Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine
1
European Space Agency, ESRIN, ESA Phi-Lab, Largo Galileo Galilei, 00044 Frascati (RM), Italy
2
Department of Environmental Sciences, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(11), 1867; https://doi.org/10.3390/rs12111867
Received: 16 April 2020
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Revised: 20 May 2020
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Accepted: 4 June 2020
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Published: 9 June 2020
(This article belongs to the Section Remote Sensing Image Processing)
This article provides an angular-based radiometric slope correction routine for Sentinel-1 SAR imagery on the Google Earth Engine platform. Two established physical reference models are implemented. The first model is optimised for vegetation applications by assuming volume scattering on the ground. The second model is optimised for surface scattering, and therefore targeted at urban environments or analysis of soil characteristics. The framework of both models is extended to simultaneously generate masks of invalid data in active layover and shadow affected areas. A case study, using openly available and reproducible code, exemplarily demonstrates the improvement of the backscatter signal in a mountainous area of the Austrian Alps. Furthermore, suggestions for specific use cases are discussed and drawbacks of the method with respect to pixel-area based methods are highlighted. The radiometrically corrected radar backscatter products are overcoming current limitations and are compliant with recent CEOS specifications for SAR backscatter over land. This improves a wide range of potential usage scenarios of the Google Earth Engine platform in mapping various land surface parameters with Sentinel-1 on a large scale and in a rapid manner. The provision of an openly accessible Earth Engine module allows users a smooth integration of the routine into their own workflows.
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
- Supplementary File 1:
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Externally hosted supplementary file 1
Link: https://github.com/ESA-PhiLab/radiometric-slope-correction
Description: Google Earth Engine scripts and reproducible code in form of Jupyter notebooks (executable on Google Colab) for the article "Angular-based radiometric slope correction of Sentinel-1 on Google Earth Engine" by Vollrath, Mullissa & Reiche
MDPI and ACS Style
Vollrath, A.; Mullissa, A.; Reiche, J. Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine. Remote Sens. 2020, 12, 1867. https://doi.org/10.3390/rs12111867
AMA Style
Vollrath A, Mullissa A, Reiche J. Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine. Remote Sensing. 2020; 12(11):1867. https://doi.org/10.3390/rs12111867
Chicago/Turabian StyleVollrath, Andreas, Adugna Mullissa, and Johannes Reiche. 2020. "Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine" Remote Sensing 12, no. 11: 1867. https://doi.org/10.3390/rs12111867
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