利用高分影像和珞珈一号数据进行住房空置率高精度空间估算

doi:10.13474/j.cnki.11-2246.2021.0008

测绘通报 ›› 2021, Vol. 0 ›› Issue (1): 41-46,52.doi: 10.13474/j.cnki.11-2246.2021.0008

利用高分影像和珞珈一号数据进行住房空置率高精度空间估算

张栋^1,2, 李德平^1,2, 周亮^1,2, 黄金侠^1,2, 高航^1,2, 王嘉丞^1,2, 马宇^1,2

1. 湖南师范大学资源与环境科学学院, 湖南长沙 410081;
2. 湖南师范大学地理空间大数据挖掘与应用湖南省重点实验室, 湖南长沙 410081

收稿日期:2020-03-12 发布日期:2021-02-08
通讯作者: 李德平。E-mail:lideping106@aliyun.com
作者简介:张栋(1996-),女,硕士生,主要研究方向为社会经济指标空间离散化。E-mail:zhangdong_1128@163.com
基金资助:
湖南省教育厅科学研究重点项目（18A014）

High precision space estimation of housing vacancy rate using high resolution image and Luojia-1

ZHANG Dong^1,2, LI Deping^1,2, ZHOU Liang^1,2, HUANG Jinxia^1,2, GAO Hang^1,2, WANG Jiacheng^1,2, MA Yu^1,2

1. College of Resources and Environmental Science, Hunan Normal University, Changsha 410081, China;
2. Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China

Received:2020-03-12 Published:2021-02-08

摘要/Abstract

摘要： 本文主要利用珞珈一号夜间灯光数据和高分遥感影像数据，提出了一种对研究区按建成区高层区、建成区低层区和非建成区住房进行空置率分区块估算的方法，采用夜晚实地记录的方法对估算结果进行精度检验，并通过LISA聚集图分析其空间聚集情况。表明结果：①研究区整体住房空置率为17.88%，均方根误差为0.14，其中非建成区的住房空置率整体上要高于建成区，而满置率却低于建成区；②研究区住房空置率呈高高集聚和低低集聚两种空间集聚特征，为进一步大范围了解农村地区住房情况及整体的空间分布规律提供了参考。

关键词: 住房空置率, 建成区和非建成区, 珞珈一号夜间灯光数据, LISA自相关分析

Abstract: To estimate the house vacancy rate, this paper proposes a method that divides the study area into three parts: high-rise area in the built-up area, low-rise area in the built-up area and non-built-up area. In this method,the accuracy of the estimated results is tested by “night field record”, and the local indicators of spatial association (LISA) is used to analyze its spatial aggregation.It can be found from the results that, ① The overall house vacancy rates in the study area are 17.88%.The root-mean-square error is 0.14. The house vacancy rates in non-built-up areas are higher than that in built-up areas, while the full occupancy rates are lower than that in built-up areas. ② The house vacancy rates in the study area present two spatial agglomeration characteristics: H-H agglomeration and L-L agglomeration. It provides a reference for further information about the vacancy rates of houses in rural areas and the spatial distribution regularity of house vacancy.

Key words: house vacancy rate, the built-up area and non-built-up area, Luojia-1 night light date, LISA

中图分类号:

P237

张栋, 李德平, 周亮, 黄金侠, 高航, 王嘉丞, 马宇. 利用高分影像和珞珈一号数据进行住房空置率高精度空间估算[J]. 测绘通报, 2021, 0(1): 41-46,52.

ZHANG Dong, LI Deping, ZHOU Liang, HUANG Jinxia, GAO Hang, WANG Jiacheng, MA Yu. High precision space estimation of housing vacancy rate using high resolution image and Luojia-1[J]. Bulletin of Surveying and Mapping, 2021, 0(1): 41-46,52.

参考文献

[1] CHEN M,LIU W,TAO X. Evolution and assessment on China's urbanization 1960-2010:under-urbanization or over-urbanization?[J]. Habitat International, 2013, 38(1):25-33.
[2] CHEN M, LIU W,LU D. Challenges and the way forward in China's new-type urbanization[J]. Land Use Policy, 2016, 55:334-339.
[3] YAO Y L,LI Y.House vacancy at urban areas in China with nocturnal light data of DMSP-OLS[C]//Proceedings of the 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services.Fuzhou:IEEE, 2011:457-462.
[4] JIN X B,LONG Y,SUN W,et al.Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data[J].Cities, 2017,63:98-109.
[5] CHEN Z,YU B, HU Y,et al. Estimating house vacancy rate in metropolitan areas using NPP-VⅡRS nighttime light composite data[J]. IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing, 2015, 8(5):2188-2197.
[6] WANG L,FAN H,WANG Y. An estimation of housing vacancy rate using NPPVⅡRS night-time light data and OpenStreetMap data[J]. International Journal of Remote Sensing, 2019,40(3):8566-8588.
[7] XIA C,ANTHONY G,ZHANG A Q.Analyzing spatial relationships between urban land use intensity and urban vitality at street block level:a case study of five Chinese megacities[J].Landscape and Urban Planning, 2020, 193:1-18.
[8] DU M Z, WANG L, ZOU S Y,et al. Modeling the census tract level housing vacancy rate with the Jilin1-03 satellite and other geospatial data[J]. Remote Sensing, 2018,10(12):1-20.
[9] ZHANG C C, JIA S, YANG D R,et al. Housing affordability and housing vacancy in China:the role of income inequality[J].Journal of Housing Economics, 2016(33):4-14.
[10] JEONG-IL P.A multilevel model approach for assessing the effects of house and neighborhood characteristics on housing vacancy:a case of Daegu,South Korea[J].Sustainability, 2019,11(9):1-13.
[11] 钟亮,刘小生.珞珈一号新型夜间灯光数据应用潜力分析[J].测绘通报,2019(7):132-137.
[12] 胡云锋,赵冠华,张千力.基于夜间灯光与LUC数据的川渝地区人口空间化研究[J].地球信息科学学报,2018,20(1):68-78.
[13] LI X,XU H,CHEN X L,et al.Potential of NPP-VⅡRS nighttime light imagery for modeling the regional economy of China[J].Remote Sensing,2013,5(6):3057-3081.
[14] 许玲丽,颜梅春.多源信息多尺度视角的南京市街道级人口模拟研究[J].测绘通报,2019(2):71-75.
[15] 罗阳欢,祝善友,张桂欣,等.南京市秦淮区昼夜人口空间分布估算与分析[J].长江流域资源与环境,2018,27(5):1020-1030.
[16] 厉飞,闫庆武,邹雅婧,等.利用POI提高夜间灯光数据提取建成区的精度研究——以珞珈一号01星和NPP/VⅡRS数据为例[J].武汉大学学报(信息科学版).DOI:10.13203/j.whugis20190266.

利用高分影像和珞珈一号数据进行住房空置率高精度空间估算

High precision space estimation of housing vacancy rate using high resolution image and Luojia-1

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

本文评价