Ensemble Machine-Learning-Based Framework for Estimating Surface Soil Moisture Using Sentinel-1/2 Data: A Case Study of an Arid Oasis in China

Soil moisture (SM) is a critical parameter in Earth’s water cycle, significantly impacting hydrological, agricultural, and meteorological research fields. The challenge of estimating surface soil moisture from synthetic aperture radar (SAR) data is compounded by the influence of vegetation coverage....

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Junhao Liu, Zhe Hao, Jianli Ding, Yukun Zhang, Zhiguo Miao, Yu Zheng, Alimira Alimu, Huiling Cheng, Xiang Li
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2024-10-01
श्रृंखला:	Land
विषय:	machine learning Sentinel-1 SAR soil moisture inversion water cloud model
ऑनलाइन पहुंच:	https://www.mdpi.com/2073-445X/13/10/1635
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