The Land Surface Temperature Synergistic Processor in BEAM: A Prototype towards Sentinel-3

Ana Belen Ruescas, Olaf Danne, Norman Fomferra and Carsten Brockmann
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Ana Belen Ruescas: Brockmann Consult GmbH, Max-Plack Str.2, 21502 Geesthacht, Germany
Olaf Danne: Brockmann Consult GmbH, Max-Plack Str.2, 21502 Geesthacht, Germany
Norman Fomferra: Brockmann Consult GmbH, Max-Plack Str.2, 21502 Geesthacht, Germany
Carsten Brockmann: Brockmann Consult GmbH, Max-Plack Str.2, 21502 Geesthacht, Germany

Data, 2016, vol. 1, issue 3, 1-14

Abstract: Land Surface Temperature (LST) is one of the key parameters in the physics of land-surface processes on regional and global scales, combining the results of all surface-atmosphere interactions and energy fluxes between the surface and the atmosphere. With the advent of the European Space Agency (ESA) Sentinel 3 (S3) satellite, accurate LST retrieval methodologies are being developed by exploiting the synergy between the Ocean and Land Colour Instrument (OLCI) and the Sea and Land Surface Temperature Radiometer (SLSTR). In this paper we explain the implementation in the Basic ENVISAT Toolbox for (A)ATSR and MERIS (BEAM) and the use of one LST algorithm developed in the framework of the Synergistic Use of The Sentinel Missions For Estimating And Monitoring Land Surface Temperature (SEN4LST) project. The LST algorithm is based on the split-window technique with an explicit dependence on the surface emissivity. Performance of the methodology is assessed by using MEdium Resolution Imaging Spectrometer/Advanced Along-Track Scanning Radiometer (MERIS/AATSR) pairs, instruments with similar characteristics than OLCI/ SLSTR, respectively. The LST retrievals were properly validated against in situ data measured along one year (2011) in three test sites, and inter-compared to the standard AATSR level-2 product with satisfactory results. The algorithm is implemented in BEAM using as a basis the MERIS/AATSR Synergy Toolbox. Specific details about the processor validation can be found in the validation report of the SEN4LST project.

Keywords: sentinels; sensor synergy; OLCI; SLSTR; land surface temperature; BEAM (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2016
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