Biodiversity and Ecosystem Informatics - BDEI -Quantifying Forest Ground Flora Biomass and Diversity Using Close-Range Remote Sensing

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EIA-0131801Doruska, Paul University of ArkansasBDEI: Quantifying Forest Ground Flora Biomass and Diversity Using Close-Range Remote Sensing.SummaryResearchers propose the use of close-range remote sensing to estimate biomass perunit area and species diversity of forest ground flora. Ground flora biomass and diversityinformation is useful when describing forested ecosystems, gauging results in scientificexperiments and determining the need for herbicide application to reduce unwantedcompetition in forest crops. Scientists will use both color and color infrared digitalimagery to study forest ground flora biomass and species diversity of pine stands insoutheastern Arkansas and mixed pine-hardwood stands in the Ouachita Mountains incentral Arkansas.Airborne and/or space-borne imagery have been used to estimate forest overstorybiomass. However, such platforms cannot be used to estimate biomass of forest groundflora species because (a.) spatial resolution is too coarse for the required level of detail,and (b.) the presence of the overstory canopy can hinder use of such imagery. Theobjectives of this project are to (1) determine if these metrics can be collected throughclose-range remote sensing, and (2) identify spectral signatures for a number of speciesof forest ground flora.