2005Unpublished venueRequires access

ESTIMATION, MAPPING AND CHANGE ANALYIS OF IMPERVIOUS SURFACE AREA BY LANDSAT REMOTE SENSING

Marvin E. Bauer, Brian C. Loeffelholz, Bruce Wilson

Open publisher page 2 citations

Abstract

Increasing population, new development in lake and river recreation areas, and growing towns all translate into increasing impervious surface areas across Minnesota. As urban stormwater runoff from impervious areas can have profound negative impacts to receiving waters, it is a critical new component of statewide stormwater education and management efforts. This paper describes the methods and results of Landsat classification and mapping of impervious surface area for the entire state of Minnesota, including approximately 500 cities and high priority

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What this paper is about

Increasing population, new development in lake and river recreation areas, and growing towns all translate into increasing impervious surface areas across Minnesota. As urban stormwater runoff from impervious areas can have profound negative impacts to receiving waters, it is a critical new component of statewide stormwater education and management efforts. This paper describes the methods and results of Landsat classification and mapping of impervious surface area for the entire state of Minnesota, including approximately 500 cities and high priority

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Available abstract

Increasing population, new development in lake and river recreation areas, and growing towns all translate into increasing impervious surface areas across Minnesota. As urban stormwater runoff from impervious areas can have profound negative impacts to receiving waters, it is a critical new component of statewide stormwater education and management efforts. This paper describes the methods and results of Landsat classification and mapping of impervious surface area for the entire state of Minnesota, including approximately 500 cities and high priority

Key concepts: Impervious surface, Surface runoff, Stormwater, Environmental science, Hydrology (agriculture), Urban area, Population, Remote sensing

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