SBIR/STTR Research Award

Advanced Remote Sensing Methods for Cogongrass Mapping

Award identifier 27b2a09f8992c691eb9849a0b8109785c65048e657287963b55890fb0ca7d510Awarding agency Department of Agriculture

Award amount

$80,000

Program and phase

SBIR · Phase I

Award year

2009

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Award details

Awarding agency
Department of Agriculture
Branch
Not reported
Recipient company
GeoVantage Incorporated
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Cogongrass is recognized as one of the most significant invasive species in the U.S. Cogongrass is a growing threat as it continues its rapid spread across the Southeast, reducing forest and pasture productivity, destroying wildlife habitat, impacting rights of ways and presenting an extreme fire hazard. Throughout the World it has gained notoriety as the "Worst Invasive Plant of Non-crop Lands". Treatment methods by chemical application can be effective. Detailed highly accurate mapping of cogongrass boundaries can be used to form a spatial prescription of chemical applications. The objective of this research is to develop cost-effective mapping methods using airborne imagery. The imagery can be used to classify the exact cogongrass extent and boundaries and to establish chemical application rates and geographic placement to achieve maximum effectivness at minimum cost. Followup imagery can be used to determine the effectiveness of the treatment. Cogongrass grows in distinctive patterns and has a characteristic color. Very high resolution imagery will allow distinguishing the well-defined cogongrass regions by a visual inspection. However, imagery at very high resolution will be too expensive for wide area use. Thus linear stips of high-resolution imagery will be collected simultaneously with more afforadble coarse contiguous data as a way to enable interpretation of the coarse data.

Technology keywords

Not reported

Agency intelligence

Department of Agriculture

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