Soil moisture retrieval over agricultural region through machine learning and sentinel 1 observations

Soil moisture retrieval over agricultural region through machine learning and sentinel 1 observations

Soil moisture is a fundamental variable in the Earth’s hydrological cycle and vital for development of agricultural water management practices. The present study provided a comprehensive evaluation of a wide range of advanced machine learning algorithms for Soil Moisture (SM) estimation from microwa...

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Bibliographic Details
Main Authors: Deepanshu Lakra, Shobhit Pipil, Prashant K. Srivastava, Suraj Kumar Singh, Manika Gupta, Rajendra Prasad
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Remote Sensing
Subjects:
soil moisture
remote sensing
synthetic aperture radar
radar vegetation index
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2024.1513620/full
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