United States Department of Transportation
i
Highway runoff stormwater management potential (HRSMP) site characterization using NASA public domain imagery.
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2016-04-01
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[PDF-3.02 MB]
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Edition:Final report
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Abstract:The focus of this research project was the development of geospatial technology (GST) methodology to
characterize and evaluate highway runoff stormwater management potential (HRSMP) sites in order to
reduce their impact on properties, save lives and cut operational costs. Reduction of Total Maximum Daily
Load (TMDL), an important initiative of the SHA, could undoubtedly be achieved through the
development and use of GST (remote sensing, geographic information system (GIS), and differential
global positioning system (DGPS)). Field activities and groundtruthing were conducted at selected BMP
sites to better understand their conditions and the land use/land cover (LULC) types currently present at
these sites. Landsat images were assessed for quality-related issues including cloud cover and downloaded
from USGS. Based on the outcome of the image assessment, 5 Landsat TM and 1 Landsat OLI_TIRS
images which span from 1990 to 2015 were processed and analyzed using the Environment for Visualizing
Images (ENVI) software. LULC and the normalized difference vegetation index (NDVI) images were
created. Both LULC and NDVI values for the selected BMP sites, which were ranked by the SHA from I
(Good) to IV (Failed), were extracted and analyzed to determine their relationship with the performances.
The results from the LULC analyses suggested that vegetation was a major factor affecting the
performance of the BMP facilities; poor and failed sites showed the excessive overgrowth of vegetation.
Analysis of NDVI did not show definitive results, which might have been due to the relatively low spatial
resolution of the TM images. Use of higher spatial resolution such as IKONOS multispectral images in the
future could help resolve these inconsistencies.
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