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首页> 外文会议>Conference on Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping;Society of Photo-Optical Instrumentation Engineers >Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, Landsat and AggieAir optical data
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Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, Landsat and AggieAir optical data

机译：使用NASA HyTES高光谱热，Landsat和AggieAir光学数据估算用于UAV微型辐射热计热像仪的葡萄园中的表面热发射率

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Microbolometer thermal cameras in UAVs and manned aircraft allow for the acquisition of highresolutiontemperature data, which, along with optical reflectance, contributes to monitoring andmodeling of agricultural and natural environments. Furthermore, these temperature measurementshave facilitated the development of advanced models of crop water stress and evapotranspiration inprecision agriculture and heat fluxes exchanges in small river streams and corridors. Microbolometercameras capture thermal information at blackbody or radiometric settings (narrowband emissivityequates to unity). While it is customary that the modeler uses assumed emissivity values (e.g. 0.99–0.96 for agricultural and environmental settings); some applications (e.g. Vegetation Health Index),and complex models such as energy balance-based models (e.g. evapotranspiration) could benefitfrom spatial estimates of surface emissivity for true or kinetic temperature mapping. In that regard,this work presents an analysis of the spectral characteristics of a microbolometer camera with regardto emissivity, along with a methodology to infer thermal emissivity spatially based on the spectral characteristics of the microbolometer camera. For this work, the MODIS UCBS Emissivity Library,NASA HyTES hyperspectral emissivity, Landsat, and Utah State University AggieAir UAV surfacereflectance products are employed. The methodology is applied to a commercial vineyard agriculturalsetting located in Lodi, California, where HyTES, Landsat, and AggieAir UAV spatial data werecollected in the 2014 growing season. Assessment of the microbolometer spectral response withregards to emissivity and emissivity modeling performance for the area of study are presented anddiscussed.
机译：无人机和载人飞机中的测微测温仪热像仪可获取高分辨率 温度数据以及光反射率有助于监测和 农业和自然环境建模。此外，这些温度测量 促进了作物水分胁迫和蒸散的先进模型的开发。 小河和走廊中的精确农业和热通量交换。微测辐射热计 摄像机在黑体或辐射设置（窄带发射率）下捕获热信息 等于统一）。通常，建模者使用假定的发射率值（例如0.99 农业和环境设置为0.96）;一些应用（例如，植被健康指数）， 复杂的模型（例如基于能量平衡的模型（例如蒸散））可能会受益 从表面发射率的空间估算中得出真实或动态温度图。在这方面， 这项工作提出了对微辐射热仪相机的光谱特性的分析 辐射率，以及基于微辐射热计相机的光谱特性在空间上推断热辐射率的方法。为此，MODIS UCBS发射率库， NASA HyTES高光谱发射率，Landsat和犹他州立大学AggieAir无人机表面 使用反射率产品。该方法适用于商业化的葡萄园农业 设置位于加利福尼亚州洛迪市，HyTES，Landsat和AggieAir无人机空间数据分别位于 在2014年生长季节收集。评估微辐射热计的光谱响应 介绍了有关研究领域的发射率和发射率建模性能，并 讨论过。

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