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....

ver descrição completa

Detalhes bibliográficos

Principais autores:	Junhao Liu, Zhe Hao, Jianli Ding, Yukun Zhang, Zhiguo Miao, Yu Zheng, Alimira Alimu, Huiling Cheng, Xiang Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-10-01
coleção:	Land
Assuntos:	machine learning Sentinel-1 SAR soil moisture inversion water cloud model
Acesso em linha:	https://www.mdpi.com/2073-445X/13/10/1635
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!