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Proceedings Paper

Bulk processing of the Landsat MSS/TM/ETM+ archive of the European Space Agency: an insight into the level 1 MSS processing
Author(s): Sébastien Saunier; Amy Northrop; Samantha Lavender; Luca Galli; Riccardo Ferrara; Stefano Mica; Roberto Biasutti; Philippe Goryl; Ferran Gascon; Marco Meloni
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Paper 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.

Paper Details

Date Published: 4 October 2017
PDF: 16 pages
Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 1042702 (4 October 2017);
Show Author Affiliations
Sébastien Saunier, Telespazio VEGA UK Ltd. (United Kingdom)
Amy Northrop, Telespazio VEGA UK Ltd. (United Kingdom)
Samantha Lavender, Telespazio VEGA UK Ltd. (United Kingdom)
Luca Galli, Advanced Computer Systems (ACS) (Italy)
Riccardo Ferrara, Advanced Computer Systems (ACS) (Italy)
Stefano Mica, Advanced Computer Systems (ACS) (Italy)
Roberto Biasutti, European Space Agency (Italy)
Philippe Goryl, European Space Agency (Italy)
Ferran Gascon, European Space Agency (Italy)
Marco Meloni, Serco SpA (Italy)

Published in SPIE Proceedings Vol. 10427:
Image and Signal Processing for Remote Sensing XXIII
Lorenzo Bruzzone, Editor(s)

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