land Article Optimization of Modelling Population Density Estimation Based on Impervious Surfaces Jinyu Zang 1 , Ting Zhang 1,*, Longqian Chen 1, Long Li 1,2 , Weiqiang Liu 3, Lina Yuan 4 , Yu Zhang 5, Ruiyang Liu 3, Zhiqiang Wang 1, Ziqi Yu 1 and Jia Wang 1 1 School of Public Policy and Management, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China;
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[email protected] (J.W.) 2 Department of Geography, Earth System Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium 3 School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China;
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[email protected]; Tel.: +86-516-8359-1327 Abstract: Population data are key indicators of policymaking, public health, and land use in urban and ecological systems; however, traditional censuses are time-consuming, expensive, and laborious. This study proposes a method of modelling population density estimations based on remote sensing Citation: Zang, J.; Zhang, T.; Chen, data in Hefei.