Implications of Soil and Canopy Temperature Uncertainty in the Estimation of Surface Energy Fluxes Using TSEB2T and High-resolution Imagery in Commercial Vineyards

被引:1
作者
Nassar, Ayman [1 ]
Torres-Rua, Alfonso [1 ]
Kustas, William [2 ]
Nieto, Hector [3 ]
McKee, Mac [1 ]
Hipps, Lawrence [4 ]
Alfieri, Joseph [2 ]
Prueger, John [5 ]
Alsina, Maria Mar [6 ]
McKee, Lynn [2 ]
Coopmans, Calvin [7 ]
Sanchez, Luis [6 ]
Dokoozlian, Nick [6 ]
机构
[1] Utah State Univ, Dept Civil & Environm Engn, Logan, UT 84322 USA
[2] ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA
[3] Complutum Tecnol Informac Geog COMPLUTIG, Madrid, Spain
[4] Utah State Univ, Plants Soils & Climate Dept, Logan, UT 84322 USA
[5] ARS, USDA, Natl Lab Agr & Environm, Ames, IA 50011 USA
[6] E&J Gallo Winery Viticulture Res, Modesto, CA 95354 USA
[7] Utah State Univ, Dept Elect Engn, Logan, UT 84322 USA
来源
AUTONOMOUS AIR AND GROUND SENSING SYSTEMS FOR AGRICULTURAL OPTIMIZATION AND PHENOTYPING V | 2020年 / 11414卷
关键词
TSEB2T; surface energy fluxes; land surface temperature (LST); soil and canopy temperature (T-s; T-c); sensitivity analysis; LST uncertainty; Monte Carlo simulation; EVAPOTRANSPIRATION; COEFFICIENTS;
D O I
10.1117/12.2558715
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Estimation of surface energy fluxes using thermal remote sensing-based energy balance models (e.g., TSEB2T) involves the use of local micrometeorological input data of air temperature, wind speed, and incoming solar radiation, as well as vegetation cover and accurate land surface temperature (LST). The physically based Two-source Energy Balance with a Dual Temperature (TSEB2T) model separates soil and canopy temperature (T-s and T-c) to estimate surface energy fluxes including R-n, H, LE, and G. The estimation of T-s and T-c components for the TSEB2T model relies on the linear relationship between the composite land surface temperature and a vegetation index, namely NDVI. While canopy and soil temperatures are controlling variables in the TSEB2T model, they are influenced by the NDVI threshold values, where the uncertainties in their estimation can degrade the accuracy of surface energy flux estimation. Therefore, in this research effort, the effect of uncertainty in T-s and T-c estimation on surface energy fluxes will be examined by applying a Monte Carlo simulation on NDVI thresholds used to define canopy and soil temperatures. The spatial information used is available from multispectral imagery acquired by the AggieAir sUAS Program at Utah State University over vineyards near Lodi, California as part of the ARS-USDA Agricultural Research Service's Grape Remote Sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX) project. The results indicate that LE is slightly sensitive to the uncertainty of NDVIs and NDVIc. The observed relative error of LE corresponding to NDVIs uncertainty was between -1% and 2%, while for NDVIc uncertainty, the relative error was between -2.2% and 1.2%. However, when the combined NDVIs and NDVIc uncertainties were used simultaneously, the domain of the observed relative error corresponding to the absolute values of vertical bar Delta LE vertical bar was between 0% and 4%.
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页数:15
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