长江流域资源与环境 >> 2013, Vol. 22 >> Issue (06): 729-.

• 自然资源 • 上一篇    下一篇

基于多源遥感数据及DEM的人口统计数据空间化——以浙江省为例

杨续超 | 高大伟 | 丁明军 || 刘林山   

  1. (1.浙江省气象科学研究所|浙江 杭州 310008; 2.浙江省气候中心|浙江 杭州 310017;3.江西师范大学鄱阳湖湿地与流域研究教育部重点实验室|江西 南昌330022|4.中国科学院地理科学与资源研究所|北京 100101
  • 出版日期:2013-06-20

MODELING POPULATION DENSITY USING MULTISENSOR REMOTE SENSING DATA AND DEM: A CASE STUDY OF ZHEJIANG PROVINCE

YANG Xuchao1| GAO Dawei2| DING Mingjun3| LIU Linshan4   

  1. (1.Zhejiang Institute of Meteorological Sciences|Hangzhou 310008| China|2.Zhejiang Province Climate Center|Hangzhou 310017|China|3.Key Lab of Poyang Lake Wetland and Watershed Research|Ministry of Education (Jiangxi Normal University)|Nanchang 330022|China; 4.Institute of Geographic Sciences and Natural Resources Research|Chinese Academy of Science|Beijing 100101|China
  • Online:2013-06-20

摘要:

利用DMSP/OLS遥感夜间灯光数据进行人口等社会经济数据的空间化时,往往受到其较低的空间分辨率、像元过饱和以及像元溢出现象的影响。植被指数(如NDVI)与不透水面呈负相关关系,与夜间灯光数据在反映人类活动、提取建成区方面可以互补,将这两种数据融合可以有效减少夜灯数据像元过饱和等因素引起的误差。通过进一步融合DEM数据对基于DMSP/OLS夜间灯光数据和NDVI构建的人居指数进行了海拔修正,基于修正后的人居指数与统计人口之间很强的线性相关建立人口空间化模型,获得2010年浙江省1 km×1 km分辨率下的人口密度空间分布。模拟结果显示,浙江省平均人口密度为515人/km2,模拟的平均相对误差为183%,相比海拔订正前的模拟误差减少约5%,表明利用多源遥感数据融合后的人居指数在省级尺度上模拟人口空间分布的精度较高

Abstract:

In order to bridge the gap between aggregated census data and geocoded data,different dasymetric mapping techniques were developed to disaggregate census data.The satellitemeasured DMSP/OLS nighttime light data was widely used for regional level mapping of socioeconomic activities due to its high temporal resolution,free availability and wide swath.However,due to the coarse resolution,data saturation and overglow effects of DMSP/OLS data,any application need to take into account the limitations of using this data source.Firstly,although the DMSP/OLS sensor has a nominal resolution of 1 km,this has been resampled from the 27 km native resolution of the sensor.The coarse resolution of the nighttime lights data lower the accuracy of dasymetric mapping.Secondly,the overglow effect due to surface reflection and scattering and refraction in the atmosphere results in the overestimation of lighted areas.Thirdly,the low radiometric resolution of 6 bits (i.e.the digital number value ranges from 0 and 63) results in data saturation over brightly light builtup areas.Vegetation indexes like Normalized Difference Vegetation Index (NDVI) are negatively correlated with the impervious surfaces and can be used for estimation of builtup areas.The incorporation of vegetation index (NDVI) can reduce the errors occurring in estimating human settlements from the DMSP/OLS nighttime light imagery due to data saturation and other factors.In addition,elevation is an important variable in population distribution modeling because most human settlements occur on lower elevation in China.This paper provides an approach for rapid and accurate estimation of population on a per pixelbasis using a integration of two coarse spatial resolution remote sensing data namely DMSP/OLS and SPOT NDVI,as well as the DEM data.The DMSP/OLS stable nighttime light image for year 2010 was firstly combined with SPOT NDVI data to develop a Human Settlement Index (HSI) image.Due to the complementary characteristics between DMSP/OLS data and NDVI,the resultant HSI image conveys more information than both the individual datasets.Then the DEM was involved in the HSI.The model for population density estimation was developed based on the significant linear correlation between the population and HSI with elevation effect correction.The HSI image for year 2010 was then used for modeling the population density of Zhejiang Province at a resolution of 1 km×1 km.The results showed that the error of population estimates was reduced by approximately 5 percent due to the elevation effect correction of HSI.8861% of total population in Zhejiang distributed in areas with an elevation lower than 500 m.The average population density of Zhejiang Province was 515 people/km2 and the mean relative error was 183%.The present paper provides a integrated approach for rapid and accurate estimation of population at regional scale using coarse spatial resolution images.The DMSP/OLS nighttime light imagery,SPOT NDVI and DEM data for any region can be freely downloaded.Hence,the approach developed in this paper can be used to map the population distribution in other regions of China

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 吕东亮. 汉江水质优于长江的原因刍议[J]. 长江流域资源与环境, 2006, 15(Sup1): 102 -104 .
[2] 彭刚华,黄良英. 长江水质评价和预测模型探讨[J]. 长江流域资源与环境, 2006, 15(Sup1): 77 -82 .
[3] 张 雷,吴映梅. 长江干流地区区域发展与国家工业化[J]. 长江流域资源与环境, 2005, 14(5): 633 -637 .
[4] 魏 伟,周 婕,许 峰. 大城市边缘区土地利用时空格局模拟——以武汉市洪山区为例[J]. 长江流域资源与环境, 2006, 15(2): 174 -179 .
[5] 李友辉,董增川,孔琼菊. 廖坊水利工程对抚河流域生态承载力的影响分析[J]. 长江流域资源与环境, 2008, 17(1): 148 .
[6] 刘丛强 汪福顺 王雨春 王宝利. 河流筑坝拦截的水环境响应——来自地球化学的视角[J]. 长江流域资源与环境, 2009, 18(4): 384 .
[7] 袁 丰 陈江龙 吴 威 薛俊菲. 江苏省沿江开发区空间分工、制造业集聚与转移[J]. 长江流域资源与环境, 2009, 18(5): 403 .
[8] 张 静, 钱 瑜, 张玉超. 基于GIS的景观生态功能指标分析[J]. 长江流域资源与环境, 2010, 19(03): 299 .
[9] 汪志聪, 吴卫菊, 左明, 李敦海. 巢湖浮游植物群落生态位的研究[J]. 长江流域资源与环境, 2010, 19(06): 685 .
[10] 郭广慧, 宋波. 城市土壤重金属含量及其对儿童健康风险的初步评价——以四川省宜宾市为例[J]. 长江流域资源与环境, 2010, 19(8): 946 .