DocumentCode :
2697612
Title :
Monitoring the Extent and Intensity of Urban Areas Globally using the Fusion of MODIS 500m Resolution Satellite Imagery and Ancillary Data Sources
Author :
Schneider, Annemarie ; Friedl, Mark A. ; Potere, David
Author_Institution :
Center for Sustainability & the Global Environ., Univ. of Wisconsin-Madison, Madison, WI
Volume :
5
fYear :
2008
fDate :
7-11 July 2008
Abstract :
Although only a small percentage of global land cover, urban areas significantly alter climate, biogeochemistry, and hydrology at local, regional, and global scales. Despite the fact that three billion people live in cities, information related to global geographic patterns in urban extent and density is poor. Here we present results from efforts to map the global distribution of urban land use at 463 m spatial resolution using remotely sensed data from MODIS. Our approach uses a supervised decision tree classification algorithm that we process using region-specific parameters. The resulting map shows that urban areas occupy only 0.5-1.0 percent of the Earth´s land area. Because resource and energy consumption is concentrated in urban areas, the geographic distribution and intensity of urban land use has important implications for models and related studies that require information related to role of humans in the global environment.
Keywords :
decision trees; geographic information systems; geophysical signal processing; image fusion; image resolution; learning (artificial intelligence); remote sensing; MODIS satellite imagery; ancillary data sources; biogeochemistry; climate; energy consumption; global geographic pattern; global land cover; hydrology; image fusion; image resolution; resource consumption; supervised decision tree classification; urban areas; urban land use; Cities and towns; Classification tree analysis; Decision trees; Hydrology; Image resolution; MODIS; Monitoring; Satellites; Spatial resolution; Urban areas; Cities; decision trees; land cover; machine learning; urbanization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4780099
Filename :
4780099
Link To Document :
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