A 30 m resolution dataset of China's urban impervious surface area and green space, 2000-2018
文献类型：期刊论文
| 作者 | Kuang, Wenhui1 ; Zhang, Shu1,2; Li, Xiaoyong2,3; Lu, Dengsheng4,5
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| 刊名 | EARTH SYSTEM SCIENCE DATA
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| 出版日期 | 2021-01-14 |
| 卷号 | 13期号:1页码:63-82 |
| ISSN号 | 1866-3508 |
| DOI | 10.5194/essd-13-63-2021 |
| 通讯作者 | Kuang, Wenhui(kuangwh@igsnrr.ac.cn) |
| 英文摘要 | Accurate and timely maps of urban underlying land properties at the national scale are of significance in improving habitat environment and achieving sustainable development goals. Urban impervious surface (UIS) and urban green space (UGS) are two core components for characterizing urban underlying environments. However, the UIS and UGS are often mosaicked in the urban landscape with complex structures and composites. The "hard classification" or binary single type cannot be used effectively to delineate spatially explicit urban land surface property. Although six mainstream datasets on global or national urban land use and land cover products with a 30 m spatial resolution have been developed, they only provide the binary pattern or dynamic of a single urban land type, which cannot effectively delineate the quantitative components or structure of intra-urban land cover. Here we propose a new mapping strategy to acquire the multitemporal and fractional information of the essential urban land cover types at a national scale through synergizing the advantage of both big data processing and human interpretation with the aid of geoknowledge. Firstly, the vector polygons of urban boundaries in 2000, 2005, 2010, 2015 and 2018 were extracted from China's Land Use/cover Dataset (CLUD) derived from Landsat images. Secondly, the national settlement and vegetation percentages were retrieved using a sub-pixel decomposition method through a random forest algorithm using the Google Earth Engine (GEE) platform. Finally, the products of China's UIS and UGS fractions (CLUD-Urban) at a 30 m resolution were developed in 2000, 2005, 2010, 2015 and 2018. We also compared our products with six existing mainstream datasets in terms of quality and accuracy. The assessment results showed that the CLUD-Urban product has higher accuracies in urban-boundary and urban-expansion detection than other products and in addition that the accurate UIS and UGS fractions were developed in each period. The overall accuracy of urban boundaries in 2000-2018 are over 92.65 %; and the correlation coefficient (R) and root mean square errors (RMSEs) of UIS and UGS fractions are 0.91 and 0.10 (UIS) and 0.89 and 0.11 (UGS), respectively. Our result indicates that 71 % of pixels of urban land were mosaicked by the UIS and UGS within cities in 2018; a single UIS classification may highly increase the mapping uncertainty. The high spatial heterogeneity of urban underlying covers was exhibited with average fractions of 68.21 % for UIS and 22.30 % for UGS in 2018 at a national scale. The UIS and UGS increased unprecedentedly with annual rates of 1605.56 and 627.78 km(2) yr(-1) in 2000-2018, driven by fast urbanization. The CLUD-Urban mapping can fill the knowledge gap in understanding impacts of the UIS and UGS patterns on ecosystem services and habitat environments and is valuable for detecting the hotspots of waterlogging and improving urban greening for planning and management practices. The datasets can be downloaded from https://doi.org/10.5281/zenodo.4034161 (Kuang et al., 2020a). |
| WOS关键词 | QUANTIFYING SPATIOTEMPORAL PATTERNS ; LAND-USE CHANGE ; TIME-SERIES ; RESEARCH PRIORITIES ; DYNAMICS 1985-2015 ; HUMAN-SETTLEMENTS ; DRIVING FORCES ; EXPANSION ; REQUIREMENTS ; GENERATION |
| 资助项目 | National Natural Science Foundation of China[41871343] ; Strategic Priority Research Program A of the Chinese Academy of Sciences[XDA23100201] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| WOS记录号 | WOS:000611020100001 |
| 资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program A of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136076]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Kuang, Wenhui |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 10049, Peoples R China 3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 4.Fujian Normal Univ, Sch Geog Sci, Fuzhou 350007, Peoples R China 5.Fujian Normal Univ, Fujian Prov Key Lab Subtrop Resources & Environm, Fuzhou 350007, Peoples R China |
| 推荐引用方式 GB/T 7714 | Kuang, Wenhui,Zhang, Shu,Li, Xiaoyong,et al. A 30 m resolution dataset of China's urban impervious surface area and green space, 2000-2018[J]. EARTH SYSTEM SCIENCE DATA,2021,13(1):63-82. |
| APA | Kuang, Wenhui,Zhang, Shu,Li, Xiaoyong,&Lu, Dengsheng.(2021).A 30 m resolution dataset of China's urban impervious surface area and green space, 2000-2018.EARTH SYSTEM SCIENCE DATA,13(1),63-82. |
| MLA | Kuang, Wenhui,et al."A 30 m resolution dataset of China's urban impervious surface area and green space, 2000-2018".EARTH SYSTEM SCIENCE DATA 13.1(2021):63-82. |
入库方式： OAI收割
来源：地理科学与资源研究所
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