Sunar, Filiz (TURKEY)
Assessment of Multi-Temporal Land Use/Cover Changes Using Remotely Sensed
Imagery - A Case Study: Tuzla Region in Istanbul, Turkey
Takeuchi, Shoji (JAPAN)
Monitoring of Land Cover Conditions in Paddy Fields Using Multitemporal SAR Data
Taranik, James V. (UNITED STATES)
Remote Sensing for Geology and Material Resources, an Assessment of Tools for
Geoscientists in the Near Future
Teotia, Harendra S. (BRAZIL)
Land Use and Land Cover Mapping in Paraiba-CNPQ Project - the Application of
Remote Sensing Technology
Theilen-Willige, Barbara (GERMANY)
Seismic Risk Analysis in SW-Germany Based on ERS1-Data
Ticehurst, Catherine (AUSTRALIA)
Using Backscatter from Radar Images for Classifying and Determining the Bulk
Density of the Urban Environment
Tsipenyuk, Dmitry Yurievich (RUSSIA)
Selective Resonance Excitation in Remote Laser Spark Spectroscopy
Van Der Meer, Freek (THE NETHERLANDS)
Geologic Prospecting for Mineral Exploration in the Troodos Ophiolite Complex of
Cyprus Using TM Data
van Genderen, John (THE NETHERLANDS)
The Synergistic Use of Remotely Sensed Data for the Detection of Underground Coal
Fires
Varjo, Jari (FINLAND)
Radiometric Correction of Multitemporal Landsat TM Data for Detecting Rapid
Changes in Forest
Vergara, Oscar Ricardo (BRAZIL)
Data Fusion in Urban Cartography
Vozikis, Evangelos (GREECE)
The Use of Remote Sensing and GIS Techniques in Agricultural Applications
Wagner, Wolfgang (AUSTRIA)
Detection of Periodic Climate Anomalies over Greenland with Microwave
Radiometers
Wang, Jinfei (CANADA)
Evaluation of Lineament Detection Algorithms Using Multi-Band Remote Sensing
Images
Wang, Xiufeng (JAPAN)
The Relationship between Canopy Surface Temperature by IR-Thermometer and
Canopy Structure
Wang, Yiman (THE NETHERLANDS)
Land-Water Boundary Delineation from ERS-1 SAR for Construction of DEM in the
Inter-Tidal Zone
Weichelt, Horst (GERMANY)
Applications of Multitemporal and Multisensoral Remote Sensing Data for Monitoring
Aspects in Opencast Lignite Mining and Post-Mining Landscapes
Wu, Jee-cheng (UNITED STATES)
Classification of TM Image Using a Competitive Learning Neural Network
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