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In this paper the potential of SENTINEL-1 C-band SAR data for land cover applications, e.g. generating level-2 land cover classification products has been ...
The study is embedded into the ESA project “GMES. Sentinel-1 Analysis of Multi-Temporal Land Observation at. C-Band” (AMOC) funded by European Space Agency.
In this paper the potential of SENTINEL-1 C-band SAR data for land cover applications, e.g. generating level-2 land cover classification products has been ...
The study is embedded into the ESA project “GMES. Sentinel-1 Analysis of Multi-Temporal Land Observation at. C-Band” (AMOC) funded by European Space Agency.
The analysis revealed a high accuracy of Maximum Likelihood and Decision Tree classifiers above the widely accepted success criteria of 85% when having at least ...
Multi-temporal ERS-1 SAR data, consisting of seven acquisitions in 1994 and 1995, were analyzed to determine the potential of C-band VV polarization ...
Objectives · 1. Illustration of Sentinel-1 SAR land use products through the provision of prototype Level-2 products. · 2. Assessment of the SENTINEL-1 ...
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Multitemporal SAR analysis has been shown to accurately classify general land cover by the combination of vegetation and water status dynamics (Balser, 1996).
Analysis of multi-temporal land observation at C-band · Exploitation of TerraSAR-X Data for Land use/Land Cover Analysis Using Object-Oriented Classification ...
We demonstrate the potential of using multitemporal C-band VV and VH polarisation data for monitoring phenology and classifying forests in northern Switzerland.