Mapping impervious surface distribution in China using multi-source remotely sensed data
文献类型：期刊论文
| 作者 | Li, Guiying2,3; Li, Longwei4; Lu, Dengsheng2,3; Guo, Wei1; Kuang, Wenhui5
|
| 刊名 | GISCIENCE & REMOTE SENSING
 |
| 出版日期 | 2020-03-28 |
| 页码 | 10 |
| ISSN号 | 1548-1603 |
| 关键词 | Impervious surface area integration of multi-source data VIIRS DNB MODIS NDVI landsat China |
| DOI | 10.1080/15481603.2020.1744240 |
| 通讯作者 | Lu, Dengsheng(ludengsheng@fjnu.edu.cn) |
| 英文摘要 | Impervious surface area (ISA) data are required for such studies as urban environmental modeling, hydrological modeling, and socioeconomic analysis, but updating these datasets in a large area remains a challenge due to the complex urban landscapes consisting of different materials and colors with various spatial patterns. This research explores the integration of multi-source remotely sensed data for mapping China's ISA distribution at 30-m spatial resolution. The integration of Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) and Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data were used to extract initial ISA with spatial resolution of 250 m using a thresholding approach. The Landsat-derived NDVI and Modified Normalized Difference Water Index (MNDWI) were used to remove vegetation and water areas from the mixed pixels that existed in the initial ISA data. The spectral signatures of these ISA data were further extracted from Landsat multispectral images and used to refine the ISA data using expert knowledge. The results indicate that the integration of multi-source data can successfully map ISA distribution with 30-m spatial resolution in China with producer's and user's accuracies of 83.1 and 91.9%, respectively. These ISA data are valuable for better management of urban landscapes and for use as an input in other studies such as socioeconomic and environmental modeling. |
| WOS关键词 | URBAN LAND-USE ; SPECTRAL MIXTURE ANALYSIS ; CITY LIGHTS ; DMSP-OLS ; URBANIZATION ; IMPACT ; INDEX ; AREA ; DYNAMICS ; CLASSIFICATION |
| 资助项目 | National Natural Science Foundation of China[41590842] ; Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of Ministry of Natural Resources[201918] |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:000524660100001 |
| 资助机构 | National Natural Science Foundation of China ; Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of Ministry of Natural Resources |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/133958]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Lu, Dengsheng |
| 作者单位 | 1.China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing, Peoples R China 2.Fujian Normal Univ, Fujian Prov Key Lab Subtrop Resources & Environm, Fuzhou, Peoples R China 3.Fujian Normal Univ, Sch Geog Sci, Fuzhou, Peoples R China 4.Zhejiang A&F Univ, Sch Environm Resource Sci, Hangzhou, Peoples R China 5.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Guiying,Li, Longwei,Lu, Dengsheng,et al. Mapping impervious surface distribution in China using multi-source remotely sensed data[J]. GISCIENCE & REMOTE SENSING,2020:10. |
| APA | Li, Guiying,Li, Longwei,Lu, Dengsheng,Guo, Wei,&Kuang, Wenhui.(2020).Mapping impervious surface distribution in China using multi-source remotely sensed data.GISCIENCE & REMOTE SENSING,10. |
| MLA | Li, Guiying,et al."Mapping impervious surface distribution in China using multi-source remotely sensed data".GISCIENCE & REMOTE SENSING (2020):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。