Mapping Global Urban Impervious Surface and Green Space Fractions Using Google Earth Engine
文献类型：期刊论文
| 作者 | Kuang, Wenhui3; Hou, Yali1,3; Dou, Yinyin3; Lu, Dengsheng2; Yang, Shiqi1,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-10-01 |
| 卷号 | 13期号:20页码:16 |
| 关键词 | land cover mapping urban boundary spatiotemporal dynamics hierarchical classification urban environments Landsat |
| DOI | 10.3390/rs13204187 |
| 通讯作者 | Dou, Yinyin(douyinyin@igsnrr.ac.cm) |
| 英文摘要 | Urban impervious surfaces area (ISA) and green space (GS), two primary components of urban environment, are pivotal in detecting urban environmental quality and addressing global environmental change issues. However, the current global mapping of ISA and GS is not effective enough to accurately delineate in urban areas due to the mosaicked and complex structure. To address the issue, the hierarchical architecture principle and subpixel metric method were applied to map 30 m global urban ISA and GS fractions for the years 2015 and circa 2020. We use random forest algorithms for retrieval of the Normalized Settlement Density Index and Normalized Green Space Index from Landsat images using Google Earth Engine. The correlation coefficients of global urban ISA and GS fractions were all higher than 0.9 for 2015 and circa 2020. Our results show global urban ISA and GS areas in circa 2020 were 31.19 x 10(4) km(2) and 17.16 x 10(4) km(2), respectively. The novel ISA and GS fractions product can show potential applications in assessing the effects of urbanization on climate, ecology, and urban sustainability. |
| WOS关键词 | SUB-PIXEL ; RANDOM FORESTS ; LAND ; CLASSIFICATION ; EXPANSION ; PATTERNS ; CHINA |
| 资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences ; Pan-Third Pole Environment Study for a Green Silk Road (Pan-TPE) ; National Natural Science Foundation of China |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000716409800001 |
| 出版者 | MDPI |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; Pan-Third Pole Environment Study for a Green Silk Road (Pan-TPE) ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167642]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Dou, Yinyin |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China 2.Fujian Normal Univ, Sch Geog Sci, Fuzhou 350007, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Kuang, Wenhui,Hou, Yali,Dou, Yinyin,et al. Mapping Global Urban Impervious Surface and Green Space Fractions Using Google Earth Engine[J]. REMOTE SENSING,2021,13(20):16. |
| APA | Kuang, Wenhui,Hou, Yali,Dou, Yinyin,Lu, Dengsheng,&Yang, Shiqi.(2021).Mapping Global Urban Impervious Surface and Green Space Fractions Using Google Earth Engine.REMOTE SENSING,13(20),16. |
| MLA | Kuang, Wenhui,et al."Mapping Global Urban Impervious Surface and Green Space Fractions Using Google Earth Engine".REMOTE SENSING 13.20(2021):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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