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
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
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
Stillinger, Timbo
Rittger, Karl
Raleigh, Mark S.
Michell, Alex
Davis, Robert E.
Bair, Edward H.

DOI
10.5194/tc-17-567-2023
URN
urn:nbn:de:101:1-2023033007185146427011
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:57 AM CEST

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Associated

  • Stillinger, Timbo
  • Rittger, Karl
  • Raleigh, Mark S.
  • Michell, Alex
  • Davis, Robert E.
  • Bair, Edward H.

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