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Published on: October 16, 2018
Development and applications of a comprehensive land use classification and map for the US
1Conservation Science Partners, Inc., Fort Collins, Colorado, United States of America; Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, United States of America.
New land use maps reveal that low-density residential development covers most built-up areas in the US. This detailed mapping improves understanding of human modification and supports natural resource applications.
Area of Science:
- Environmental Science
- Geography
- Urban Planning
Background:
- Traditional land cover maps inadequately capture low-density, widespread human development.
- Existing datasets lack the detail to fully understand human modification extent and complexity.
- Complementary land use data are crucial for a comprehensive view of land transformation.
Purpose of the Study:
- To develop a comprehensive land use classification system.
- To create a high-resolution land use map for the conterminous United States.
- To analyze patterns of human land use and their implications for natural resource management.
Main Methods:
- Spatial analysis of nearly two dozen national spatial datasets.
- Integration of census housing, employment, infrastructure, and satellite land cover data.
- Development of 79 distinct land use classes within five main groups: built-up, production, recreation, conservation, and water.
Main Results:
- Built-up areas constitute 13.6% of the mainland US, with low-density residential use dominating (9.1%).
- Intensive built-up land uses (commercial, industrial, institutional, infrastructure) comprise 4.5% of the US.
- Quantified ratios of various intensive land uses relative to urban/suburban residential areas.
Conclusions:
- The developed land use database offers a detailed understanding of human modification across the US.
- Findings highlight the significant extent of low-density development, impacting land use planning.
- The database supports diverse applications, including smart-growth planning, urban footprint analysis, and conflict area identification.
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