Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): synergetic exploitation of the Sentinel-2 missions
Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): synergetic exploitation of the Sentinel-2 missions
Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Sentinel-3 Ocean and Land Colour Instrument (OLCI), and to ensure its utility in a wide range of operational applications, validation efforts are required. In the past, these activities have been constrained by the need for costly airborne hyperspectral data acquisition, but the Sentinel-2 Multispectral Instrument (MSI) now offers a promising alternative. In this paper, we explore the synergetic use of Sentinel-2 MSI data for validation of the Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI) over the Valencia Anchor Station, a large agricultural site in the Valencian Community, Spain. High retrieval accuracy (RMSE = 0.20 g m-2) was obtained by applying machine learning techniques to Sentinel-2 MSI data, highlighting the valuable information it can provide when used in synergy with Sentinel-3 OLCI data for land product validation.
Brown, Luke
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Dash, Jadunandan
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Lidón, Antonio
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Lopez-Baeza, Ernesto
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Dransfeld, Steffen
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5 November 2018
Brown, Luke
3f3ee47e-ee1f-4a44-a223-36059b69ce92
Dash, Jadunandan
51468afb-3d56-4d3a-aace-736b63e9fac8
Lidón, Antonio
a82d51bf-6c2a-4b66-98f5-fbec8ad6f91a
Lopez-Baeza, Ernesto
3cdd1e1c-0a99-413f-8b3a-2711ee39d8e2
Dransfeld, Steffen
cd6b93a2-7b68-455f-987a-947d73777f0a
Brown, Luke, Dash, Jadunandan, Lidón, Antonio, Lopez-Baeza, Ernesto and Dransfeld, Steffen
(2018)
Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): synergetic exploitation of the Sentinel-2 missions.
2018 IEEE International Geoscience and Remote Sensing Symposium.
22 Jul - 27 Nov 2018.
4 pp
.
(doi:10.1109/IGARSS.2018.8518076).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Sentinel-3 Ocean and Land Colour Instrument (OLCI), and to ensure its utility in a wide range of operational applications, validation efforts are required. In the past, these activities have been constrained by the need for costly airborne hyperspectral data acquisition, but the Sentinel-2 Multispectral Instrument (MSI) now offers a promising alternative. In this paper, we explore the synergetic use of Sentinel-2 MSI data for validation of the Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI) over the Valencia Anchor Station, a large agricultural site in the Valencian Community, Spain. High retrieval accuracy (RMSE = 0.20 g m-2) was obtained by applying machine learning techniques to Sentinel-2 MSI data, highlighting the valuable information it can provide when used in synergy with Sentinel-3 OLCI data for land product validation.
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Published date: 5 November 2018
Venue - Dates:
2018 IEEE International Geoscience and Remote Sensing Symposium, 2018-07-22 - 2018-11-27
Identifiers
Local EPrints ID: 426320
URI: http://eprints.soton.ac.uk/id/eprint/426320
PURE UUID: 3d4759ac-93a2-4f77-81b1-6e0ff76be919
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Date deposited: 22 Nov 2018 17:30
Last modified: 14 Dec 2024 05:02
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Contributors
Author:
Luke Brown
Author:
Antonio Lidón
Author:
Ernesto Lopez-Baeza
Author:
Steffen Dransfeld
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