Remote Sensing, Год журнала: 2025, Номер 17(6), С. 955 - 955

Опубликована: Март 7, 2025

The ice surface temperature (IST) derived from thermal infrared remote sensing is crucial for accurately monitoring or snow temperatures in the polar region. Generally, IST needs to be validated by situ ensure its accuracy. However, due limited availability of measurements, previous studies validation ISTs are scarce Antarctic sheet. This study utilizes eight broadband radiation stations assess accuracy latest-released Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imager Radiometer Suite (VIIRS) products, which were two different algorithms, Split-Window (SW-based) algorithm Temperature–Emissivity Separation (TES-based) algorithm, respectively. also explores sources uncertainty process. results reveal prominent errors when directly validating with ISTs, can attributed incorrect cloud detection similar spectral characteristics snow. Hence, pixels misclassified as clear satellite mask during validation, emphasizes severe contamination products. By using a index (n) remove overall uncertainties four products about 2 3 K, maximum (RMSE) reduced 3.51 K bias decreased 1.26 K. Furthermore, progressive cold process was observed decreasing temperature, likely atmospheric between radiometer being neglected studies. Lastly, this found that satellites more pronounced winter compared summer, highlighting need caution particularly night.

Язык: Английский