Impervious surface mapping using satellite remote sensing

M. E. Bauer, J. K. Doyle, N. J. Heinert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

Landsat TM data have been used to map the percentage of impervious surface area of the seven-county Twin Cities Metropolitan Area in 1991, 1998 and 2000. Following classification of land cover types, a regression model relating percent impervious surface area to "tasseled cap" greenness was used to estimate the percent impervious surface area for pixels classified as urban or developed. Eighty to 90 percent of the variation in imperviousness is accounted for by greenness. Classification of the Landsat TM data provides a means to map and quantify the degree of impervious surface area, an indicator of environmental quality, over large areas and over time at modest cost.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Pages2334-2336
Number of pages3
Volume4
StatePublished - Jan 1 2002
Event2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada
Duration: Jun 24 2002Jun 28 2002

Other

Other2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
CountryCanada
CityToronto, Ont.
Period6/24/026/28/02

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    Bauer, M. E., Doyle, J. K., & Heinert, N. J. (2002). Impervious surface mapping using satellite remote sensing. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 4, pp. 2334-2336)