Canopy Adjustment and Improved Cloud Detection for Remotely Sensed Snow Cover Mapping

Maps of snow cover serve as early indicators for hydrologic forecasts and as inputs to hydrologic models that inform water management strategies. Advances in snow cover mapping have led to increasing accuracy, but unsatisfactory treatment of vegetation's interference when mapping snow has led t...

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Veröffentlicht in:	Water resources research 2020-06, Vol.56 (6), p.n/a, Article 2019
Hauptverfasser:	Rittger, Karl, Raleigh, Mark S., Dozier, Jeff, Hill, Alice F., Lutz, James A., Painter, Thomas H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Angles (geometry) Canopies Canopy canopy adjustment Cloud cover Cloud detection Clouds Coverage Earth surface Environmental Sciences Environmental Sciences & Ecology Errors Floors Forecasting Forest canopy Forest floor Forests Hydrologic forecasting Hydrologic models Hydrology Identification Imagery Imaging techniques Life Sciences & Biomedicine Limnology Mapping Marine & Freshwater Biology Meltwater MODIS Northern Hemisphere Physical Sciences Profiles Remote sensing Resolution Satellite imagery Satellite observation Satellites Science & Technology Snow Snow cover Snow cover mapping Snowmelt Snowpack Spaceborne remote sensing spectral mixture analysis Spectroradiometers SWE Trees Uncertainty Vegetation Viewing Water management Water Resources Water supply
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