Mapping the Urban Population in Residential Neighborhoods by Integrating Remote Sensing and Crowdsourcing Data
文献类型：期刊论文
| 作者 | Jing, Chuanbao; Zhou, Weiqi; Qian, Yuguo; Yan, Jingli |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2020-10 |
| 卷号 | 12期号:19页码:1-11 |
| 关键词 | urban population estimation remote sensing fine-scale census dasymetric mapping nighttime light |
| 英文摘要 | Where urban dwellers live at a fine scale is essential for the planning of services and response to city emergencies. Currently, most existing population mapping approaches considered census data as observational data for specifying models. However, census data usually have low spatial resolution and low frequency. Here, we presented a framework for mapping populations in residential neighborhoods with 30 m spatial resolution with little dependency upon census data. The framework integrated remote sensing and crowdsourcing data. The observational populations and number of households at residential neighborhood scale were obtained from real-time crowdsourcing data instead of census data. We tested our framework in Beijing. We found that (1) the number of households from a real estate trade platform could be a good proxy for accurate observational population. (2) The accuracy of the mapping population in residential neighborhoods was reasonable. The mean absolute percentage error was 47.26% and the R-2 was 0.78. (3) Our framework shows great potential in mapping the population in real time. Our findings expand the knowledge in estimating urban population. In addition, the proposed framework and approach provide an effective means to quantify population distribution data for cities, which is particularly important for many of the cities worldwide lacking census data at the residential neighborhood scale. |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/44372]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Jing, Chuanbao,Zhou, Weiqi,Qian, Yuguo,et al. Mapping the Urban Population in Residential Neighborhoods by Integrating Remote Sensing and Crowdsourcing Data[J]. REMOTE SENSING,2020,12(19):1-11. |
| APA | Jing, Chuanbao,Zhou, Weiqi,Qian, Yuguo,&Yan, Jingli.(2020).Mapping the Urban Population in Residential Neighborhoods by Integrating Remote Sensing and Crowdsourcing Data.REMOTE SENSING,12(19),1-11. |
| MLA | Jing, Chuanbao,et al."Mapping the Urban Population in Residential Neighborhoods by Integrating Remote Sensing and Crowdsourcing Data".REMOTE SENSING 12.19(2020):1-11. |
入库方式： OAI收割
来源：生态环境研究中心
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