A flexible multi-temporal and multi-modal framework for Sentinel-1 and Sentinel-2 analysis ready data
Upadhyay, Priti and Czerkawski, Mikolaj and Davison, Christopher and Cardona, Javier and Macdonald, Malcolm and Andonovic, Ivan and Michie, Craig and Atkinson, Robert and Papadopoulou, Nikela and Nikas, Konstantinos and Tachtatzis, Christos (2022) A flexible multi-temporal and multi-modal framework for Sentinel-1 and Sentinel-2 analysis ready data. Remote Sensing, 14 (5). 1120. ISSN 2072-4292 (https://doi.org/10.3390/rs14051120)
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Abstract
The rich, complementary data provided by Sentinel-1 and Sentinel-2 satellite constellations host considerable potential to transform Earth observation (EO) applications. However, a substantial amount of effort and infrastructure is still required for the generation of analysis-ready data (ARD) from the low-level products provided by the European Space Agency (ESA). Here, a flexible Python framework able to generate a range of consistent ARD aligned with the ESA-recommended processing pipeline is detailed. Sentinel-1 Synthetic Aperture Radar (SAR) data are radiometrically calibrated, speckle-filtered and terrain-corrected, and Sentinel-2 multi-spectral data resampled in order to harmonise the spatial resolution between the two streams and to allow stacking with multiple scene classification masks. The global coverage and flexibility of the framework allows users to define a specific region of interest (ROI) and time window to create geo-referenced Sentinel-1 and Sentinel-2 images, or a combination of both with closest temporal alignment. The framework can be applied to any location and is user-centric and versatile in generating multi-modal and multi-temporal ARD. Finally, the framework handles automatically the inherent challenges in processing Sentinel data, such as boundary regions with missing values within Sentinel-1 and the filtering of Sentinel-2 scenes based on ROI cloud coverage.
ORCID iDs
Upadhyay, Priti ORCID: https://orcid.org/0000-0002-6212-5314, Czerkawski, Mikolaj ORCID: https://orcid.org/0000-0002-0927-0416, Davison, Christopher ORCID: https://orcid.org/0000-0002-9450-1791, Cardona, Javier ORCID: https://orcid.org/0000-0002-9284-1899, Macdonald, Malcolm ORCID: https://orcid.org/0000-0003-4499-4281, Andonovic, Ivan ORCID: https://orcid.org/0000-0001-9093-5245, Michie, Craig ORCID: https://orcid.org/0000-0001-5132-4572, Atkinson, Robert ORCID: https://orcid.org/0000-0002-6206-2229, Papadopoulou, Nikela, Nikas, Konstantinos and Tachtatzis, Christos ORCID: https://orcid.org/0000-0001-9150-6805;-
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Item type: Article ID code: 79705 Dates: DateEvent24 February 2022Published24 February 2022Published Online21 February 2022AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Chemical and Process Engineering
Technology and Innovation Centre > Advanced Engineering and Manufacturing
Strategic Research Themes > Measurement Science and Enabling TechnologiesDepositing user: Pure Administrator Date deposited: 23 Feb 2022 16:27 Last modified: 03 Oct 2024 00:37 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/79705