Residential population estimation using a remote sensing derived impervious surface approach

被引：111
|
作者：
Lu, Dengsheng [1 ]
Weng, Qihao
Li, Guiying
机构：
[1] Indiana Univ, Ctr Study Inst Populat & Environm Change, Bloomington, IN 47408 USA
[2] Indiana State Univ, Dept Geog Geol & Anthropol, Terre Haute, IN 47809 USA
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 2006年 / 27卷 / 16期
基金：
美国国家航空航天局; 美国国家科学基金会;
关键词：
D O I：
10.1080/01431160600617202
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Residential population estimation was explored based on impervious surface coverage in Marion County, Indiana, USA. The impervious surface was developed by spectral unmixing of a Landsat Enhanced Thematic Mapper (ETM +) multispectral image. The residential impervious surface was then derived by geographic information system (GIS) overlay of residential land class and impervious surface. Regression analysis was conducted to develop population density estimation models. We found that the residential impervious surface-based approach provided the best population density estimation result, with mean and median relative errors of 38% and 23%, respectively. An overall population estimation error of -0.97% was achieved.
引用
收藏
页码：3553 / 3570
页数：18
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