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Geo-spatial Information Science Volume 27, 2024 - Issue 1
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Research Article

China’s poverty assessment and analysis under the framework of the UN SDGs based on multisource remote sensing data

Mengjie Wanga Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan, China;b National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China;c School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, ChinaORCID Iconhttps://orcid.org/0000-0002-3317-6518View further author information
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Yanjun Wanga Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan, China;b National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China;c School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-4144-4551View further author information
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Fei Tenga Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan, China;b National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China;c School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, ChinaORCID Iconhttps://orcid.org/0000-0003-1447-3450View further author information
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Shaochun Lia Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan, China;b National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China;c School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, ChinaORCID Iconhttps://orcid.org/0000-0003-3301-2684View further author information
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Yunhao Lina Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan, China;b National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China;c School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan, ChinaORCID Iconhttps://orcid.org/0000-0002-6373-4576View further author information
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Hengfan Caia Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan, China;b National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan, ChinaORCID Iconhttps://orcid.org/0000-0001-9820-7533View further author information
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Pages 111-131 | Received 20 Jan 2022, Accepted 27 Jul 2022, Published online: 30 Sep 2022

Citations (3)

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Read on this site (1)

Kohei Okuda, Akiyuki Kawasaki & Naoki Yamashita. (2023) Estimating the level of income in individual buildings using data from household interview surveys and satellite imagery: case study in Myanmar and Nicaragua. Geo-spatial Information Science 0:0, pages 1-10.
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Articles from other publishers (2)

Jie Tang, Xizhi Zhao, Fuhao Zhang, Agen Qiu & Kunwang Tao. (2024) Poverty Estimation Using a ConvLSTM-Based Model With Multisource Remote Sensing Data: A Case Study in Nigeria. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17, pages 3516-3529.
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Xuefeng Quan, Xiaoyu Song, Junxia Miao, Chunlin Huang, Feng Gao, Jie Li & Luyao Ying. (2023) Study on the substitutability of nighttime light data for SDG indicators: a case study of Yunnan Province. Frontiers in Environmental Science 11.
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