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Using land-cover data to understand effects of agricultural and urban development on regional water quality

General Information Product 113
By:  and 
https://doi.org/10.3133/gip113

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Abstract

The Land-Cover Trends project is a collaborative effort between the Geographic Analysis and Monitoring Program of the U.S. Geological Survey (USGS), the U.S. Environmental Protection Agency (EPA) and the National Aeronautics and Space Administration (NASA) to understand the rates, trends, causes, and consequences of contemporary land-use and land-cover change in the United States. The data produced from this research can lead to an enriched understanding of the drivers of future landuse change, effects on environmental systems, and any associated feedbacks. USGS scientists are using the EPA Level III ecoregions as the geographic framework to process geospatial data collected between 1973 and 2000 to characterize ecosystem responses to land-use changes. General land-cover classes for these periods were interpreted from Landsat Multispectral Scanner, Thematic Mapper, and Enhanced Thematic Mapper Plus imagery to categorize and evaluate land-cover change using a modified Anderson Land-Use/Land-Cover Classification System for image interpretation.

Suggested Citation

Karstensen, K.A., and Warner, K., 2010, Using land-cover data to understand effects of agricultural and urban development on regional water quality: U.S. Geological Survey General Information Product 113, , https://doi.org/10.3133/gip113.

ISSN: 2332-354X (online)

ISSN: 2332-3531 (print)

Study Area

Publication type Report
Publication Subtype USGS Numbered Series
Title Using land-cover data to understand effects of agricultural and urban development on regional water quality
Series title General Information Product
Series number 113
DOI 10.3133/gip113
Year Published 2010
Language ENGLISH
Publisher U.S. Geological Survey
Contributing office(s) Mid-Continent Geographic Science Center
Description
Projection Albers Projection
Online Only (Y/N) N
Additional Online Files (Y/N) Y
Additional publication details