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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

Authors
/persons/resource/kelger

Elger,  Kirsten
0 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Heim,  Birgit
External Organizations;

Bartsch,  Annett
External Organizations;

Paulik,  Christoph
External Organizations;

Duguay,  Claude
External Organizations;

Hachem,  Sonia
External Organizations;

Soliman,  Aiman
External Organizations;

Lantuit,  Hugues
External Organizations;

Boike,  Julia
External Organizations;

Seifert,  Frank Martin
External Organizations;

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1453934.pdf
(Publisher version), 3MB

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Citation

Elger, K., Heim, B., Bartsch, A., Paulik, C., Duguay, C., Hachem, S., Soliman, A., Lantuit, H., Boike, J., Seifert, F. M. (2012): 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. - In: Hinkel, K. M. (Ed.), Proceedings of the Tenth International Conference on Permafrost Salekhard, Yamal-Nenets Autonomous District, Russia June 25–29, 2012; Volume 1: International Contributions, Salekhard : The Northern Publisher, 85-90.


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1453934
Abstract
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.