Evaluation of TsHARP utility for thermal sharpening of Sentinel-3 satellite images using Sentinel-2 visual imagery

Hanna Huryna, Yafit Cohen, Arnon Karnieli, Natalya Panov, William P. Kustas, Nurit Agam

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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.

Original languageEnglish
Article number2304
JournalRemote Sensing
Volume11
Issue number19
DOIs
StatePublished - 1 Oct 2019

Keywords

  • Image sharpening
  • Land surface temperature
  • Sentinel-2
  • Sentinel-3
  • Thermal remote sensing
  • TsHARP

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