| Name | Surname | Company | Abstract Title | Topic ID |
| M. | Schardt | JOANNEUM RESEARCH | EUFODOS - European Forest Downstream Services, Improved Information on Forest Structure and Damage- | Forestry |
| J. | Hill | University of Trier | Perspectives of integrating Multitemporal and Multisensor Remote Sensing Data for providing Improved Forest Inventory Parameter- | Forestry |
| FM | Seifert | ESA | Systematic Observations of our Forests - Achievements and Strategy of CEOS to support GEO FCT and GFOI - | Forestry |
| H. | Poilve | Astrium GEO-Information Services | Use of Sentinel-2 Data for Global Forest Monitoring and the REDD Programme | Forestry |
| I. | Jonckheere | FAO | The Role of Satellite Data for the National Forest Monitoring Systems in the Context of REDD+- | Forestry |
| I. | Ozdemir | Suleyman Demirel University, Forestry Faculty | Mapping Forest Stand Structural Diversity Using RapidEye Satellite Data- | Forestry |
| A. | Rappl | Bavarian State Institute of Forestry (LWF) | Reduction of Forest Inventory Plots by applying RapidEye Data Stratification - | Forestry |
| A. | Elatawneh | Technische Universität München | A Comparison between monotemporal Hyperspectral and multiseasonal Multispectral Image Analysis for Forest Parameters Extraction | Forestry |
| F. | Fassnacht | University of Freiburg | A New Type of Vegetation Index for Forest Damage Detection from Imaging Spectroscopy Data | Forestry |
| G. | Galidaki | Aristotle University of Thessaloniki | Forest Species Differentiation and Mapping using EO-1 Hyperion Imagery | Forestry |
| M. | Dees | University of Freiburg | Fast Mapping of large Scale biotic and Weather caused Forest Damages- | Forestry |
| A. K. | Gjertsen | Norwegian Forest and Landscape Institute | A new Forest Map of Norway based on Satellite Images - | Forestry |
| M. | Bachmann | DLR | Requirements for and potential of Sentinel-2 for Regional Applications | Land Cover |
| Tim | Buchholz | ESA | On the Effectiveness of Sentinel-2 Data for Land-cover Mapping:
Comparison with Landsat and SPOT Imagery | Land Cover |
| J. | Reiche | Wageningen University | Concepts and processing Techniques for a global Sentinel 1- 3 Land Cover Dynamics and Change (LCDC) Product | Land Cover |
| G. | Kirches | Brockmann Consult GmbH | LandCover CCI Pre-Processing- | Land Cover |
| E. | Järvenpää | Finnish Environment Institute | Integration of GIS Datasets and EO Data in Land Cover Production- | Land Cover |
| M. | Paganini | ESA | Sentinel 2, an essential Tool of the International Environmental Conventions | Land Cover |
| C. | Fonte | University of Coimbra / INESC Coimbra | Establishing a consistent Training Set with available low Resolution Ancillary Data- | Land Cover |
| J. | Inglada | CESBIO | Fusion of Sentinel-2 and Proba-V/Sentinel-3 Images for Multi-Temporal Land-Cover Map Production- | Land Cover |
| G | Trianni | JRC | From Landsat to Sentinel for a global urban Mapping using the Normalized Difference Spectral Index | Land Cover |
| P. | Salvador | Universidad de Valladolid | Reflectance Measurement of main urban Covers in the Sentinel-2 spectral Windows- | Land Cover |
| M. | Törmä | Finnish Environment Institute SYKE | Seasonality of Land Cover Types as Basis for Improved Land Cover Classification within Pan-European Area Frame Sampling Scheme- | Land Cover |
| L. | Gonçalves | Polytechnic Institute of Leiria, School of Technology and Management | A Novel Approach for Land Cover Mapping Based on the Combination of Soft Classifiers and on Uncertainty Information | Land Cover |
| S. | Shrestha | Institute of Geodesy and Cartography | A Comparison of supervised classification Techniques for Landcover Classification for the Warsaw Region using SPOT 4 Imagery | Land Cover |
| P. | Mhangara | South African National Space Agency (SANSA) | Object based Land Use and Land Cover Classification using Sumbandilasat Imagery in Pretoria, South Africa | Land Cover |
| H. | Reese | Swedish University of Agricultural Sciences (SLU) | The Importance of Pixel Size and Amount of training Data for supervised Classification of alpine Vegetation | Land Cover |
| K. | Turlej | Institute of Geodesy and Cartography | Change Detection and Direction of Changes for Europe - Case Study based on KOMPSAT-2 Satellite Data | Land Cover |
| F. | Santaniello | University of Rome Sapienza | Monitoring land cover changes in the Siberian region of
Komi. Estimate of the vegetation trend using remote sensing- | Land Cover |
| C. | Gläßer | Martin Luther University Halle | Enhanced mulitscale Vegetation Mapping using phenological Data, DEM and multisource remote sensing Data | Land Cover |
| M. | Kadiri | CESBIO | Dry and wet Grasslands Characterization: use of multi-temporal spot Images over several contrasted Climatic Years | Land Cover |
| N. | Oppelt | Kiel University | Integration of Land Cover Data into the open Source Model SWAT | Land Cover |
| K | Wester | Brockmann Geomatics Sweden AB | Operational Monitoring of the Swedish Wetlands using Satellite Data | Land Cover |
| K. | Stelzer | Brockmann Consult GmbH | Application of Remote Sensing Techniques in intertidal Flats - the Step to operational Applications- | Land Cover |
| A. | Dehouck | GEO-Transfert | High-Resolution Optical and Radar Data for Mapping Intertidal Flats and Coastal Salt-Marshes- | Land Cover |
| S. | Losmanova | CENIA, Czech Environmental Information Agency | Limits and Perspectives of Satellite hyperspectral Data Utilization for Identification of contaminated Sites - | Land Cover |
| W. | Park | Yonsei University | Radiometric Cross-Calibration of polar orbital Sensors using Geostationary Ocean Color Imager (GOCI)- | Tools and Methods |
| C. | Rogass | Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences | Striping Reduction for pushbroom Sensors - Applications to the SENTINEL-2 Mission- | Tools and Methods |
| C. | Brockmann | Brockmann Consult GmbH | Cloud Screening and Pixel Characterisation at Level 1: IdePix Approach and Validation using PixBox- | Tools and Methods |
| M. | Huc | CESBIO | Multi temporal Methods for Cloud and Shadow Detections for high resolution optical Images | Tools and Methods |
| M. | Eder | DLR | On-board Cloud Detection and as a Result on-board Rescheduling of the planned Tasks for optimization of the Satellite Efficiency- | Tools and Methods |
| A | Cristo | Universidad de Extremadura | Simulation of Sentinel-2 Data Acquisition and Fusion by using the Diffused Matrix Format. - | Tools and Methods |
| F. | Thonfeld | University of Bonn | Simulation of Sentinel-2 images from hyperspectral airborne Data- | Tools and Methods |
| A. | Damm | RSL | The APEX Vegetation Toolbox to assess Sentinel-2 biochemical and -physical Data Products | Tools and Methods |
| P. | D'Odorico | RSL | The Dilemma of spectral Performance and Continuity:Comparability of Sentinel-2 SRFs with other Sensors for Vegetation Monitoring- | Tools and Methods |
| J | Dash | University of Southampton | Evaluating the Performance of the S-2 MSI Sensor for the Estimation of biophysical Variables in Vegetation | Tools and Methods |
| J | Jackson | ARGANS | Preparation for Sentinel-2 through Landsat: Data Quality Control within the ESA IDEAS Framework- | Tools and Methods |
| A. | Alessandrini | INRA | DEMENAGE: A Meta-Analysis of VALERI Database for the Evaluation of retrieval Algorithms over a large Range of vegetation Types | Tools and Methods |
| M. | Weiss | INRA | The On Line Validation Exercise (OLIVE) Tool: a CEOS/LPV Initiative for Validation of Land Products | Tools and Methods |
| C. | Brockmann | Brockmann Consult GmbH | Calvalus - Supporting agile Algorithm Development and large scale Data Processing for Sentinel 2 and other EO Missions- | Tools and Methods |
| S. | Mantovani | MEEO | The Multi-sensor Evolution Analysis (MEA) System for Multi-temporal / Multi-field Data Exploitation- | Tools and Methods |
| R. | Ruiloba | C-S | Using exogenous Data for image Analysis in the Orfeo ToolBox Framework | Tools and Methods |
| R. | Ruiloba | C-S | The Orfeo Toolbox, an open source software for the development of the Venus ground segment L2 and L3 processors. | Tools and Methods |
| M. | Grizonnet | CNES | Potential of Orfeo ToolBox for the Sentinel 2 Preparatory Program- | Tools and Methods |
| S | Cherchali | CNES | The National Land Thematic Centre and its Links with S2 Data- | Tools and Methods |
| C. | Tinel | CNES | The Kalideos Databases: a Framework for the scientific Analysis and Exploitation of Sentinel-2 Images | Tools and Methods |
| G. | Dedieu | CESBIO | The Potential of long term territorial Experiments and Living lab Approach to develop Research and Applications- | Tools and Methods |
| O. | Hagolle | CESBIO | Production And Distribution Of LANDSAT Time Series To Prepare Sentinel-2 Applications | Tools and Methods |
| C. | Woodcock | Boston University | The Importance of Data Policy: Lessons from Landsat and Implications for Sentinel-2 | Tools and Methods |
| Z. | Mitraka | ESA | Land Surface Emissivity Estimation from Synergistic Use of Sentinels 2 and 3 based on Spatial-Spectral Unmixing Techniques- | Tools and Methods |