@article{14ce2ca2f443488a833eed5f4a8dd59c,
title = "Evaluation of TsHARP utility for thermal sharpening of Sentinel-3 satellite images using Sentinel-2 visual imagery",
abstract = "A spatially distributed land surface temperature is important for many studies. The recent launch of the Sentinel satellite programs paves the way for an abundance of opportunities for both large area and long-term investigations. However, the spatial resolution of Sentinel-3 thermal images is not suitable for monitoring small fragmented fields. Thermal sharpening is one of the primary methods used to obtain thermal images at finer spatial resolution at a daily revisit time. In the current study, the utility of the TsHARP method to sharpen the low resolution of Sentinel-3 thermal data was examined using Sentinel-2 visible-near infrared imagery. Compared to Landsat 8 fine thermal images, the sharpening resulted in mean absolute errors of ~1 °C, with errors increasing as the difference between the native and the target resolutions increases. Part of the error is attributed to the discrepancy between the thermal images acquired by the two platforms. Further research is due to test additional sites and conditions, and potentially additional sharpening methods, applied to the Sentinel platforms.",
keywords = "Image sharpening, Land surface temperature, Sentinel-2, Sentinel-3, Thermal remote sensing, TsHARP",
author = "Hanna Huryna and Yafit Cohen and Arnon Karnieli and Natalya Panov and Kustas, {William P.} and Nurit Agam",
note = "Funding Information: Funding: The Israel Ministry of Agriculture and Rural Development (Eugene Kandel Knowledge Centers) as part of the program Precision agriculture: Development of systems to improve resources application in the field supported this research (contract No. 235/16). The European Union{\textquoteright}s Horizon 2020 Research and Innovation Program “Improving Future Ecosystem Benefits through Earth Observations” (Eco-potential) under grant agreement No. 641762 also partly supported this research. Funding Information: The Israel Ministry of Agriculture and Rural Development (Eugene Kandel Knowledge Centers) as part of the program Precision agriculture: Development of systems to improve resources application in the field supported this research (contract No. 235/16). The European Union's Horizon 2020 Research and Innovation Program {"}Improving Future Ecosystem Benefits through Earth Observations{"} (Eco-potential) under grant agreement No. 641762 also partly supported this research. Publisher Copyright: {\textcopyright} 2019 by the authors.",
year = "2019",
month = oct,
day = "1",
doi = "10.3390/rs11192304",
language = "English",
volume = "11",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "MDPI Multidisciplinary Digital Publishing Institute",
number = "19",
}