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首页> 外文会议>International Geoscience and Remote Sensing Symposium >Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards
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Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards

机译：无人驾驶的航空热能谱图和多光谱谱图，用于估算灌溉葡萄园的蒸散量

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Thermal-infrared remote sensing of land surface temperature (LST) provides valuable information for quantifying root-zone water availability, evapotranspiration (ET) and crop condition. This paper describes the most recent modifications applied to the robust but relatively simple LST-based energy balance model, the Two-Source Energy Balance (TSEB), which solves for the soil/substrate and canopy temperatures that achieves a balance in the radiation and turbulent heat flux exchange with the lower atmosphere for the soil/substrate and vegetation elements. As a result, the TSEB modeling framework is applicable to a wide range in atmospheric and canopy cover conditions. This work illustrates the utility of high resolution LST data providing within-field variability in energy fluxes and evapotranspiration (ET), including modifications made in TSEB to be adapted for structurally complex crops, such as vineyards. Such high resolution spatial information is being used in precision farming applications to assess the impacts of within variability in soil texture, water availability and other stress factors on plant condition and productivity.
机译：地表温度（LST）的热红外遥感提供了宝贵的信息，可用于量化根区水的可利用量，蒸散量（ET）和作物状况。本文介绍了应用于稳健但相对简单的基于LST的能量平衡模型的最新修改，即两源能量平衡（TSEB），它解决了土壤/基质和冠层温度问题，从而实现了辐射和湍流的平衡与低层大气进行土壤/基质和植被元素的热通量交换。因此，TSEB建模框架适用于广泛的大气和冠层覆盖条件。这项工作说明了高分辨率LST数据的实用性，它提供了能量通量和蒸散量（ET）的场内可变性，包括在TSEB中进行的修改，以适应结构复杂的农作物（例如葡萄园）。这种高分辨率的空间信息已用于精密农业应用中，以评估土壤质地，水的可利用性和其他胁迫因素对植物状况和生产力的影响。

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