Evaluation of ECOSTRESS Thermal Data over South Florida Estuaries
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),...
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doaj-bb82ba0c30a644d080c05409ca5cd1492021-07-15T15:45:07ZengMDPI AGSensors1424-82202021-06-01214341434110.3390/s21134341Evaluation of ECOSTRESS Thermal Data over South Florida EstuariesJing Shi0Chuanmin Hu1College of Marine Science, University of South Florida, St. Petersburg, FL 33701, USACollege of Marine Science, University of South Florida, St. Petersburg, FL 33701, USAOperational 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 ~6 and ~32 °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 °C) than during the day (−0.64 °C), in spring and summer (−1.25 ± 1.39 °C) than in autumn and winter (−0.57 ± 0.98 °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 °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.https://www.mdpi.com/1424-8220/21/13/4341ECOSTRESSMODISsea surface temperatureestuariesChesapeake BayLake Okeechobee |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jing Shi Chuanmin Hu |
spellingShingle |
Jing Shi Chuanmin Hu Evaluation of ECOSTRESS Thermal Data over South Florida Estuaries Sensors ECOSTRESS MODIS sea surface temperature estuaries Chesapeake Bay Lake Okeechobee |
author_facet |
Jing Shi Chuanmin Hu |
author_sort |
Jing Shi |
title |
Evaluation of ECOSTRESS Thermal Data over South Florida Estuaries |
title_short |
Evaluation of ECOSTRESS Thermal Data over South Florida Estuaries |
title_full |
Evaluation of ECOSTRESS Thermal Data over South Florida Estuaries |
title_fullStr |
Evaluation of ECOSTRESS Thermal Data over South Florida Estuaries |
title_full_unstemmed |
Evaluation of ECOSTRESS Thermal Data over South Florida Estuaries |
title_sort |
evaluation of ecostress thermal data over south florida estuaries |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-06-01 |
description |
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 ~6 and ~32 °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 °C) than during the day (−0.64 °C), in spring and summer (−1.25 ± 1.39 °C) than in autumn and winter (−0.57 ± 0.98 °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 °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. |
topic |
ECOSTRESS MODIS sea surface temperature estuaries Chesapeake Bay Lake Okeechobee |
url |
https://www.mdpi.com/1424-8220/21/13/4341 |
work_keys_str_mv |
AT jingshi evaluationofecostressthermaldataoversouthfloridaestuaries AT chuanminhu evaluationofecostressthermaldataoversouthfloridaestuaries |
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1721298559059361792 |