European Space Agency (ESA) Landstat MSS/TM/ETM+ archive bulk-processing: processor improvements and data quality

F. Gascon; R. Biasutti; R. Ferrara; P. Fischer; L. Galli; B. Hoersch; S. Hopkins; J. Jackson; S. Lavender; S. Mica; A. Northrop; A. Paciucci; F. Paul; S. Pinori; S. Saunier

doi:10.1117/12.2062223

26 September 2014 European Space Agency (ESA) Landsat MSS/TM/ETM+ Archive Bulk-Processing: processor improvements and data quality

F. Gascon, R. Biasutti, R. Ferrara, P. Fischer, L. Galli, B. Hoersch, S. Hopkins, J. Jackson, S. Lavender, S. Mica, A. Northrop, A. Paciucci, F. Paul, S. Pinori, S. Saunier

Author Affiliations +

Proceedings Volume 9218, Earth Observing Systems XIX; 92181C (2014) https://doi.org/10.1117/12.2062223
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

The Landsat program is a joint United States Geological Survey (USGS) and National Aeronautics and Space Administration (NASA) enterprise for Earth Observation (EO), that represents the world’s longest running system of satellites for moderate-resolution optical remote sensing. The European Space Agency (ESA) has acquired Landsat data over Europe through the ESA ground stations over the last 40 years, in co-operation with USGS and NASA. A new ESA Landsat Multi-Spectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) processor has been developed. This enhanced processor aligns the historical Landsat products to the highest quality standards that can be achieved with the current knowledge of the instruments. The updated processor is mainly based on the USGS algorithm; however the ESA processor has some different features that are detailed in this paper. Using this upgraded processor, ESA is currently performing for the first time a bulk-processing of its entire Landsat series MSS/TM/ETM+ historical archive to make all products available to users. Current achievements include the processing and online distribution of approximately 290 000 new Landsat 5 TM high-quality products acquired at the Kiruna ground station between 1983 and 2011. The Landsat 5 TM bulk-processed products are made available for direct download after registration at: https://earth.esa.int/web/guest/pi-community/apply for-data/fast-registration. The remainder of the ESA’s Landsat data, dating back more than 40 years, will gradually become available for all users during the course of 2014. The ESA Landsat processor algorithm enhancement, together with the results of the ESA archive bulk-processing, and an overview on the data quality on a subset of the Landsat 5 TM data are herein presented.

Citation Download Citation

F. Gascon, R. Biasutti, R. Ferrara, P. Fischer, L. Galli, B. Hoersch, S. Hopkins, J. Jackson, S. Lavender, S. Mica, A. Northrop, A. Paciucci, F. Paul, S. Pinori, and S. Saunier "European Space Agency (ESA) Landsat MSS/TM/ETM+ Archive Bulk-Processing: processor improvements and data quality", Proc. SPIE 9218, Earth Observing Systems XIX, 92181C (26 September 2014); https://doi.org/10.1117/12.2062223

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Earth observing sensors

Landsat

Data archive systems

Data processing

Satellites

Data acquisition

Remote sensing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years