Paper
4 October 2017 Bulk processing of the Landsat MSS/TM/ETM+ archive of the European Space Agency: an insight into the level 1 MSS processing
Sébastien Saunier, Amy Northrop, Samantha Lavender, Luca Galli, Riccardo Ferrara, Stefano Mica, Roberto Biasutti, Philippe Goryl, Ferran Gascon, Marco Meloni
Author Affiliations +
Abstract
Whilst recent years have witnessed the development and exploitation of operational Earth Observation (EO) satellite constellation data, the valorisation of historical archives has been a challenge. The European Space Agency (ESA) Landsat Multi Spectral Scanner (MSS) products cover Greenland, Iceland, Continental Europe and North Africa represent an archive of over 600,000 processed Level 1 (L1) scenes that will accompany around 1 million ESA Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) products already available. ESA began acquiring MSS data in 1975 and it is well known that this dataset can be degraded due to missing data and a loss in accuracy. For these reasons, the content of the product format has been reviewed and the ESA Landsat processing baseline significantly updated to ensure products are fit for user purposes. This paper presents the new MSS product format including the updated metadata parameters for error traceability, and the specification of the Quality Assurance Band (BQA) engineered to allow the best pixel selection and also the application of image restoration techniques. This paper also discusses major improvements applied to the radiometric and geometric processing. For the benefits of the community, ESA is now able to maximize the number of L1 MSS products that can potentially be generated from the raw Level 0 (L0) data and ensure the highest possible data quality is reached. Also, by improving product format, processing and adding a pixel based quality band, the MSS archive becomes interoperable with recently reprocessed Landsat data and that from live missions by way of assuring product quality on a pixel basis.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sébastien Saunier, Amy Northrop, Samantha Lavender, Luca Galli, Riccardo Ferrara, Stefano Mica, Roberto Biasutti, Philippe Goryl, Ferran Gascon, and Marco Meloni "Bulk processing of the Landsat MSS/TM/ETM+ archive of the European Space Agency: an insight into the level 1 MSS processing", Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 1042702 (4 October 2017); https://doi.org/10.1117/12.2278633
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Cited by 1 scholarly publication.
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KEYWORDS
Landsat

Calibration

Data archive systems

Earth observing sensors

Error analysis

Image quality

Image restoration

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