Open AccessImplications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards
Author(s) -
Ayman Nassar,
Alfonso F. Torres-Rúa,
William P. Kustas,
Héctor Nieto,
Mac McKee,
Lawrence E. Hipps,
Joseph G. Alfieri,
John H. Prueger,
María Mar Alsina,
L. McKee,
Calvin Coopmans,
Luis A. Sánchez,
Nick Dokoozlian
Publication year - 2020
Publication title -
digital commons - usu (utah state university)
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
pISSN - 0277-786X
DOI - 10.1117/12.2558715
Subject(s) - normalized difference vegetation index , environmental science , evapotranspiration , energy balance , remote sensing , multispectral image , wind speed , vegetation (pathology) , canopy , land cover , atmospheric sciences , meteorology , leaf area index , geology , geography , medicine , ecology , archaeology , pathology , biology , civil engineering , land use , engineering
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 NDVI s and NDVI c . The observed relative error of LE corresponding to NDVI s uncertainty was between -1% and 2%, while for NDVI c uncertainty, the relative error was between -2.2% and 1.2%. However, when the combined NDVI s and NDVI c uncertainties were used simultaneously, the domain of the observed relative error corresponding to the absolute values of |ΔLE| was between 0% and 4%.