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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, ChinaORCID Iconhttps://orcid.org/0000-0002-2830-0377View further author information
ORCID Icon,
Jianfeng Zhoud Foshan Surveying Mapping and Geoinformation Research Institute, Foshan, ChinaView 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, ChinaORCID Iconhttps://orcid.org/0000-0002-5324-1778View further author information
ORCID Icon,
Qingfeng Guana School of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaORCID Iconhttps://orcid.org/0000-0002-7392-3709View further author information
ORCID Icon,
Zhiqiang Guof Institute of International Rivers and Eco-Security, Yunnan University, Kunming, ChinaView further author information
,
Yin Xug Institute of Geography and Spatial Information, School of Earth Sciences, Zhejiang University, Hangzhou, ChinaView further author information
,
Jinbao Zhangh School of Geography and Planning, Sun Yat-Sen University, Guangzhou, ChinaView further author information
,
Ye Hongi Institute of Cartography and Geoinformation, ETH Zurich, Zürich, SwitzerlandView further author information
,
Yuyang Caij Department of Civil Environmental and Geomatic Engineering, School of Engineering, University College London, London, UKView further author information
&
Ruoyu Wangk Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland, UKCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7240-558XView further author information
ORCID Icon show all
Received 01 Sep 2022, Accepted 03 Jan 2023, Published online: 15 Feb 2023

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