Dr. Roberto Biasutti Profile

Dr. Roberto Biasutti

at European Space Agency

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Publications (5)

Proceedings Article | 7 October 2019 Presentation + Paper

Evaluation of the geometric and radiometric accuracy across the European Space Agency (ESA) Landsat historical archive

Sébastien Saunier, Andrea Melchiorre, Samantha Lavender, Amy Beaton, Stefano Mica, Daniele Di Erasmo, Roberto Biasutti, Giuseppe Ottavianelli, Valentina Boccia

Proceedings Volume 11155, 1115505 (2019) https://doi.org/10.1117/12.2533198

KEYWORDS: Earth observing sensors, Landsat, Error analysis, Data modeling, Image quality, Calibration, Distortion, Satellites, Image processing, Modeling

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In the context of Long Term Data Preservation, ESA, with the support of the Instrument Data Evaluation and Quality Analysis Service (IDEAS+) team, reprocessed over 600’000 Landsat 1-5 Multi-Spectral Scanner (MSS) products acquired in the period 1975 - 2001 from the European Ground Stations complementing the existing 1 million Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) Level 1 products, with a geographical coverage from Greenland to Continental Europe and North Africa. The reprocessing software and quality control tool developed for the reprocessing present new features aimed at improving the radiometric and geometric accuracy, image data recovery and including additional quality assurance information. An accurate geometric and radiometric accuracy evaluation across the over 40-years long operative life of Landsat is vital for the exploitation of long time series analysis and for the future development of multi-mission Analysis Ready Data (ARD). This paper proposes to evaluate the geometric accuracy and the radiometric calibration accuracy of the Landsat Level 1 products delivered by ESA. It is obvious that across Landsat historical mission the accuracy is not the same; data are acquired with the MSS, the TM and the ETM+ sensors with improved characteristics for the most recent ones. All these differences between remote sensing systems, did not preclude to engineer processing algorithms with one main objective to harmonize physical measurement and ensure interoperability with the ongoing missions such as Landsat 8 - OLI / Sentinel 2 – MSI. This approach is a key aspect for the future development of multi mission ARD. The geometric quality assurance parameters are exposed in the Level 1 products. These scene based parameters allows to filter out and select, for a given region, if needed the most accurate products. Also, to demonstrate that these parameters are consistent is fundamental. Because of the ageing of missions, specifically for MSS missions, the processing cannot solely rely on information coming from telemetry. It is mandatory to apply ground model and to estimate both external and internal orientation parameters for what concerned the geometric model. Furthermore, for some parameters, the use of single scene for calibration of geo referencing model is not sufficient and the estimate of parameters becomes more robust when considering, instead of one scene, all data recorded in the acquisition period and downlinked to the receiving station. Also, the proposed methodology herein validates the stability of geometric accuracy for a long period of time within the orbit. The product quality assurance parameters are compared with the same ones but inferred from an image matching methods comparing disparity between two geometric grids; the input ESA image and geometric reference image (Global Land Survey data). A comparison with relative USGS products is also performed.

Proceedings Article | 9 October 2018 Presentation + Paper

Bulk reprocessing of the ALOS PRISM/AVNIR-2 archive of the European Space Agency: level 1 orthorectified data processing and data quality evaluation

Sébastien Saunier, Rubinder Mannan, Peter Schwind, Rupert Mueller, Tobias Storch, Roberto Biasutti, Ferran Gascon, Philippe Goryl, Marco Meloni

Proceedings Volume 10789, 1078906 (2018) https://doi.org/10.1117/12.2325618

KEYWORDS: Data archive systems, Image processing, Sensors, Image quality, Modulation transfer functions, Data acquisition, Clouds, Data modeling, Deconvolution

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Proceedings Article | 4 October 2017 Paper

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

Proceedings Volume 10427, 1042702 (2017) https://doi.org/10.1117/12.2278633

KEYWORDS: Landsat, Calibration, Data archive systems, Earth observing sensors, Satellites, Scanners, Remote sensing, Error analysis, Image quality, Image restoration

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Proceedings Article | 15 October 2015 Paper

Bulk processing of the Landsat MSS/TM/ETM+ archive of the European Space Agency

F. Gascon, R. Biasutti, R. Ferrara, P. Fischer, L. Galli, B. Hoersch, S. Lavender, M. Meloni, S. Mica, A. Northrop, A. Paciucci, S. Saunier

Proceedings Volume 9643, 964302 (2015) https://doi.org/10.1117/12.2192847

KEYWORDS: Earth observing sensors, Landsat, Calibration, Inspection, Data archive systems, Clouds, Sensors, Image quality, Reflectivity, Statistical analysis

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Proceedings Article | 26 September 2014 Paper

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

Proceedings Volume 9218, 92181C (2014) https://doi.org/10.1117/12.2062223

KEYWORDS: Landsat, Data archive systems, Data processing, Satellites, Data acquisition, Remote sensing, Scanners, Earth observing sensors, Thermography, Clouds

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