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The contents of this report reflect the views of the author(s), who is responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the Virginia Department of Transportation, the Commonwealth Transportation Board, or the Federal Highway Administration. This report does not constitute a standard, specification, or regulation. Any inclusion of manufacturer names, trade names, or trademarks is for identification purposes only and is not to be considered an endorsement.


Digital Multispectral Videography for the Capture of Environmental Data Sets
Anderson, John E.,
G. Michael Fitch
G. Michael Fitch
Year: 2000
VTRC No.: 01-R5
Abstract: The Virginia Department of Transportation's (VDOT) Environmental Division frequently uses spatial information to analyze and assess a variety of environmental resources. Environmental personnel are constantly looking for faster and more accurate means of collecting and managing these data. Digital multispectral videography (DMSV) is a data collection technology that has shown great potential in other areas where remote sensing data are used. DMSV provides digital frame coverage in four spectral bands for color infrared imaging, allowing for the detection of soils, vegetation, water bodies, chemically contaminated areas, and various other resources. This type of remote sensing differs from traditional methods in that sensor bandpass or wavelengths are typically ±25 nm wide as opposed to the more typical 100+ nm wavelengths. The purpose of this research was to test the feasibility of using DMSV for some of VDOT's environmental data acquisition needs. This was accomplished by using the technology to capture imagery-based data sets and then developing a procedure for transforming the image data into geo-referenced vector data sets. The vector data were analyzed spatially, and the advantages and shortcomings of the technology were documented during this process. DMSV was very effective in identifying and classifying major plant communities in VDOT's wetland mitigation sites. Data were quickly collected, corrected, classified, and imported into an ArcView-based geographic information system. From there, the data sets could be analyzed and stored for further query and manipulation.