Articles | Volume 17, issue 2
https://doi.org/10.5194/tc-17-567-2023
https://doi.org/10.5194/tc-17-567-2023
Research article
 | 
08 Feb 2023
Research article |  | 08 Feb 2023

Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets

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

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Latest update: 18 Jun 2024
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Short summary
Understanding global snow cover is critical for comprehending climate change and its impacts on the lives of billions of people. Satellites are the best way to monitor global snow cover, yet snow varies at a finer spatial resolution than most satellite images. We assessed subpixel snow mapping methods across a spectrum of conditions using airborne lidar. Spectral-unmixing methods outperformed older operational methods and are ready to to advance snow cover mapping at the global scale.