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Land Surface Processes Analysis Using Sentinel-3 OLCI and Modis Data

Gomez-Dans, J; Lopez-Saldana, G; Lewis, P; Styles, J; Mathieu, P-P; (2018) Land Surface Processes Analysis Using Sentinel-3 OLCI and Modis Data. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. (pp. pp. 8715-8718). IEEE: Valencia, Spain. Green open access

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Abstract

This communication describes the optical processing chain to use Sentinel-3 OLCI and MODIS data as part of the ESA funded Synergy project of the Scientific Exploitation of Sentinel Missions (SEOM) component of the EO Envelope programme. One of the goals of the project is to use Data Assimilation techniques to produce land surface products combining the data from Sentinels-2 and 3. Some of the derived products are the OLCI atmospherically corrected data that can be used to generate a spectral BRDF product from OLCI and MODIS, broadband albedo and different vegetation parameters. The project also implements a series of efficiency improvements to the algorithms to speed up the processing. The demonstrator product uses one year of OLCI and MODIS data (2017).

Type: Proceedings paper
Title: Land Surface Processes Analysis Using Sentinel-3 OLCI and Modis Data
Event: 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Location: Valencia, SPAIN
Dates: 22 July 2018 - 27 July 2018
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/IGARSS.2018.8518768
Publisher version: https://doi.org/10.1109/IGARSS.2018.8518768
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/10073162
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