DocumentCode :
2204690
Title :
Continental use of SCAmod fractional snow cover mapping method in boreal forest and tundra belt
Author :
Metsämäki, Sari ; Mattila, Olli-Pekka ; Niemi, Kirsikka
Author_Institution :
Finnish Environ. Inst. SYKE, Helsinki, Finland
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
1578
Lastpage :
1581
Abstract :
The method SCAmod for fractional snow cover (FSC) retrieval for Northern Eurasia boreal forest zone and tundra is presented, together with the accuracy assessment using high resolution Landsat TM/ETM+ data as a reference. Employing an apparent forest transmissivity, SCAmod accounts for forest canopy effect into the observed reflectance. Today, the method is implemented for Northern Hemisphere Snow extent production in European Space Agency DUE-project GlobSnow. It is therefore interesting to assess SCAmod performance in continental scale. We apply SCAmod to MODIS and compare the result with FSC derived from TM/ETM+ imagery over selected areas. Also validation against Finnish ground truth data is presented. Results indicate that high resolution data-derived FSC can be used to represent the ground truth, but this depends on the size and spatial distribution of snow-free patches as well as on the forest density in the target area. In dense forests, TM/ETM+ FSC showed strong underestimation, implying that these data cannot be used to represent the ground truth but only as suggestive reference.
Keywords :
remote sensing; snow; vegetation; DUE-project GlobSnow; European Space Agency; Finnish ground truth data; Northern Eurasia boreal forest zone; Northern Hemisphere snow extent production; SCAmod fractional snow cover mapping method; SCAmod performance; TM-ETM+ imagery; forest canopy; forest density; forest transmissivity; high resolution Landsat TM-ETM+ data; observed reflectance; snow-free patches; tundra belt; Accuracy; Earth; MODIS; Power capacitors; Reflectivity; Remote sensing; Snow; Boreal forest; Fractional snow cover; SCAmod; Tundra;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351093
Filename :
6351093
Link To Document :
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