A new map of global urban extent from MODIS satellite data

被引:595
作者
Schneider, A. [1 ]
Friedl, M. A. [2 ]
Potere, D. [3 ]
机构
[1] Univ Wisconsin, Ctr Sustainabil & Global Environm, Madison, WI 53726 USA
[2] Boston Univ, Dept Geog & Environm, Boston, MA 02215 USA
[3] Princeton Univ, Off Populat Res, Princeton, NJ 08544 USA
来源
ENVIRONMENTAL RESEARCH LETTERS | 2009年 / 4卷 / 04期
关键词
urban systems; cities; urbanization; land cover; ecoregions; global monitoring; remote sensing; decision trees; machine learning; data sets; LAND-COVER; CLASSIFICATION; DENSITY; LIGHTS; GROWTH; CITIES; AREAS; MODEL; WORLD;
D O I
10.1088/1748-9326/4/4/044003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Although only a small percentage of global land cover, urban areas significantly alter climate, biogeochemistry, and hydrology at local, regional, and global scales. To understand the impact of urban areas on these processes, high quality, regularly updated information on the urban environment-including maps that monitor location and extent-is essential. Here we present results from efforts to map the global distribution of urban land use at 500 m spatial resolution using remotely sensed data from the Moderate Resolution Imaging Spectroradiometer (MODIS). Our approach uses a supervised decision tree classification algorithm that we process using region-specific parameters. An accuracy assessment based on sites from a stratified random sample of 140 cities shows that the new map has an overall accuracy of 93% (k = 0.65) at the pixel level and a high level of agreement at the city scale (R-2 = 0.90). Our results (available at http://sage.wisc.edu/urbanenvironment.html) also reveal that the land footprint of cities occupies less than 0.5% of the Earth's total land area.
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页数:11
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