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- W96818273 abstract "Surface albedo and snow-covered-area (SCA) are crucial inputs to the hydrologic and climatologic modeling of alpine and seasonally snow-covered areas. Because the spectral albedo and thermal regime of pure snow depend on grain size, areal distribution of snow grain size is required. Remote sensing has been shown to be an effective (and necessary) means of deriving maps of grain size distribution and snow-covered-area. Developed here is a technique whereby maps of grain size distribution improve estimates of SCA from spectral mixture analysis with AVIRIS data." @default.
- W96818273 created "2016-06-24" @default.
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- W96818273 date "1995-01-23" @default.
- W96818273 modified "2023-10-02" @default.
- W96818273 title "Improving alpine-region spectral unmixing with optimal-fit snow endmembers" @default.
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