Index of Authors

A list of all persons who contribute to the sessions of this conference. Please select a letter below to list all persons with the corresponding surname. Select the presentation in the right-hand column to access session and presentation details.

 
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Author(s) Organisation(s) Contribution Title
Haarpaintner, JörgNorut - Northern Research Institute, NorwaySentinel-1 Forest Land Cover Classification and Forest Change of the Mai-Ndombe District,D.R. Congo
Haeusler, ThomasGAF AG, GermanyNational Forest and Land Use Monitoring in Africa Countries: Cameroon and Malawi
Hagemann, StefanMax Planck Institute, GermanyConsistent 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
Uncertainty in Land Cover observations and its impact on climate simulations
Hagolle, OlivierCentre d’Etudes Spatiales de la BIOsphère, Université de Toulouse, FranceSentinel-2 for Agriculture: Synergy of Sentinel-2 and Landsat 8 for supporting operational national and global crop monitoring
Hahmann, AndreaDTU, DenmarkOn the spatial and temporal resolution of land cover products for applied use in wind resource mapping
Hallot, EricRemote Sensing & Geodata Unit, ISSeP, 200 rue du Chéra, 4000 Liège, BelgiumNational Scale Land-Cover / Land-Use Change Modelling for Sustainable Risk Management
Häme, TuomasVTT Technical Research Centre of Finland Ltd., FinlandPrediction of forest variables with Sentinel-2, Sentinel-1 and Suomi NPP satellite data to estimate carbon fluxes in boreal forest
Hamilton, SteveLTER/KBSSocioecological Carbon Production in Managed Agricultural-Forest Landscapes
Hamunyela, EliakimWageningen University, NetherlandsThe Challenge of multi-source, multi-temporal, multi-resolution Satellite Data for Forest Degradation Mapping
Hanowski, NicolausESAWelcome Address
Hansen, MatthewUniversity of Maryland, USA;
University of Maryland College Park, Department of Geographical Sciences
Linking land cover and biodiversity through the GEOBON Ecosystem Structure Working Group
Advancing Global Land Cover Monitoring
Hanssen, RamonDelft University of Technology - the NetherlandsImproved Space-based Remote Sensing for Land Cover Mapping; Towards A Sustainable Expansion of the bio-ethanol sector in Brazil
HAOUET, SadriICube-SERTIT, UNISTRA, FranceInventory and Assessment of Global and Regional Data Bases related to Water Bodies for Training and Validation purposes
Hartley, AndrewMet Office, United Kingdom;
Met Office Hadley Centre, United Kingdom
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
Uncertainty in satellite-derived land cover information and its impact on land surface models
Hasager, CharlotteDTU, DenmarkOn the spatial and temporal resolution of land cover products for applied use in wind resource mapping
Hascic, IvanOrganisation for Economic Co-operation and Development (OECD)Towards a New Philosophy for Generating Land Cover Products
Using Earth Observation and Other Geospatial Data to Improve OECD\'s Environmental and Green Growth Indicators and Its Policy Guidance
Haywood, AndrewRoyal Melbourne Institutute of Technology, Australia;
Melbourne University, Australia;
European Forest Institute
Utility of local and global maps for improving estimates of forest area in north and north-east Armenia.
Hemp, AndreasUniversity of Bayreuth, Department of Plant Systematics, GermanyGlobal-scale Auxiliary Variables Improve overall Accuracy of Regional Land Use / Land Cover Classification in Heterogenous Savanna Ecosystems
Herold, MartinWageningen University, The Netherlands Global Mapping of Forest Carbon Stocks using Spaceborne Radar
A New Open Reference Global Dataset for Land Cover Mapping at a 100m Resolution
Consistent 1992-2015 global land cover time series at 300 m thanks to a state-of-the-art reprocessing of multi-mission archives
Large area land cover mapping and monitoring using satellite image time series
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
Monitoring and Assessing Land Use: Progress for Land System Science through Climate Change Research and SDGs
Spatial uncertainties and integration of global land cover maps
The Dynamic Global Land Cover Layer at 100m Resolution from Copernicus Global Land
The Role of Land Cover and Land Use Change Datasets to Support the Sustainable Development Goals
Towards a New Philosophy for Generating Land Cover Products
Herrmann, DavidGAF AGAdvances in Copernicus High-Resolution Land Monitoring
Higginbottom, ThomasManchester Metropolitan University, United KingdomOptimisation of Regional Scale Woody Vegetation Cover Mapping with Optical, Thermal and Radar Data
Hirner, AndreasGerman Aerospace Center (DLR) – German Remote Sensing Data Center (DFD)Sentinel-based Evolution of Copernicus Land Services on Continental and Global Scale
Hoersch, BiancaEuropean Space Agency, ItalyLand monitoring integrated Data Access - status and outlook on platforms
Sentinel-2 Mission Status
Hoffmann, ChristianGeoVille Information Systems, AustriaBringing High Resolution to the Globe – A system for automatic Land Cover Mapping built on Sentinel data streams to fulfill multi-user application requirements
Höfler, AngelikaZentralanstalt für Meteorologie und Geodynamik, AustriaLandcover mapping north of the treeline
Sentinel-1 versus Sentinel-2 for tundra shrub mapping
Hofmann, PeterIABG, Germany;
Industrieanlagen-Betriebsgesellschaft mbH
A Sampling Approach for Advanced Multi-Temporal Classification of Sentinel-2 Data
Towards Automatic Global Land Cover Classification On Sentinel-2 Data
Holman, LukasFaculty of Science, Charles University, Albertov 6, 128 43 Prague 2, CzechiaUrban atlas data: a source of information about the dynamics of urbanised landscapes (example of Prague and Bratislava)
Hone Pha, SaoYangon Technological University, MyanmarEstimation of land use change and building heights from 1966 to 2015 in Yangon by Corona, Landsat, Geoeye and VIIRS nighttime light images
Hoshino, BuhoRakuno Gakuen University, JapanRemote sensing method for quantification of ground surface changes and environmental regime shifting in Semi-arid region
Hostert, PatrickGeography Department, Humboldt-Universität zu Berlin, Germany;
Integrative Research Institute on Transformation of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Germany
Mapping forest disturbances in European temperate forests using Landsat time series: Issues of disturbance attribution in coupled human and natural systems
Monitoring and Assessing Land Use: Progress for Land System Science through Climate Change Research and SDGs
The value of combined intra-annual time series from Sentinel-2 and Landsat for crop type and land cover mapping
Huang, ChengquanUniversity of Maryland, United States of AmericaDerivation of a circa-2010 Global Man-made Impervious Surface (GMIS) Dataset from Landsat
Towards near daily update of land cover dynamics in global surface type products from VIIRS
Huettich, ChristianJena-Optronik GmbH, GermanySWOS: Partnership improving Wetlands Knowledge and Conservation through Earth Observation Monitoring
VecBorn: Mapping risk areas of Buruli Ulcer through monitoring of water dynamics
Hüfner, RebekkaUniversität Kassel, Germany The impact of land cover map quality on spatial land-use mapping of carbon sequestration and competing land-use objectives
Hummel, ChristiaanRoyal Netherlands Institute for Sea Research Department of Estuarine and Delta Studies Yerseke The NetherlandsAnalysis of Protected Areas: The Use of Satellite Images for Data Mining within ECOPOTENTIAL
Hummel, HermanRoyal Netherlands Institute for Sea Research Department of Estuarine and Delta Studies Yerseke The NetherlandsAnalysis of Protected Areas: The Use of Satellite Images for Data Mining within ECOPOTENTIAL
Hurskainen, Pekka JuhaniUniversity of Helsinki, Department of Geosciences and Geography, FinlandGlobal-scale Auxiliary Variables Improve overall Accuracy of Regional Land Use / Land Cover Classification in Heterogenous Savanna Ecosystems
Huth, JulianeGerman 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
 
 
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