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    22-Jul-2014
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Fourth Chris Proba Workshop
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4th CHRIS Proba workshop - Presentations

Session 1 Session 2 Session 3 Session 4
 
Session 3: Land Processes & Atmosphere II
Chaired by H. Bach and H. Kaufmann
Ruecker, G. et al. Remote Sensing of Chlorophyll and Nitrogen Status in Cotton Fields in Khorezm, the Amu Darya Basin, Uzbekistan
Martinez Cobo, P. et al. Identification of Roman buildings using Chris images
Weber, B. et al. Development and Implementation of Remote Sensing Techniques for Long-Term Monitoring of Biological Soil Crusts (BSCs)
Begiebing, S. et al. Extraction of Phenology-Dependent Structural Information from Hyperspectral, Directional CHRIS Data for a Better Derivation of Canopy Parameters of Winter-Wheat
Goodenough, D. et al. Evaluation and Validation of CHRIS (EVC) for National Forests
Pippi, I. et al. Overview of CHRIS Acquisitions over San Rossore as a Tool for Integrated Observation of the Environment at Regional Scale
Renda, O. et al. Testing CHRIS Images for a Land Use Monitoring Service
Merton, R. et al. Mapping Snow Cover Extent over Mountainous Terrain in the Swiss National Park Using Multi-Temporal and Multi-Angular CHRIS Imagery
Chopping, M. et al. Mapping Woody Vegetation with the Compact High Resolution Imaging Spectroradiometer on the Proba platform: A Monospectral, Multi-Angle Approach
Gomez-Chova, L. et al. Cloud Probability Mask for PROBA/CHRIS Hyperspectral Images
Ottavianelli, G. et al. SAR Interferometric Products and Hyperspectral Data for Monitoring Solid Waste Landfill Operations
Schmid, T. et al. Semi-arid Wetlands: Assessment of their Degradation Status and Monitoring b Multi-Sensor Remote Sensing
Bach, H. et al. Autonomous Atmospheric Correction and Model Based Land Use Classification of CHRIS Data of the AQUIFEREX Test-Sites in Tunisia
Tong, Q. et al. Forest Species Classification Based on Hyperspectral and Multitemporal CHRIS Images
Kaufmann, H. (invited Speaker) et al. EnMAP – Environmental Mapping and Analysis Program
Merton, R. et al. Contributions of Multi-View Angle Remote Sensing in Determining Vegetation Structure Using CHRIS Data

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry