Research Article
Estimating China’s poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniques
Yao Yaoa School of Geography and Information Engineering, China University of Geosciences, Wuhan, China;b Center for Spatial Information Science, The University of Tokyo, Chiba, Japan;c Alibaba Group, Hangzhou, China
https://orcid.org/0000-0002-2830-0377View further author information
https://orcid.org/0000-0002-2830-0377View further author information, , Zhenhui Sune Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), School of Geographic Sciences, East China Normal University, Shangha, Chinahttps://orcid.org/0000-0002-5324-1778View further author information
https://orcid.org/0000-0002-5324-1778View further author information, Qingfeng Guana School of Geography and Information Engineering, China University of Geosciences, Wuhan, Chinahttps://orcid.org/0000-0002-7392-3709View further author information
https://orcid.org/0000-0002-7392-3709View further author information, , , , , & Ruoyu Wangk Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland, UKCorrespondence[email protected]
https://orcid.org/0000-0002-7240-558XView further author information
https://orcid.org/0000-0002-7240-558XView further author information show all