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Validation of the ECOSTRESS Land Surface Temperature Product Using Ground Measurements

Xiangchen Meng, Jie Cheng, Beibei Yao, Yahui Guo

2021IEEE Geoscience and Remote Sensing Letters13 citationsDOI

Abstract

The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) land surface temperature (LST) product provides LST data with a high-spatial resolution of 70 m <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times70$ </tex-math></inline-formula> m. In this letter, the quality of ECOSTRESS LST product was assessed using ground measurements collected from 17 sites, including seven surface radiation budget network (SURFRAD) sites, seven baseline surface radiation network (BSRN) sites, and three National Tibetan Plateau/Third Pole Environment Data Center (TPDC) sites. After outlier removal using the “ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$3\sigma $ </tex-math></inline-formula> -Hampel identifier,” the overall bias and root mean square error (RMSE) of ECOSTRESS LST at SURFRAD, BSRN, and TPDC sites are −1.61 and 3.08 K, −0.75, and 3.50 K, and −0.82 and 4.18 K, respectively. This letter shows the accuracy and uncertainty of ECOSTRESS LST product, and will benefit research fields that require LST with high-spatial resolution.

Topics & Concepts

RadiometerMean squared errorProduct (mathematics)Environmental scienceRemote sensingOutlierAlgorithmImage resolutionMathematicsComputer scienceMeteorologyStatisticsGeometryGeographyArtificial intelligenceUrban Heat Island MitigationBuilding Energy and Comfort OptimizationCalibration and Measurement Techniques