中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Extracting urban areas in China using DMSP/OLS nighttime light data integrated with biophysical composition information

文献类型:期刊论文

作者Cheng Yang1; Zhao Limin1; Wan Wei1; Li Lingling1; Yu Tao1; Gu Xingfa1
刊名JOURNAL OF GEOGRAPHICAL SCIENCES
出版日期2016
卷号26期号:3页码:325-338
关键词HYPHANTRIA-CUNEA SYSTEM REDD+
通讯作者Zhao, LM (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China. ; Zhao, LM (reprint author), Ctr Natl Spaceborne Demonstrat, Beijing 100101, Peoples R China.
英文摘要DMSP/OLS nighttime light (NTL) image is a widely used data source for urbanization studies. Although OLS NTL data are able to map nighttime luminosity, the identification accuracy of distribution of urban areas (UAD) is limited by the overestimation of the lit areas resulting from the coarse spatial resolution. In view of geographical condition, we integrate NTL with Biophysical Composition Index (BCI) and propose a new spectral index, the BCI Assisted NTL Index (BANI) to capture UAD. Comparisons between BANI approach and NDVI-assisted SVM classification are carried out using UAD extracted from Landsat TM/ETM+ data as reference. Results show that BANI is capable of improving the accuracy of UAD extraction using NTL data. The average overall accuracy (OA) and Kappa coefficient of sample cities increased from 88.53% to 95.10% and from 0.56 to 0.84, respectively. Moreover, with regard to cities with more mixed land covers, the accuracy of extraction results is high and the improvement is obvious. For other cities, the accuracy also increased to varying degrees. Hence, BANI approach could achieve better UAD extraction results compared with NDVI-assisted SVM method, suggesting that the proposed method is a reliable alternative method for a large-scale urbanization study in China's mainland.
学科主题Physical Geography
类目[WOS]Geography, Physical
收录类别SCI
语种英语
WOS记录号WOS:000369016400005
源URL[http://ir.radi.ac.cn/handle/183411/39389]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
2.Ctr Natl Spaceborne Demonstrat, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714
Cheng Yang,Zhao Limin,Wan Wei,et al. Extracting urban areas in China using DMSP/OLS nighttime light data integrated with biophysical composition information[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2016,26(3):325-338.
APA Cheng Yang,Zhao Limin,Wan Wei,Li Lingling,Yu Tao,&Gu Xingfa.(2016).Extracting urban areas in China using DMSP/OLS nighttime light data integrated with biophysical composition information.JOURNAL OF GEOGRAPHICAL SCIENCES,26(3),325-338.
MLA Cheng Yang,et al."Extracting urban areas in China using DMSP/OLS nighttime light data integrated with biophysical composition information".JOURNAL OF GEOGRAPHICAL SCIENCES 26.3(2016):325-338.

入库方式: OAI收割

来源:遥感与数字地球研究所

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