利用珞珈一号01星夜间灯光影像估算城市社区房价的潜力——以中国武汉为例

Potentiality of Using Luojia1-01 Night-Time Light Imagery to Estimate Urban Community Housing Price-A Case Study in Wuhan, China.

作者信息

Li Chang, Zou Linqing, Wu Yijin, Xu Huimin

机构信息

Key Laboratory for Geographical Process Analysis & Simulation, Hubei Province, Central China Normal University, Wuhan 430079, China.

College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China.

出版信息

Sensors (Basel). 2019 Jul 18;19(14):3167. doi: 10.3390/s19143167.

DOI:10.3390/s19143167

PMID:31323879

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6679559/

Abstract

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.

摘要

我国首颗专业夜间灯光遥感卫星“珞珈一号”01星将夜间灯光数据分辨率提高到了130米，为小尺度夜间灯光研究提供了可能。本文首次利用“珞珈一号”01星夜间灯光影像，对小尺度下夜间灯光强度（NTLI）与社区房价（CHP）之间进行空间分析和定量建模研究。本文以武汉为研究区域，以通过网络爬虫技术获取的CHP数据为研究对象，结合“珞珈一号”01星数据，对其进行小尺度的空间相关性分析和定量建模。实验结果表明，基于地理加权回归（GWR）的NTLI与CHP之间存在较强的线性正相关，且武汉的CHP数据具有明显的空间非平稳性。此外，还揭示了NTLI与CHP之间的耦合机制。可以得出结论，利用“珞珈一号”01星夜间灯光影像估算CHP具有潜力。