An Automated Method for Regional-Scale Agricultural Soil Moisture Retrieval Using ISMN Measurements and Sentinel Data in Google Earth Engine

As a critical geophysical parameter governing land-atmosphere interactions, soil moisture (SM) plays a pivotal role in regulating global water and energy cycles. Despite the proliferation of satellite-derived SM products, their utility in precision agriculture remains constrained by inherent limitat...

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Autori principali:	Zhaoxu Zhang, Lei Qian, Yuchen Qiu, Zhenwei Shi, Yuanheng Sun, Wei Xu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Fusion of optical and SAR data Google Earth Engine (GEE) machine learning soil moisture estimation
Accesso online:	https://ieeexplore.ieee.org/document/11290116/
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