On the Use of Knowledge‐Informed Machine Learning and Multisource Data for Spatially Explicit Estimation of Irrigation Water Withdrawal
Year: 2025
Type: article
Language: en
Topic: Hydrology and Watershed Management Studies
Authors and affiliations:
raw_author_name: Ling Zhang
raw_affiliation_strings: Key Laboratory of Cryospheric Science and Frozen Soil Engineering Heihe Remote Sensing Experimental Research Station Northwest Institute of Eco‐Environment and Resources Chinese Academy of Sciences  Lanzhou China
Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
raw_author_name: Hui Ma
raw_affiliation_strings: Key Laboratory of Cryospheric Science and Frozen Soil Engineering Heihe Remote Sensing Experimental Research Station Northwest Institute of Eco‐Environment and Resources Chinese Academy of Sciences  Lanzhou China
University of Chinese Academy of Sciences  Beijing China
Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
University of Chinese Academy of Sciences, Beijing, China
raw_author_name: Yingyi Hu
raw_affiliation_strings: Key Laboratory of Cryospheric Science and Frozen Soil Engineering Heihe Remote Sensing Experimental Research Station Northwest Institute of Eco‐Environment and Resources Chinese Academy of Sciences  Lanzhou China
Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
raw_author_name: Yixiao Wang
raw_affiliation_strings: College of Geography and Environmental Sciences Northwest Normal University  Lanzhou China
Key Laboratory of Cryospheric Science and Frozen Soil Engineering Heihe Remote Sensing Experimental Research Station Northwest Institute of Eco‐Environment and Resources Chinese Academy of Sciences  Lanzhou China
Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, China
raw_author_name: Qimin Ma
raw_affiliation_strings: College of Resources and Environment Chengdu University of Information Technology  Chengdu China
College of Resources and Environment, Chengdu University of Information Technology, Chengdu, China
raw_author_name: Yanbo Zhao
raw_affiliation_strings: Key Laboratory of Cryospheric Science and Frozen Soil Engineering Heihe Remote Sensing Experimental Research Station Northwest Institute of Eco‐Environment and Resources Chinese Academy of Sciences  Lanzhou China
Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China