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Machine Learning-Based Estimation of High-Resolution Snow Depth in Alaska Using Passive Microwave Remote Sensing Data

Snow depth (SD) knowledge is significant in many applications related to hydrology, climate, and disaster management. Many SD models are developed using multifrequency spaceborne passive microwave (PMW) brightness temperature (Tb) observations because of their sensitivity to SD. The sensitivity of T...

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Autores principales: Srinivasarao Tanniru, RAAJ Ramsankaran
Formato: Artigo
Lenguaje:Inglês
Publicado: IEEE 2023-01-01
Colección:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Acceso en línea:https://ieeexplore.ieee.org/document/10154626/
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