Work

Root-zone soil moisture estimation based on remote sensing data and deep learning

Year: 2022

Type: article

Source: Environmental Research

DOI: 10.1016/j.envres.2022.113278

Authors: Yinglan A, Guoqiang Wang, Peng Hu, Xiaoying Lai, Baolin Xue, Qingqing Fang

Institutions: Beijing Normal University, China Institute of Water Resources and Hydropower Research, Asian Institute of Technology, Tianjin University, North China Electric Power University

Language: English

Topic: Soil Moisture and Remote Sensing

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Zero hunger

Open Access status: closed

Funders: National Natural Science Foundation of China, China Institute of Water Resources and Hydropower Research, China National Funds for Distinguished Young Scientists, National Science Fund for Distinguished Young Scholars

Awards: G1205643083, 东北地区典型河流-沼泽过渡区径流漫散机制与水文过程模拟, G2692730215, G3712280148, G5357742404, G5889895184, G6563120791, 面向磷矿开采的区域水生态系统服务研究

OpenAlex ID: W4224057408

FWCI: 4.765

Cites: 28

Cited by: 76

Related to: 10