Improvements in the Estimation of Air Temperature with Empirical Models on Livingston and Deception Islands in Maritime Antarctica (2000–2016) Using C6 MODIS LST
Temperature analysis is of special interest in polar areas because temperature is an essential variable in the energy exchange between the Earth’s surface and atmosphere. Although land surface temperature (LST) obtained using satellites and air temperature ( T a ) have different physical meanings an...
| Published in: | Remote Sensing |
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| Main Authors: | , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
MDPI AG
2024
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| Subjects: | |
| Online Access: | https://doi.org/10.3390/rs16061084 https://doaj.org/article/671909670cdf490784ac452f41be6aee |
| Summary: | Temperature analysis is of special interest in polar areas because temperature is an essential variable in the energy exchange between the Earth’s surface and atmosphere. Although land surface temperature (LST) obtained using satellites and air temperature ( T a ) have different physical meanings and are measured with different techniques, LST has often been successfully employed to estimate T a . For this reason, in this work, we estimated T a from LST MODIS collection 6 (C6) and used other predictor variables. Daily mean T a was calculated from Spanish State Meteorological Agency (AEMET) stations data on the Livingston and Deception Islands, and from the PERMASNOW project stations on Livingston Island; both islands being part of the South Shetland Islands (SSI) archipelago. In relation to our previous work carried out in the study area with collection 5 (C5) data, we obtained higher R 2 values (R 2 CV = 0.8, in the unique model with Terra daytime data) and lower errors (RMSE CV = 2.2 °C, MAE CV = 1.6 °C). We corroborated significant improvements in MODIS C6 LST data. We analyzed emissivity as a possible factor of discrepancies between C5 and C6, but we did not find conclusive results, therefore we could not affirm that emissivity is the factor that causes differences between one collection and another. The results obtained with the applied filters indicated that MODIS data can be used to study T a in the area, as these filters contribute to the reduction of uncertainties in the modeling of T a from satellites. |
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