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
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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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