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

EIA-0131801 Doruska，Paul University of ArkansasBDEI：Quantifying Forest Ground植物群Biomass and Diversity Using Close-Range Remote Sensing.摘要研究人员建议使用近距离遥感来估计单位面积的生物量和林地植物群的物种多样性。地面植物群生物量和多样性信息在描述森林生态系统、衡量科学实验结果和确定是否需要施用除草剂以减少森林作物中不必要的竞争时是有用的。科学家们将使用彩色和彩色红外数字图像来研究阿肯色州东南部的松林地面植物群生物量和物种多样性，以及阿肯色州中部沃希托山脉的混合松林-硬木林。然而，这种平台不能用来估计森林地面植物物种的生物量，因为（a）空间分辨率对于所需的细节水平来说太粗糙，以及（B.）上层林冠的存在会妨碍这种图像的使用。该项目的目标是（1）确定这些指标是否可以通过近距离遥感收集，（2）确定光谱特征的森林地面植物群的数量。

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.