An Improved Index for Urban Population Distribution Mapping Based on Nighttime Lights (DMSP-OLS) Data: An Experiment in Riyadh Province, Saudi Arabia
文献类型：期刊论文
| 作者 | Alahmadi, Mohammed1; Mansour, Shawky2,3; Martin, David4; Atkinson, Peter M.4,5,6 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-03-01 |
| 卷号 | 13期号:6页码:23 |
| 关键词 | Saudi Arabia Riyadh population nighttime DMSP-OLS NTL land cover use |
| DOI | 10.3390/rs13061171 |
| 通讯作者 | Alahmadi, Mohammed(mhalahmadi@kacst.edu.sa) |
| 英文摘要 | Knowledge of the spatial pattern of the population is important. Census population data provide insufficient spatial information because they are released only for large geographic areas. Nighttime light (NTL) data have been utilized widely as an effective proxy for population mapping. However, the well-reported challenges of pixel overglow and saturation influence the applicability of the Defense Meteorological Program Operational Line-Scan System (DMSP-OLS) for accurate population mapping. This paper integrates three remotely sensed information sources, DMSP-OLS, vegetation, and bare land areas, to develop a novel index called the Vegetation-Bare Adjusted NTL Index (VBANTLI) to overcome the uncertainties in the DMSP-OLS data. The VBANTLI was applied to Riyadh province to downscale governorate-level census population for 2004 and 2010 to a gridded surface of 1 km resolution. The experimental results confirmed that the VBANTLI significantly reduced the overglow and saturation effects compared to widely applied indices such as the Human Settlement Index (HSI), Vegetation Adjusted Normalized Urban Index (VANUI), and radiance-calibrated NTL (RCNTL). The correlation coefficient between the census population and the RCNTL (R = 0.99) and VBANTLI (R = 0.98) was larger than for the HSI (R = 0.14) and VANUI (R = 0.81) products. In addition, Model 5 (VBANTLI) was the most accurate model with R-2 and mean relative error (MRE) values of 0.95% and 37%, respectively. |
| WOS关键词 | LAND-COVER ; TIME-SERIES ; URBANIZATION DYNAMICS ; IMPERVIOUS SURFACE ; CHINA ; MODIS ; EXPANSION ; DENSITY ; AREA ; IMAGERY |
| 资助项目 | King Abdulaziz City for Science and Technology (KACST) ; Royal Commission for Riyadh City (RCRC) ; General Authority for Statistics (GASTAT) |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000651938700001 |
| 出版者 | MDPI |
| 资助机构 | King Abdulaziz City for Science and Technology (KACST) ; Royal Commission for Riyadh City (RCRC) ; General Authority for Statistics (GASTAT) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/162635]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Alahmadi, Mohammed |
| 作者单位 | 1.King Abdulaziz City Sci & Technol, Space & Aeronaut Res Inst, Natl Ctr Remote Sensing Technol, POB 6086, Riyadh 11442, Saudi Arabia 2.Sultan Qaboos Univ, Coll Arts & Social Sci, Geog Dept, POB 42, Muscat 123, Oman 3.Alexandria Univ, Fac Arts, Dept Geog & GIS, POB 21526, Alexandria, Egypt 4.Univ Southampton, Geog & Environm, Southampton SO17 1BJ, Hants, England 5.Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YR, England 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Alahmadi, Mohammed,Mansour, Shawky,Martin, David,et al. An Improved Index for Urban Population Distribution Mapping Based on Nighttime Lights (DMSP-OLS) Data: An Experiment in Riyadh Province, Saudi Arabia[J]. REMOTE SENSING,2021,13(6):23. |
| APA | Alahmadi, Mohammed,Mansour, Shawky,Martin, David,&Atkinson, Peter M..(2021).An Improved Index for Urban Population Distribution Mapping Based on Nighttime Lights (DMSP-OLS) Data: An Experiment in Riyadh Province, Saudi Arabia.REMOTE SENSING,13(6),23. |
| MLA | Alahmadi, Mohammed,et al."An Improved Index for Urban Population Distribution Mapping Based on Nighttime Lights (DMSP-OLS) Data: An Experiment in Riyadh Province, Saudi Arabia".REMOTE SENSING 13.6(2021):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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