Evaluating the Dynamic Changes of Urban Land and Its Fractional Covers in Africa from 2000-2020 Using Time Series of Remotely Sensed Images on the Big Data Platform
文献类型：期刊论文
| 作者 | Yin, Zherui2; Kuang, Wenhui3; Bao, Yuhai4; Dou, Yinyin3; Chi, Wenfeng5; Ochege, Friday Uchenna1,6; Pan, Tao7,8 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 13期号:21页码:21 |
| 关键词 | urban land mapping remotely sensed images impervious surface area fraction vegetation space fraction the whole Africa |
| DOI | 10.3390/rs13214288 |
| 通讯作者 | Kuang, Wenhui(kuangwh@igsmr.ac.cn) |
| 英文摘要 | Dramatic urban land expansion and its internal sub-fraction change during 2000-2020 have taken place in Africa; however, the investigation of their spatial heterogeneity and dynamic change monitoring at the continental scale are rarely reported. Taking the whole of Africa as a study area, the synergic approach of normalized settlement density index and random forest was applied to assess urban land and its sub-land fractions (i.e., impervious surface area and vegetation space) in Africa, through time series of remotely sensed images on a cloud computing platform. The generated 30-m resolution urban land/sub-land products displayed good accuracy, with comprehensive accuracy of over 90%. During 2000-2020, the evaluated urban land throughout Africa increased from 1.93 x 10(4) km(2) to 4.18 x 10(4) km(2), with a total expansion rate of 116.49%, and the expanded urban area of the top six countries accounted for more than half of the total increments, meaning that the urban expansion was concentrated in several major countries. A turning green Africa was observed, with a continuously increasing ratio of vegetation space to built-up area and a faster increment of vegetation space than impervious surface area (i.e., 134.43% vs., 108.88%) within urban regions. A better living environment was also found in different urbanized regions, as the newly expanded urban area was characterized by lower impervious surface area fraction and higher vegetation fraction compared with the original urban area. Similarly, the humid/semi-humid regions also displayed a better living environment than arid/semi-arid regions. The relationship between socioeconomic development factors (i.e., gross domestic product and urban population) and impervious surface area was investigated and both passed the significance test (p < 0.05), with a higher fit value in the former than the latter. Overall, urban land and its fractional land cover change in Africa during 2000-2020 promoted the well-being of human settlements, indicating the positive effect on environments. |
| WOS关键词 | IMPERVIOUS SURFACE-AREA ; ECOSYSTEM SERVICES ; CHINA ; CARBON ; URBANIZATION ; TEMPERATURE ; EXPANSION ; PATTERNS ; HEALTH ; CLASSIFICATION |
| 资助项目 | Special Project of Global Space Remote Sensing Information Submission and Annual Report from the Ministry of Science and Technology[1061302600001] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000719331500001 |
| 出版者 | MDPI |
| 资助机构 | Special Project of Global Space Remote Sensing Information Submission and Annual Report from the Ministry of Science and Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167747]  |
| 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, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, 818 South Beijing Rd, Urumqi 830011, Peoples R China 2.Qufu Normal Univ, Rizhao Campus Off, Rizhao 276826, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 4.Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China 5.Inner Mongolia Univ Finance & Econ, Coll Resources & Environm Econ, Hohhot 010070, Inner Mongolia, Peoples R China 6.Univ Port Harcourt, Dept Geog & Environm Management, PMB 5323 Choba, Port Harcourt 999062, Nigeria 7.Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276826, Peoples R China 8.Qufu Normal Univ, Ctr Land Studies, Rizhao 276826, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Zherui,Kuang, Wenhui,Bao, Yuhai,et al. Evaluating the Dynamic Changes of Urban Land and Its Fractional Covers in Africa from 2000-2020 Using Time Series of Remotely Sensed Images on the Big Data Platform[J]. REMOTE SENSING,2021,13(21):21. |
| APA | Yin, Zherui.,Kuang, Wenhui.,Bao, Yuhai.,Dou, Yinyin.,Chi, Wenfeng.,...&Pan, Tao.(2021).Evaluating the Dynamic Changes of Urban Land and Its Fractional Covers in Africa from 2000-2020 Using Time Series of Remotely Sensed Images on the Big Data Platform.REMOTE SENSING,13(21),21. |
| MLA | Yin, Zherui,et al."Evaluating the Dynamic Changes of Urban Land and Its Fractional Covers in Africa from 2000-2020 Using Time Series of Remotely Sensed Images on the Big Data Platform".REMOTE SENSING 13.21(2021):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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