Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets
Abstract F - - 9.5 %) improve significantly when linear equations developed for older products are applied (2.8 %, - 2.7 %) to convert band ratios to fSCA. The F - 0.1 %, - 0.1 %) and RMSE (12.1 %, 12.0 %), with higher F - 0.4 % to 0.3 %), low RMSE (11.4 % to 15.8 %), and high F statistics (97.3 % to 99.1 %). Spectral-unmixing methods can improve snow cover mapping at the global scale.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets ; volume:17 ; number:2 ; year:2023 ; pages:567-590 ; extent:24
The Cryosphere ; 17, Heft 2 (2023), 567-590 (gesamt 24)
- Creator
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Stillinger, Timbo
Rittger, Karl
Raleigh, Mark S.
Michell, Alex
Davis, Robert E.
Bair, Edward H.
- DOI
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10.5194/tc-17-567-2023
- URN
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urn:nbn:de:101:1-2023033007185146427011
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:57 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Stillinger, Timbo
- Rittger, Karl
- Raleigh, Mark S.
- Michell, Alex
- Davis, Robert E.
- Bair, Edward H.