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

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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Bibliographic Details
Main Authors: Srinivasarao Tanniru, RAAJ Ramsankaran
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Machine learning
passive microwave remote sensing
snow depth (SD)
Online Access:https://ieeexplore.ieee.org/document/10154626/

Internet

https://ieeexplore.ieee.org/document/10154626/

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