TY - GEN
T1 - An overview of SAR sensors and software and a comparative study of open source (SNAP) and commercial (SARscape) software for dinsar analysis using C-band radar images
AU - Agarwal, Vivek
AU - Kumar, Amit
AU - Gomes, Rachel L.
AU - Marsh, Stuart
N1 - Funding Information:
The authors would like to thank the European Space Agency (ESA) for providing access to SARscape software for processing of InSAR data through Eohops programme. The authors would like to thank ESA RUS Copernicus, for providing webinars for SNAP and to Copernicus open access hub for providing the Sentinel-1 data. The research was funded by the University of Nottingham Faculty of Engineering Research Excellence PhD scholarship.
Publisher Copyright:
© 2020 ACRS 2020 - 41st Asian Conference on Remote Sensing. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Synthetic Aperture Radar (SAR) Interferometry has several proven applications in seismology, volcanology, land movement, glaciology, hydrology, forestry sciences and numerous other fields. SAR techniques can solely be handled by experts in RADAR image processing. In addition, commercial software and high-quality radar data can be expensive and out of reach for most early researchers in this field. While many new SAR sensors are being launched, a look at their compatibility with different SAR processing software packages is also important. Thus an overview of past, present and future SAR sensors and software packages is discussed in this work. To understand the strength and limitations of open source and commercial SAR processing software, Differential Interferometry SAR (DInSAR) land displacement maps were created. The open-source software SNAP and commercial software SARscape were used to generate the land displacement maps. Sentinel-1A data over London between April 2015 and April 2018 was used. The land movement results obtained, shows that SNAP results are in good agreement to SARscape results. To compare the results, we made all attempts to keep the user input parameters consistent in both the experiments like multilooking factor, phase unwrapping principle, and filtering methods. However, some differences are unavoidable because of the Ground Control Points (GCPs) selection, co-registration, or spectral shift filtering steps. A difference of 1 mm/year in subsidence was observed in the results obtained from the two software packages. This is the first study that compares SNAP and SARscape software using Sentinel-1A data for London. We can conclude that open source and free of cost SAR software can be handy tools for DInSAR processing, especially for beginners who do not have access to expensive commercial software. We believe that more open source, free of cost datasets and software packages, will attract a larger number of early stage researchers in this field. It will enable an expansion of the use of DInSAR principle for different applications.
AB - Synthetic Aperture Radar (SAR) Interferometry has several proven applications in seismology, volcanology, land movement, glaciology, hydrology, forestry sciences and numerous other fields. SAR techniques can solely be handled by experts in RADAR image processing. In addition, commercial software and high-quality radar data can be expensive and out of reach for most early researchers in this field. While many new SAR sensors are being launched, a look at their compatibility with different SAR processing software packages is also important. Thus an overview of past, present and future SAR sensors and software packages is discussed in this work. To understand the strength and limitations of open source and commercial SAR processing software, Differential Interferometry SAR (DInSAR) land displacement maps were created. The open-source software SNAP and commercial software SARscape were used to generate the land displacement maps. Sentinel-1A data over London between April 2015 and April 2018 was used. The land movement results obtained, shows that SNAP results are in good agreement to SARscape results. To compare the results, we made all attempts to keep the user input parameters consistent in both the experiments like multilooking factor, phase unwrapping principle, and filtering methods. However, some differences are unavoidable because of the Ground Control Points (GCPs) selection, co-registration, or spectral shift filtering steps. A difference of 1 mm/year in subsidence was observed in the results obtained from the two software packages. This is the first study that compares SNAP and SARscape software using Sentinel-1A data for London. We can conclude that open source and free of cost SAR software can be handy tools for DInSAR processing, especially for beginners who do not have access to expensive commercial software. We believe that more open source, free of cost datasets and software packages, will attract a larger number of early stage researchers in this field. It will enable an expansion of the use of DInSAR principle for different applications.
KW - ENVI SARscape
KW - InSAR
KW - Sentinel-1A
KW - SNAP
UR - http://www.scopus.com/inward/record.url?scp=85107194831&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85107194831
T3 - ACRS 2020 - 41st Asian Conference on Remote Sensing
BT - ACRS 2020 - 41st Asian Conference on Remote Sensing
PB - Asian Association on Remote Sensing
T2 - 41st Asian Conference on Remote Sensing, ACRS 2020
Y2 - 9 November 2020 through 11 November 2020
ER -
