Torres-Rua Alfonso, Nieto Hector, Parry Christopher, Elarab Manal, Collatz Wesley, Coopmans Calvin, McKee Lynn, McKee Mac, Kustas William
Utah Water Research Laboratory.
IRTA (Institute for Food and Agricultural Research and Technology).
Proc SPIE Int Soc Opt Eng. 2018 Jul 30;10664. doi: 10.1117/12.2305832. Epub 2018 Jul 16.
With the increasing availability of thermal proximity sensors, UAV-borne cameras, and eddy covariance radiometers there may be an assumption that information produced by these sensors is interchangeable or compatible. This assumption is often held for estimation of agricultural parameters such as canopy and soil temperature, energy balance components, and evapotranspiration. Nevertheless, environmental conditions, calibration, and ground settings may affect the relationship between measurements from each of these thermal sensors. This work presents a comparison between proximity infrared radiometer (IRT) sensors, microbolometer thermal cameras used in UAVs, and thermal radiometers used in eddy covariance towers in an agricultural setting. The information was collected in the 2015 and 2016 irrigation seasons at a commercial vineyard located in California for the USDA Agricultural Research Service Grape Remote Sensing Atmospheric Profile and Evapotranspiration Experiment (GRAPEX) Program. Information was captured at different times during diurnal cycles, and IRT and radiometer footprint areas were calculated for comparison with UAV thermal raster information. Issues such as sensor accuracy, the location of IRT sensors, diurnal temperature changes, and surface characterizations are presented.
随着热接近传感器、无人机搭载相机和涡度相关辐射计的日益普及，可能会有人认为这些传感器产生的信息是可互换或兼容的。这种假设通常用于估算农业参数，如冠层和土壤温度、能量平衡组分以及蒸散量。然而，环境条件、校准和地面设置可能会影响这些热传感器各自测量值之间的关系。本文展示了在农业环境中，近红外辐射计（IRT）传感器、无人机使用的微测辐射热计热成像相机以及涡度相关塔使用的热辐射计之间的比较。这些信息是在2015年和2016年灌溉季节，于加利福尼亚州的一个商业葡萄园收集的，用于美国农业部农业研究局葡萄遥感大气剖面和蒸散实验（GRAPEX）项目。在昼夜循环的不同时间采集信息，并计算IRT和辐射计的足迹面积，以便与无人机热光栅信息进行比较。文中还介绍了传感器精度、IRT传感器位置、昼夜温度变化和地表特征等问题。
