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

EIA-0131801，阿肯色州保罗大学多鲁斯卡，BDEI：使用近距离遥感量化森林地面植物群生物量和多样性。摘要研究人员建议使用近距离遥感来估计单位面积生物量和森林地面植物物种多样性。地面植物生物量和多样性信息在描述森林生态系统、测量科学实验的结果和确定是否需要使用除草剂以减少林木作物中的意外竞争时是有用的。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和阿肯色州中部瓦奇塔山脉的松阔混交林的森林地面植物群、生物量和物种多样性。航空和/或星载图像已被用于估计森林植被生物量。然而，这样的平台不能用来估计森林底栖植物物种的生物量，因为(A)空间分辨率对于所需的细节级别来说太粗糙，以及(B)覆盖树冠的存在可能会阻碍此类图像的使用。该项目的目标是(1)确定是否可以通过近距离遥感收集这些指标，以及(2)确定一些森林地面植物物种的光谱特征。

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.