Next Article in Journal
Trends in Remote Sensing Accuracy Assessment Approaches in the Context of Natural Resources
Next Article in Special Issue
Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation
Previous Article in Journal
Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 1: Precipitation Area Delineation with Elektro-L2 and Insat-3D
Open AccessArticle

Evaluation of TsHARP Utility for Thermal Sharpening of Sentinel-3 Satellite Images Using Sentinel-2 Visual Imagery

1
The Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet, Ben-Gurion 84990, Israel
2
Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Midreshet Ben-Gurion 84990, Israel
3
Hydrology and Remote Sensing Laboratory, Agricultural Research Services, US Department of Agriculture, Beltsville, MD 20705, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(19), 2304; https://doi.org/10.3390/rs11192304
Received: 19 August 2019 / Revised: 18 September 2019 / Accepted: 24 September 2019 / Published: 3 October 2019
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. View Full-Text
Keywords: land surface temperature; image sharpening; TsHARP; thermal remote sensing; Sentinel-3; Sentinel-2 land surface temperature; image sharpening; TsHARP; thermal remote sensing; Sentinel-3; Sentinel-2
Show Figures

Graphical abstract

MDPI and ACS Style

Huryna, H.; Cohen, Y.; Karnieli, A.; Panov, N.; Kustas, W.P.; Agam, N. Evaluation of TsHARP Utility for Thermal Sharpening of Sentinel-3 Satellite Images Using Sentinel-2 Visual Imagery. Remote Sens. 2019, 11, 2304.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop