首页|Mapping essential urban land use categories (EULUC) using geospatial big data:Progress,challenges,and opportunities
Mapping essential urban land use categories (EULUC) using geospatial big data:Progress,challenges,and opportunities
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Urban land use information that reflects socio-economic functions and human activities is critically essential for urban planning,land-scape design,environmental management,health promotion,and biodiversity conservation.Land-use maps outlining the distribution,pattern,and composition of essential urban land use categories(EULUC) have facilitated a wide spectrum of applications and further triggered new opportunities in urban studies.New and improved Earth observations,algorithms,and advanced products for extracting thematic urban information,in association with emer-ging social sensing big data and auxiliary crowdsourcing datasets,all together offer great potentials to mapping fine-resolution EULUC from regional to global scales.Here we review the advances of EULUC mapping research and practices in terms of their data,methods,and applications.Based on the historical retrospect,we summarize the challenges and limitations of current EULUC studies regarding sample collection,mixed land use problem,data and model generalization,and large-scale mapping efforts.Finally,we propose and discuss future opportunities,including cross-scale mapping,optimal integration of multi-source features,global sam-ple libraries from crowdsourcing approaches,advanced machine learning and ensembled classification strategy,open portals for data visualization and sharing,multi-temporal mapping of EULUC change,and implications in urban environmental studies,to facil-itate multi-scale fine-resolution EULUC mapping research.
Remote sensingurban land use typeclassificationopen big datamachine learning
Bin Chen、Bing Xu、Peng Gong
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Division of Landscape Architecture,Faculty of Architecture,The University of Hong Kong,Hong Kong SAR,China
Ministry of Education Key Laboratory for Earth System Modeling,Department of Earth System Science,Tsinghua University,Beijing,China
Tsinghua Shenzhen International Graduate School,Shenzhen,China
Department of Geography,and Department of Earth Sciences,The University of Hong Kong,Hong Kong SAR,China
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National Key Research and Development Program of the Ministry of Science and Technology of the People's Republic of ChinaCyrus Tang Foundation
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