Products Over North-western Morocco

Mohamed IKSSI

Unisersité Abdelmalek Essadi - Faculté des Sciences de Tétouan, Morocco


Land Use Classification in Traditional Agricultural Areas Using Time-Series Remote Sensing Datasets and Rotation Forest Ensemble Algorithm

Soheil Radiom1, Davoud Ashourloo1,2, Hamid Salehi Shahrabi1, Ali Parto1

1: Remote Sensing Department, Iranian Space Research Center (ISRC), Tehran, Iran, Islamic Republic of; 2: Remote Sensing Center, Shahid Beheshti University, Tehran, Iran, Islamic Republic of


Monitoring land cover changes in and around protected area from local to global scale: An ESA CCI land cover mapping experience

Dorit Gross1,2, Grégoire Dubois2, Andrea Mandrici2, Lucy Bastin2, Luca Battistella2

1: Wageningen University & Research, Netherlands, The; 2: European Commission, Joint Research Centre, Italy


Optimisation of Regional Scale Woody Vegetation Cover Mapping with Optical, Thermal and Radar Data

Elias Symeonakis1, Kyriaki Petroulaki1, Thomas Higginbottom1, Ángel Marqués-Mateu2

1: Manchester Metropolitan University, United Kingdom; 2: Universitat Politècnica de València


Mapping Croplands over Large Areas Using Landsat Data and a Generalized Classifier

Mutlu Ozdogan1, Aparna Phalke1, Prasad Thenkabail2

1: University of Wisconsin-Madison, Madison WI, US; 2: USGS Flagstaff, AZ USA


A European Contribution to Comparable Global Land Cover and Land Use Systems

Stephan Arnold1, Geir Strand2, Geoff Smith3, Roland Grillmayer4, Gebhard Banko4, Michael Bock5

1: DESTATIS Germany; 2: NIBIO Norway; 3: Specto Natura UK; 4: UBA Austria; 5: DLR Germany


Development of a New Harmonized Land Cover/Land Use Dataset for Agricultural Monitoring in Africa

Ana Pérez-Hoyos, Felix Rembold, Javier Gallego, Anne Schucknecht, Michele Meroni, Hervé Kerdiles, Olivier Leo, Francois Kayitakire

Joint Research Center, Ispra, Italy


Socioecological Carbon Production in Managed Agricultural-Forest Landscapes

Jiquan Chen, Kyla Dahlin, Ranjeet1, John Phil Robertson2, Steve Hamilton3, David Lusch4, Lauren Cooper5, Arnon Karnieli6, Raffaele Lafortezza7, Giovanni Sylos Labini8

1: CGCEO/Geography, Michigan State University; 2: GLBRC/KBS; 3: LTER/KBS; 4: RS/GIS, MSU; 5: MSU; 6: Ben GurionUniv, Israel; 7: UNIBA; 8: Planetek


National Scale Land-Cover / Land-Use Change Modelling for Sustainable Risk Management

Nathalie Stephenne1, Benjamin Beaumont1, Lien Poelmans2, Eric Hallot1

1: Remote Sensing & Geodata Unit, ISSeP, 200 rue du Chéra, 4000 Liège, Belgium; 2: Environmental Modelling Unit, VITO, 200, Boerentang, 2400 Mol, Belgium


10m SENTINEL-2 Composite - Cloud-free Southern Africa 2016

Fabrizio Ramoino1, Florin Tutunaru2, Fabrizio Pera1, Olivier Arino3

1: Serco, Italy; 2: CS, Romania; 3: ESA

Date: Wednesday, 15/Mar/2017
2.1: Global/Continental LC Products
Mtg. Room: Big Hall
Chair: Pierre Defourny, UCLouvain-Geomatics
Chair: Jun Chen, National Geomatics Center of China

Consistent 1992-2015 global land cover time series at 300 m thanks to a state-of-the-art reprocessing of multi-mission archives

Pierre Defourny1, Sophie Bontemps1, Céline Lamarche1, Carsten Brockmann2, Grit Kirches2, Martin Boettcher2, Julien Radoux1, Thomas De Maet1, Eric Vanbogaert1, Paolo Gamba3, Goran Georgievski4, Martin Herold5, Stefan Hagemann4, Andrew Hartley6, Gianni Lisini3, Natasha MacBean7, Inès Moreau1, Catherine Ottlé7, Philippe Peylin7, Maurizio Santoro8, Christiane Schmullius9, Marian Vittek1, Frédéric Achard10, Fabrizio Ramoino11, Olivier Arino11

1: UCLouvain-Geomatics (Belgium), Belgium; 2: Brockmann Consult, Germany; 3: University of Pavia, Italy; 4: Max Planck Institute, Germany; 5: Wageningen University, The Netherlands; 6: Met Office, United Kingdom; 7: Laboratoire des Sciences du Climat et de l'Environnement, France; 8: Gamma RS, Switzerland; 9: Jena University, Germany; 10: Joint Research Center, Italy; 11: European Space Agency, Italy

The Dynamic Global Land Cover Layer at 100m Resolution from Copernicus Global Land

Marcel Buchhorn1, Ruben Van De Kerchove1, Martin Herold2, Nandika Tsendbazar2, Jan Verbesselt2, Steffen Fritz3, Myroslava Lesiv3, Bruno Smets1

1: VITO, Belgium; 2: University of Wageningen, Wageningen, the Netherlands; 3: International Institute for Applied Systems Analysis, Laxenburg, Austria

Validation and Change detection-based Updating of GlobeLand30

Jun Chen

National Geomatics Center of China, China, People's Republic of

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

Céline Lamarche1, Pierre Defourny1, Frédéric Achard2, Martin Boettcher3, Carsten Brockmann3, Grit Kirches3, Thomas De Maet1, Julien Radoux1, Jan Militzer3, Maurizio Santoro4, Goran Georgievski5, Stefan Hagemann5, Martin Herold6, Andrew Hartley7, Natasha MacBean8, Catherine Ottlé8, Philippe Peylin8, Inès Moreau1, Christiane Schmullius9, Marian Vittek1, Fabrizio Ramoino10, Olivier Arino10

1: UCLouvain-Geomatics (Belgium), Belgium; 2: Joint Research Center, Italy; 3: Brockmann Consult, Germany; 4: Gamma RS, Switzerland; 5: Max Planck Institute, Germany; 6: Wageningen University, The Netherlands; 7: Met Office, United Kingdom; 8: Laboratoire des Sciences du Climat et de l'Environnement, France; 9: Jena University, Germany; 10: European Space Agency, Italy

Coffee Break
Mtg. Room: Big Hall
2.2: Large-scale Mapping of Specific LC
Mtg. Room: Big Hall
Chair: Matthew C. Hansen, University of Maryland
Chair: Frédéric Achard, Joint Research Centre - European Commission

Global Mapping of Human settlement with Sentinel-1 and Sentinel-2 data: Recent developments in the GHSL

Christina Corbane, Martino Pesaresi, Vasileios Syrris, Thomas Kemper, Panagiotis Politis, Pierre Soille, Aneta J. Florczyk, Filip Sabo, Dario Rodriguez, Luca Maffenini, Stefano Ferri

Joint Research Centre, Italy

Mapping urban areas globally by jointly exploiting optical and radar imagery – the GUF+ layer

Mattia Marconcini, Soner Üreyen, Thomas Esch, Annekatrin Metz, Julian Zeidler

German Aerospace Center - DLR, Germany

Envisat ASAR and Sentinel-1: a decade of observations exploited to map inland water bodies

Maurizio Santoro1, Oliver Cartus1, Urs Wegmüller1, Andreas Wiesmann1, Penelope Kourkouli1, Celine Lamarche2, Sophie Bontemps2, Pierre Defourny2, Fabrizio Ramoino3, Olivier Arino3

1: GAMMA Remote Sensing, Switzerland; 2: Université catholique de Louvain, Belgium; 3: ESA/ESRIN, Italy

Global scale mapping of the when and where of inland and coastal waters over 32 years at 30m resolution.

Jean-Francois Pekel1, Andrew Cottam1, Noel Gorelick2, Alan Belward1

1: European Commission - Joint Research Centre; 2: Google Earth Outreach

Large Scale decametric Cropland Mapping from Sentinel-2 and Validation: Lessons Learned from 2016 nationwide Demonstration for different Countries

Pierre Defourny1, Sophie Bontemps1, Bellemans Nicolas1, Matton Nicolas1, Cara Cosmin2, Dedieu Gerard3, Hagolle Olivier3, Inglada Jordi3, Guzzonato Eric4, Savinaud Michael4, Udroiu Cosmin2, Grosu Alex2, Rabaute Thierry4, Nicola Laurentiu2, Koetz Benjamin5

1: UCLouvain-Geomatics, Belgium; 2: CS-Romania, Romania; 3: CESBIO, France; 4: CS-France; 5: ESA-ESRIN

Mtg. Room: Canteen
Large-scale Mapping of Specific LC (cont'd)
Mtg. Room: Big Hall

Mapping Paddy Rice in Asia - A Multi-Sensor, Time-Series Approach

Kersten Clauss1, Marco Ottinger1, Wolfgang Wagner2, Claudia Kuenzer3

1: Department of Remote Sensing, Institute of Geography and Geology, University of Wuerzburg, Germany; 2: Department of Geodesy and Geoinformation, Vienna University of Technology, Austria; 3: German Remote Sensing Data Center (DFD), Earth Observation Center (EOC), German Aerospace Center

Mapping disturbances in tropical humid forests over the past 33 years

Christelle Vancutsem, Frédéric Achard

Joint Research Centre (EU), Italy

Mapping forest disturbances in European temperate forests using Landsat time series: Issues of disturbance attribution in coupled human and natural systems

Cornelius Senf1,2, Dirk Pflugmacher1, Rupert Seidl2, Patrick Hostert1,3

1: Geography Department, Humboldt-Universität zu Berlin, Germany; 2: Institute for Silviculture, University of Natural Resources and Life Sciences (BOKU) Vienna, Austria; 3: Integrative Research Institute on Transformation of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Germany

Towards a global high resolution wetland inventory based on optical and radar imagery

Michael Riffler1, Christina Ludwig1, Wolfgang Wagner2, Vahid Naemi2, Christian Tottrup3, Marc Paganini4

1: GeoVille Information Systems, Innsbruck, Austria; 2: Vienna University of Technology (TU Wien), Vienna, Austria; 3: DHI GRAS, Hørsholm, Denmark; 4: European Space Agency, Esrin, Italy

Coffee Break
Mtg. Room: Big Hall
2.3: Classification Systems
Mtg. Room: Big Hall
Chair: John Latham, UN/FAO
Chair: Curtis Woodcock, Boston University

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.

Antonio DiGregorio

FAO Consultatnt

Advances in Copernicus High-Resolution Land Monitoring

Gernot Ramminger1, Juergen Weichselbaum2, Baudouin Desclée3, Regine Richter1, David Herrmann1, Markus Probeck1, Linda Moser1, Christian Schleicher2, Andreas Walli2, Christophe Sannier3

1: GAF AG; 2: GeoVille Information Systems GmbH; 3: Systèmes d’Information à Référence Spatiale (SIRS) SAS

The National Land Cover Database (NLCD): A Successful National Land Change Monitoring System

Jonathan Henry Smith

United States Geological Survey, United States of America

Global to Local Land Cover and Habitat Mapping: The Ecopotential Approach

Richard Lucas1, Palma Blonda2, Ioannis Manakos3, Anthea Mitchell1, Joan Maso4, Cristina Domingo4, Antonello Provenzale2

1: University of New South Wales, Australia; 2: Consiglio Nazionale delle Ricerche, Italy; 3: Centre for Research and Technology Hellas, Greece; 4: Universitat Autonoma de Barcelona, Spain

Assessment of Trends in Ecosystem Health and Condition

Curtis Woodcock

Boston University, United States of America

Round table discussion: Roadmap for High-resolution (10- to 30-meter) WorldCover2017
Mtg. Room: Big Hall
Chair: Stephen Briggs (ESA) Participants: John Latham (UN-FAO), Tobias Langanke (EU-EEA), Matthew Hansen (University of Maryland), Tom Loveland (USGS), Jun Chen (NGCC, China), Christian Hoffmann (EARSC)
2.4: Poster Session - Drink
Mtg. Room: Magellan
Please refer to 1.3 Poster Session for the full list of posters
Date: Thursday, 16/Mar/2017
3.1: Validation and Accuracy
Mtg. Room: Big Hall
Chair: Thomas R. Loveland, U.S.Geological Survey
Chair: Sophie Bontemps, Université catholique de Louvain

Validation of global annual land cover map series and land cover change: experience from the Land Cover component of the ESA Climate Change Initiative

Sophie Bontemps1, Frédéric Achard2, Céline Lamarche1, Philippe Mayaux3, Olivier Arino4, Pierre Defourny1

1: UCLouvain-Geomatics (Belgium), Belgium; 2: Joint Research Center, Italy; 3: European Commission, Belgium; 4: European Space Agency, Italy

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

Christophe Sannier1, Heinz Gallaun2, Javier Gallego3, Ronald McRoberts4, Hans Dufourmont5, Alexandre Pennec1

1: Systèmes d'Information à Référence Spatiale (SIRS), France; 2: Joanneum Research, Austria; 3: Joint Research Centre, Italy; 4: US Forest Service, USA; 5: European Environment Agency, Denmark

Copernicus Global Land Hot Spot Monitoring Service – Accuracy Assessment and Area Estimation Approach

Heinz Gallaun1, Gabriel Jaffrain2, Zoltan Szantoi3, Andreas Brink3, Adrien Moiret2, Stefan Kleeschulte4, Mathias Schardt1, Conrad Bielski5, Cedric Lardeux6, Alex Petre7

1: JOANNEUM RESEARCH, Austria; 2: IGN FI, France; 3: Joint Research Centre (JRC), European Commission; 4: space4environment (s4e), Luxembourg; 5: EOXPLORE, Germany; 6: ONF International, France; 7: GISBOX, Romania

Forest degradation assessment: accuracy assessment of forest degradation products using HR data

Naila Yasmin, Remi D’annunzio, Inge Jonckheere

FAO Forestry Department, FAO of UN, Rome Italy

A New Open Reference Global Dataset for Land Cover Mapping at a 100m Resolution

Myroslava Lesiv1, Steffen Fritz1, Linda See1, Nandika Tsendbazar2, Martin Herold2, Martina Duerauer1, Ruben Van De Kerchove3, Marcel Buchhorn3, Inian Moorthy1, Bruno Smets3

1: International Institute for Applied Systems Analysis, Austria; 2: Wageningen University and Research, the Netherlands; 3: VITO, Belgium

Coffee Break
Mtg. Room: Big Hall
3.2: Methods and Algorithms
Mtg. Room: Big Hall
Chair: Carsten Brockmann, Brockmann Consult GmbH
Chair: Mattia Marconcini, German Aerospace Center - DLR

Sentinel-2 cloud free surface reflectance composites for Land Cover Climate Change Initiative’s long-term data record extension

Grit Kirches1, Jan Wevers1, Olivier Arino2, Martin Boettcher1, Sophie Bontemps3, Carsten Brockmann1, Pierre Defourny3, Olaf Danne1, Tonio Fincke1, Céline Lamarche3, Thomas de Maet3, Fabrizio Ramoino2

1: Brockmann Consult GmbH, Germany; 2: ESA ESRIN, Italy; 3: Université catholique de Louvain, Belgium

Wide area multi-temporal radar backscatter composite products

David Small1, Christoph Rohner1, Adrian Schubert1, Nuno Miranda2, Michael Schaepman1

1: University of Zurich, Switzerland; 2: ESA-ESRIN, Frascati, Italy

Large area land cover mapping and monitoring using satellite image time series

Jan Verbesselt, Nandin-Erdene Tsendbazar, Johannes Eberenz, Martin Herold, Johannes Reiche, Dainius Masiliunas, Eline Van Elburg

Wageningen University, Netherlands, The

Towards a new baseline layer for global land-cover classification derived from multitemporal satellite optical imagery

Mattia Marconcini, Thomas Esch, Annekatrin Metz, Soner Üreyen, Julian Zeidler

German Aerospace Center - DLR, Germany

Advancing Global Land Cover Monitoring

Matthew Hansen

University of Maryland College Park, Department of Geographical Sciences

Mtg. Room: Canteen
3.3: Platforms
Mtg. Room: Big Hall
Chair: Chris Steenmans, European Environment Agency
Chair: Mark Doherty, ESA

Land monitoring integrated Data Access - status and outlook on platforms

Bianca Hoersch1, Susanne Mecklenburg1, Betlem Rosich1, Sveinung Loekken1, Philippe Mougnaud1, Erwin Goor2

1: European Space Agency, Italy; 2: VITO, Belgium

Sentinel-powered land cover monitoring done efficiently

Grega Milcinski

Sinergise, Slovenia

Bringing High Resolution to the Globe – A system for automatic Land Cover Mapping built on Sentinel data streams to fulfill multi-user application requirements

Michael Riffler, Andreas Walli, Jürgen Weichselbaum, Christian Hoffmann

GeoVille Information Systems, Austria

Land Cover data to support a Change Detection system for the Space and Security community

Sergio Albani, Michele Lazzarini, Paulo Nunes, Emanuele Angiuli

European Union Satellite Centre, Spain

Conclusions by Chairs
Mtg. Room: Big Hall

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