Urban Land Extraction Using DMSP/OLS Nighttime Light Data and OpenStreetMap Datasets for Cities in China at Different Development Levels

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Urban Land Extraction Using DMSP/OLS Nighttime Light Data and OpenStreetMap Datasets for Cities in China at Different Development Levels
	Cheng, Fangyan; Liu, Shiliang; Hou, Xiaoyun; Zhang, Yueqiu; Dong, Shikui; Coxixo, Ana; Liu, Guohua
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2018-08-01
卷号	11 期号:8 页码:2587-2599
关键词	Error analysis remote sensing urban areas
ISSN号	1939-1404
文献子类	Article
英文摘要	Nighttime light (NTL) and OpenStreetMap (OSM) have been used increasingly to delineate boundaries between urban and nonurban areas. However, systematic comparisons of how well such data can be used for identifying urban land for cities with different development levels are extremely limited. In this study, NTL data from the Defense Meteorological Satellite Program/Operational Linescan System, road data and points-of-interest data from the OSM are carefully selected as main data sources, and further applied for urban land extractions from Chinese cities at different development levels. Approaches being adopted for extractions include the support vector, optimal threshold, sudden-jump, head/tail break, and densi-graph methods. Results show that the overall accuracy of urban land extracted from OSM data is significantly higher than that from NTL data. Averaged overall accuracies (AOAs) of urban land extractions from OSM data are 90%, while AOAs from NTL data are only 76%. Accuracies of urban land extractions experience a decline during increasing city development levels. Averaged balanced accuracies (ABAs) for high-developed cities are the lowest (about 65%), while ABAs for mid- and low-developed cities are comparable (71% and 72%, respectively). Also, significant differences between accuracies of urban land extractions by different methods are not observed in this case. Further, it is suggested that OSM is a robust data source for extracting urban land from cities at different development levels.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/40695]
专题	生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式 GB/T 7714	Cheng, Fangyan,Liu, Shiliang,Hou, Xiaoyun,et al. Urban Land Extraction Using DMSP/OLS Nighttime Light Data and OpenStreetMap Datasets for Cities in China at Different Development Levels[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2018,11(8):2587-2599.
APA	Cheng, Fangyan.,Liu, Shiliang.,Hou, Xiaoyun.,Zhang, Yueqiu.,Dong, Shikui.,...&Liu, Guohua.(2018).Urban Land Extraction Using DMSP/OLS Nighttime Light Data and OpenStreetMap Datasets for Cities in China at Different Development Levels.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,11(8),2587-2599.
MLA	Cheng, Fangyan,et al."Urban Land Extraction Using DMSP/OLS Nighttime Light Data and OpenStreetMap Datasets for Cities in China at Different Development Levels".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 11.8(2018):2587-2599.