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https://hdl.handle.net/11681/3662| Title: | An automated procedure to monitor urban encroachment over time on Fort Benning military installation |
| Authors: | Ecosystem Characterization and Monitoring Initiative (U.S.) Strategic Environmental Research and Development Program (U.S.) Jackson, Samuel S. Bourne, Scott G. |
| Keywords: | Remote-sensing images Urbanization Urban encroachment Fort Benning Georgia Ecosystems Ecology Environmental management Ecosystem management |
| Publisher: | Environmental Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
| Description: | Technical Note Purpose: Concerns about the effects of urban encroachment occurring near military installations continue to grow. Urban encroachment impacts both the civilian population and the military installation. Urban growth and development negatively influence a military installation’s ability to conduct training and maintain combat readiness, and they hinder the viability of the installation itself. The primary objective of this study was to monitor urban encroachment at Fort Benning, GA. A secondary objective was to utilize an efficient, more automated approach in extracting urban features from satellite imagery. This effort supports the long-term baseline ecosystem monitoring plan under the Strategic Environmental Research and Development Program (SERDP), Ecosystem Management Project (SEMP), Ecosystem Characterization and Monitoring Initiative (ECMI). Feature Analyst (version 3.4) assisted feature extraction software developed by Visual Learning Systems, was used in this study to monitor the extent and location of urban expansion occurring near the installation. Landsat 7 ETM data, used to complete the Fort Benning land-cover classifications, were already available and though perhaps not optimal for this type of analysis, were assessed for suitability in urban extraction. The 28.5-m ETM data were acquired during leaf-off conditions for the years 1999, 2001, and 2003. To monitor urban growth over time, a trend analysis was performed based on urban delineations from these two-year time intervals beginning in 1999 and continuing to 2003. This technical note (TN) describes the procedures used to extract characteristic urban features from the available satellite imagery and evaluates urban growth over time. |
| Rights: | Approved for public release; distribution is unlimited. |
| URI: | http://hdl.handle.net/11681/3662 |
| Appears in Collections: | Technical Note |
