期刊
SENSORS
卷 19, 期 14, 页码 -出版社
MDPI
DOI: 10.3390/s19143167
关键词
Luojia1-01; night-time light intensity (NTLI); community housing price (CHP); geographically weighted regression (GWR); small-scale; spatial analysis; quantitative modeling; potentiality; coupling mechanism
资金
- National Natural Science Foundation of China (NSFC) [41771493, 41101407]
- Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University [18T06]
- Natural Science Foundation of Hubei Province, China [2014CFB377, 2010CDZ005]
- Wuhan Youth Science and technology plan [2016070204010137]
- self-determined research funds of CCNU from the basic research and operation of MOE [CCNU19TS002]
The first professional night-time light remote sensing satellite in China, Luojia1-01, has raised the resolution of night-time light data to 130 m, which provides a possibility for the study of small-scale night-time light. This paper is the first research on spatial analysis and quantitative modeling between night-time light intensity (NTLI) and community housing price (CHP) on a small scale by using the Luojia1-01 night-time light imagery. This paper takes Wuhan as the research area, CHP data obtained by web-crawler technology as the research object, combines Luojia1-01 data, and carries out spatial correlation analysis and quantitative modeling on a small scale for them. The experimental results show that there is a strong linear positive correlation between the NTLI and CHP based on geographically weighted regression (GWR), and the CHP data in Wuhan have obvious spatial non-stationarity. Moreover, the coupling mechanism between the NTLI and CHP is also revealed. We can conclude that there is potential for estimating the CHP by using Luojia1-01 night-time light imagery.
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