4.6 Article

Evaluation of ECOSTRESS Thermal Data over South Florida Estuaries

期刊

SENSORS
卷 21, 期 13, 页码 -

出版社

MDPI
DOI: 10.3390/s21134341

关键词

ECOSTRESS; MODIS; sea surface temperature; estuaries; Chesapeake Bay; Lake Okeechobee; Caloosahatchee River Estuary; Florida Bay

资金

  1. NASA Ecological Forecast program [80NSSC20K0076]
  2. Water Resources program [80NSSC19K1200]
  3. University of South Florida

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The study evaluates the quality of thermal data collected by ECOSTRESS over South Florida estuaries, Chesapeake Bay, and Lake Okeechobee, finding a slight underestimation of sea surface temperature which can be corrected for evaluating thermal environments of small water bodies.
Operational coarse-resolution satellite thermal sensors designed for global oceans are often insufficient for evaluating surface temperature of small water bodies. Here, the quality of the thermal data, collected by the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS), over several South Florida estuaries, Chesapeake Bay, and Lake Okeechobee is evaluated using both in situ and Moderate Resolution Imaging Spectroradiometer (MODIS) Sea Surface Temperature (SST) data. Overall, for SST between similar to 6 and similar to 32 degrees C, ECOSTRESS LST (Land Surface Temperature, used as a surrogate for SST in this study) appears to be slightly underestimated, with the underestimation being more severe at night (-1.13 degrees C) than during the day (-0.64 degrees C), in spring and summer (-1.25 +/- 1.39 degrees C) than in autumn and winter (-0.57 +/- 0.98 degrees C), and after May 2019 when two of the five bands failed. The root-mean-square uncertainties of ECOSTRESS SST are generally within 1-2 degrees C. Spatial analysis further suggests that ECOSTRESS SST covers waters closer to shore and reveals more spatial features than MODIS, with comparable image noise. From these observations, after proper georeferencing and empirical correction of the negative bias, ECOSTRESS SST may be used to evaluate the thermal environments of small water bodies, thus filling gaps in the coarse-resolution satellite data.

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