{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T01:52:12Z","timestamp":1772848332820,"version":"3.50.1"},"reference-count":59,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T00:00:00Z","timestamp":1669593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["41971423"],"award-info":[{"award-number":["41971423"]}]},{"name":"National Natural Science Foundation of China","award":["2020JJ3020"],"award-info":[{"award-number":["2020JJ3020"]}]},{"name":"National Natural Science Foundation of China","award":["2019GK2132"],"award-info":[{"award-number":["2019GK2132"]}]},{"name":"the Natural Science Foundation of Hunan Province","award":["41971423"],"award-info":[{"award-number":["41971423"]}]},{"name":"the Natural Science Foundation of Hunan Province","award":["2020JJ3020"],"award-info":[{"award-number":["2020JJ3020"]}]},{"name":"the Natural Science Foundation of Hunan Province","award":["2019GK2132"],"award-info":[{"award-number":["2019GK2132"]}]},{"name":"the Science and Technology Planning Project of Hunan Province","award":["41971423"],"award-info":[{"award-number":["41971423"]}]},{"name":"the Science and Technology Planning Project of Hunan Province","award":["2020JJ3020"],"award-info":[{"award-number":["2020JJ3020"]}]},{"name":"the Science and Technology Planning Project of Hunan Province","award":["2019GK2132"],"award-info":[{"award-number":["2019GK2132"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Accurately and precisely grasping the spatial distribution and changing trends of China\u2019s regional population is of great significance in new urbanization, economic development, public health, disaster assessment, and ecological environmental protection. To monitor and evaluate the long-term spatiotemporal characteristics of the population distribution in China, a population monitoring estimation model was proposed. Based on remote sensing data such as nighttime light (NTL) images, land use data, and data from the fifth, sixth, and seventh censuses of China, the population spatiotemporal distribution in China from 2000 to 2020 was analyzed with a random forest algorithm. This study obtained spatial distribution maps of population density at a 1 km x 1 km resolution in 2000, 2010, and 2020. The results revealed the trend of the spatiotemporal pattern of population change from 2000 to 2020. It shows that: the accuracy assessment using the 2020 census population of townships\/streets as a reference shows an R2 of 0.67 and a mean relative error (MRE) of 0.44. The spatial pattern of the population in 2000 and 2010 is generally unchanged. In 2020, population agglomeration is evident in the east, with a slight increase in the proportion of the population in the west. The patterns of population agglomeration and urbanization also change over time. The population spatiotemporal distribution obtained in this study can provide a scientific reference for urban sustainable development and promote the rational allocation of urban resources.<\/jats:p>","DOI":"10.3390\/rs14236019","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T07:01:30Z","timestamp":1669618890000},"page":"6019","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Monitoring and Analysis of Population Distribution in China from 2000 to 2020 Based on Remote Sensing Data"],"prefix":"10.3390","volume":"14","author":[{"given":"Fei","family":"Teng","sequence":"first","affiliation":[{"name":"Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan 411201, China"},{"name":"National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China"},{"name":"School of Earth Science and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3317-6518","authenticated-orcid":false,"given":"Yanjun","family":"Wang","sequence":"additional","affiliation":[{"name":"Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan 411201, China"},{"name":"National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China"},{"name":"School of Earth Science and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China"}]},{"given":"Mengjie","family":"Wang","sequence":"additional","affiliation":[{"name":"Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan 411201, China"},{"name":"National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China"},{"name":"School of Earth Science and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China"}]},{"given":"Linqi","family":"Wang","sequence":"additional","affiliation":[{"name":"Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan 411201, China"},{"name":"National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China"},{"name":"School of Earth Science and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1038\/s41893-017-0013-9","article-title":"Building a global urban science","volume":"1","author":"Acuto","year":"2018","journal-title":"Nat. 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