首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Continuous Fields From Imaging Spectrometer Data for Ecosystem Parameter Mapping and Their Potential for Animal Habitat Assessment in Alpine Regions
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Continuous Fields From Imaging Spectrometer Data for Ecosystem Parameter Mapping and Their Potential for Animal Habitat Assessment in Alpine Regions

机译:成像光谱仪数据的连续场用于生态系统参数映射及其在高寒地区动物栖息地评估中的潜力

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摘要

Remote sensing offers an objective and efficient way to monitor ecosystem properties including their spatial variability across different land cover types. Especially, the representation of gradients of biochemical and structural properties of ecosystems using continuous fields (CF) approaches bears advantages compared to discrete land cover classification schemes. This paper presents a concept to synergistically generate CF maps of an alpine ecosystem parameter, i.e., total surface water content, from imaging spectrometer (IS) data. Further, the potential of linking such maps to ecological patterns, i.e., the spatial distribution of large ungulates is being assessed. In vegetated areas, total surface water content is considered as a surrogate of plant physiological status. Water is, besides temperature, light, or nutrients, an important limiting growth factor determining biomass production and therefore potential animal forage quantity in alpine grasslands. Resource ecology interested in trophic interactions between large ungulates and their forage requires spatial and temporal information on ecosystem properties and processes. The study area is located in the upper Trupchun Valley (Val Trupchun) in the Swiss National Park (SNP). The valley is famous for its high densities of chamois (Rupicapra rupicapra L.), ibex (Capra ibex L.), and red deer (Cervus elaphus L.). CF maps of total surface water content were derived from Airborne Prism EXperiment (APEX) IS data collected over the SNP in June 2010 and 2011. Abundance maps of predominant land cover classes were derived from linear spectral mixture analysis (SMA). They were then combined with water content information of the respective land cover originating from either empirically or physically based approaches. The resulting CF maps depicted a spatially continuous representation of relative total surface water content. APEX IS data from two consecut- ve seasons revealed differences in total surface water content in June 2010 and 2011, predominantly related to an advanced phenological development in spring 2011 and to considerable differences in snow cover between the 2 years. Linking total surface water content of grasslands to observed ungulates spatial distributions did not reveal any statistically significant patterns of habitat use. We conclude that water availability in Val Trupchun may not be the dominant limiting factor for potential forage quantity (biomass), or that ungulates choose their grazing sites based on other criteria, i.e., high nutritious quality (P, N). Nevertheless, multitemporal CF maps derived from APEX IS data were found to provide spatially explicit and fine-scaled information for analyses of an ecosystem’s total surface water content. The combination of multitemporal CF maps of a wide range of ecosystem parameters and more accurate and extensive observations of animal habitat use will contribute to ongoing and future vegetation-ungulates research in the SNP.
机译:遥感提供了一种客观有效的方法来监测生态系统特性,包括其在不同土地覆盖类型之间的空间变异性。特别是,与离散土地覆盖分类方案相比,使用连续场(CF)方法表示生态系统生物化学和结构特性的梯度具有优势。本文提出了一种概念,可以从成像光谱仪(IS)数据协同生成高山生态系统参数(即<斜体>总地表水含量)的CF图。此外,正在评估将这种地图链接到生态模式的潜力,即大有蹄类动物的空间分布。在植被区,总地表水分被认为是植物生理状态的替代。除温度,光或营养外,水是决定生物量生产并因此决定高山草原潜在动物饲料量的重要限制生长因子。对大型有蹄类动物与它们的草料之间的营养相互作用感兴趣的资源生态学,需要有关生态系统特性和过程的时空信息。研究区域位于瑞士国家公园(SNP)的Trupchun山谷上游(Val Trupchun)。该山谷以鹿皮( Rupicapra rupicapra L.),高地山羊( Capra ibex L.)和马鹿( Cervus elaphus

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