Abstract
Asa critical indicator of crop water stress, land surface temperature (LST) has been widely used in agricultural applications for monitoring and quantifying crop stress and crop water use. Given the availability of several newly operational satellite LST products in recent years and an increasing demand for reliable LST for agricultural applications, a systematic and thorough study of evaluation of different satellite LST products for croplands is highly needed. This article, thus, evaluated both the new satellite LST products including ECOsystem Spaceborne Thermal Radiometer on the International Space Station (ECOSTRESS), GOES-R, Landsat Provisional and Sentinel-3, and several mainstream LST products including MODIS Land Surface Temperature/Emissivity product (MOD11A1 and MYD11A1), MODIS/Aqua Land Surface Temperature/3-Band Emissivity product (MYD21A1), and VIIRS/NPP Land Surface Temperature and Emissivity LST (VNP21A1), for agricultural landscapes in the U.S. Corn Belt. The evaluation was benchmarked on in situ measurements from 11 SURFRAD or eddy covariance sites in the growing seasons of 2018 and 2019. Results showed that the nighttime and daytime biases of all LST products on different sites were generally within ±2 °C and ±3 °C, respectively. Regarding the daytime LST, the highest agreement with ground observations was achieved by ECOSTRESS with an overall absolute bias MYD11A1 a MOD11A1 (0.37/day) > Sentinel-3 (0.26/day) > Landsat Provisional (0.12/day) > ECOSTRESS (0.07/day). Holistically considering factors of bias, RMSE, spatial resolution and cloud-free data availability of different LST products, MOD11A1, and MYD11A1 are relatively appropriate for agriculture-related applications.
Highlights
L AND surface temperature (LST) is an essential climate variable identified by the Global Climate Observing System (GCOS), because it controls many biophysical and biogeochemical processes [1], and the energy balance of the earth surface [2]
We further investigated the temporal resolution of cloud-free LST data for the study region, and we found that the cloud-free LST data availability follows the order GOES-R (9.32/day) > MYD11A1 ≈ MOD11A1 (0.37/day) > Sentinel-3 (0.26/day) > Landsat Provisional (0.12/day) > ECOSTRESS (0.07/day)
We present a comprehensive evaluation study of eight satellite LST products benchmarked with in situ measurements on agricultural sites over the U.S Corn Belt, including nine eddy covariance flux sites and two Surface Radiation Budget Network (SURFRAD) sites
Summary
L AND surface temperature (LST) is an essential climate variable identified by the Global Climate Observing System (GCOS), because it controls many biophysical and biogeochemical processes [1], and the energy balance of the earth surface [2]. Some products have been operational for more than ten years, such as AVHRR [7], ASTER [8], AATSR [9], SEVIRI [10], GOES [11], and MODIS [12]. To effectively use these satellite LST products in various disciplines, it is critical to understand the accuracy of these products. Comprehensive validation for these long-term LST products have been conducted in the following papers [13]–[16]
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