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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....

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Junhao Liu, Zhe Hao, Jianli Ding, Yukun Zhang, Zhiguo Miao, Yu Zheng, Alimira Alimu, Huiling Cheng, Xiang Li
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2024-10-01
Saila:Land
Gaiak:
Sarrera elektronikoa:https://www.mdpi.com/2073-445X/13/10/1635
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