Using ground data from the Global Terrestrial Network of Permafrost (GTN-P) for the Evaluation of the ESA DUE Permafrost remote sensing derived Products Land Surface Temperature and ASCAT Surface State Flag

The ESA Data User Element (DUE) Permafrost project provides a mid-to-long-term Earth observation service for permafrost remote sensing derived applications for Northern high-latitudinal permafrost areas. The DUE Permafrost remote sensing products are land surface temperature, surface soil moisture,...

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Bibliographic Details
Main Authors: Elger, Kirsten, Heim, Birgit, Bartsch, Annett, Paulik, Christoph, Duguay, Claude, Hachem, Sonia, Soliman, Aiman, Lantuit, Hugues, Boike, Julia, Seifert, Frank Martin
Other Authors: Hinckel, K. M.
Format: Book Part
Language:unknown
Published: The Northern Publisher (Severnoye Izdatelstvo) 2012
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Online Access:https://epic.awi.de/id/eprint/30947/
https://epic.awi.de/id/eprint/30947/1/TICOP_conference_Paper_Elger_et_al_GTN-P_data_for_DUE_Permafrost_evaluation.pdf
http://www.ticop2012.org/
https://hdl.handle.net/10013/epic.39831
https://hdl.handle.net/10013/epic.39831.d001
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Summary:The ESA Data User Element (DUE) Permafrost project provides a mid-to-long-term Earth observation service for permafrost remote sensing derived applications for Northern high-latitudinal permafrost areas. The DUE Permafrost remote sensing products are land surface temperature, surface soil moisture, frozen/thawed surface status, elevation, land cover and surface waters. A major component is the evaluation of the DUE Permafrost products to test their scientific validity for high-latitude permafrost landscapes. These case studies evaluate two DUE Permafrost products (MODIS Land Surface Temperature and ASCAT Surface State Flag) by comparing the results with field-based data obtained by the Global Terrestrial Network of Permafrost (GTN-P). First results showed good correlation which suggests that the DUE Permafrost approach is a promising one for long-term monitoring of permafrost surface conditions. Furthermore it demonstrates the great benefit of freely available ground truth databases for the evaluation of remote sensing derived products.