His scientific interests lie mostly in Remote sensing, Land cover, Satellite imagery, Remote sensing and Footprint. His research in Remote sensing is mostly concerned with Synthetic aperture radar. His Land cover study integrates concerns from other disciplines, such as Mining engineering, Urban sprawl, Hydrology, Thematic Mapper and Normalized Difference Vegetation Index.
Stefan Dech has researched Normalized Difference Vegetation Index in several fields, including Climate change, Field and Land use. His Remote sensing research is multidisciplinary, incorporating elements of Hazard, Biodiversity, Environmental resource management and Principal. His Urbanization research includes themes of Cartography, Water resource management, Urban planning and Urban agglomeration.
Stefan Dech focuses on Remote sensing, Remote sensing, Land cover, Earth observation and Vegetation. He works in the field of Remote sensing, namely Synthetic aperture radar. His study brings together the fields of Time series and Remote sensing.
Stefan Dech has included themes like Spatial ecology, Hydrology, Satellite imagery and Moderate-resolution imaging spectroradiometer in his Land cover study. The study incorporates disciplines such as Arid, Phenology, Physical geography and Biome in addition to Vegetation. The Cartography study combines topics in areas such as Urbanization, Megacity and Urban sprawl.
Stefan Dech mainly investigates Remote sensing, Earth observation, Human settlement, Cartography and Remote sensing. His research in Remote sensing intersects with topics in Ecology, Climate change, Glacier, Scale and Thematic map. His biological study spans a wide range of topics, including Earth science, Environmental resource management, Hydrology, Wetland and Global change.
Stefan Dech interconnects Urban spatial structure, Empirical research and Floor area ratio in the investigation of issues within Cartography. His studies in Remote sensing integrate themes in fields like Motion, Sample, Disturbance and Digital divide. The concepts of his Biological dispersal study are interwoven with issues in Land cover, Satellite imagery and Spatial ecology.
Stefan Dech mostly deals with Remote sensing, Human settlement, Remote sensing, Urbanization and Footprint. Stefan Dech combines subjects such as Cartography, Thematic map and Land cover with his study of Remote sensing. As a member of one scientific family, he mostly works in the field of Land cover, focusing on Satellite imagery and, on occasion, Relevance.
His Remote sensing research incorporates themes from Social media, Climate change, Human geography and Urban sociology. Stefan Dech studied Climate change and Common spatial pattern that intersect with Vegetation. His research integrates issues of Ground truth, Radar imaging and Data management in his study of Urbanization.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Remote Sensing of Mangrove Ecosystems: A Review
Claudia Kuenzer;Andrea Bluemel;Steffen Gebhardt;Tuan Vo Quoc.
Remote Sensing (2011)
Monitoring urbanization in mega cities from space
Hannes Taubenböck;Thomas Esch;Andreas Felbier;Michael Wiesner.
Remote Sensing of Environment (2012)
Urbanization in India – Spatiotemporal analysis using remote sensing data
Hannes Taubenböck;Martin Wegmann;Achim Roth;Harald Mehl.
Computers, Environment and Urban Systems (2009)
Remote sensing of snow – a review of available methods
Andreas Juergen Dietz;Claudia Kuenzer;Ursula Gessner;Stefan Dech.
International Journal of Remote Sensing (2012)
Urban Footprint Processor—Fully Automated Processing Chain Generating Settlement Masks From Global Data of the TanDEM-X Mission
T. Esch;M. Marconcini;A. Felbier;A. Roth.
IEEE Geoscience and Remote Sensing Letters (2013)
Free and open-access satellite data are key to biodiversity conservation
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Biological Conservation (2015)
Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
Claudia Kuenzer;Huadong Guo;Juliane Huth;Patrick Leinenkugel.
Remote Sensing (2013)
Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines
F. Löw;U. Michel;S. Dech;S. Dech;C. Conrad.
Isprs Journal of Photogrammetry and Remote Sensing (2013)
Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data
Christopher Conrad;Sebastian Fritsch;Julian Zeidler;Gerd Rücker.
Remote Sensing (2010)
Breaking new ground in mapping human settlements from space – The Global Urban Footprint
Thomas Esch;Thomas Esch;Wieke Heldens;Andreas Hirner;Manfred Keil.
Isprs Journal of Photogrammetry and Remote Sensing (2017)
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