Synergetic exploitation of the Sentinel-2 missions for validating the Sentinel-3 ocean and land color instrument terrestrial chlorophyll index over a vineyard dominated Mediterranean environment
Synergetic exploitation of the Sentinel-2 missions for validating the Sentinel-3 ocean and land color instrument terrestrial chlorophyll index over a vineyard dominated Mediterranean environment
Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Ocean and Land Color Instrument (OLCI) on-board the Sentinel-3 missions. To ensure its utility in a wide range of scientific and operational applications, validation efforts are required. In the past, direct validation has been constrained by the need for costly airborne hyperspectral data acquisitions, due to the lack of freely available high spatial resolution imagery incorporating appropriate spectral bands. The Multispectral Instrument (MSI) on-board the Sentinel-2 missions now offers a promising alternative. We explored the synergetic use of MSI data for validation of the OLCI Terrestrial Chlorophyll Index (OTCI) over the Valencia Anchor Station, a large agricultural site in the Valencian Community, Spain. Using empirical and machine learning techniques applied to MSI data, in situ measurements were upscaled to the moderate spatial resolution of the OTCI. An RMSECV of 0.09 g·m−2 (NRMSECV = 20.93%) was achieved, highlighting the valuable information MSI data can provide when used in synergy with OLCI data for land product validation. Good agreement between the OTCI and upscaled in situ measurements was observed (r = 0.77, p < 0.01), providing increased confidence to users of the product over vineyard dominated Mediterranean environments.
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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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
(2019)
Synergetic exploitation of the Sentinel-2 missions for validating the Sentinel-3 ocean and land color instrument terrestrial chlorophyll index over a vineyard dominated Mediterranean environment.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12 (6).
(doi:10.1109/JSTARS.2019.2899998).
Abstract
Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Ocean and Land Color Instrument (OLCI) on-board the Sentinel-3 missions. To ensure its utility in a wide range of scientific and operational applications, validation efforts are required. In the past, direct validation has been constrained by the need for costly airborne hyperspectral data acquisitions, due to the lack of freely available high spatial resolution imagery incorporating appropriate spectral bands. The Multispectral Instrument (MSI) on-board the Sentinel-2 missions now offers a promising alternative. We explored the synergetic use of MSI data for validation of the OLCI Terrestrial Chlorophyll Index (OTCI) over the Valencia Anchor Station, a large agricultural site in the Valencian Community, Spain. Using empirical and machine learning techniques applied to MSI data, in situ measurements were upscaled to the moderate spatial resolution of the OTCI. An RMSECV of 0.09 g·m−2 (NRMSECV = 20.93%) was achieved, highlighting the valuable information MSI data can provide when used in synergy with OLCI data for land product validation. Good agreement between the OTCI and upscaled in situ measurements was observed (r = 0.77, p < 0.01), providing increased confidence to users of the product over vineyard dominated Mediterranean environments.
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Accepted/In Press date: 1 February 2019
e-pub ahead of print date: 29 April 2019
Identifiers
Local EPrints ID: 431616
URI: http://eprints.soton.ac.uk/id/eprint/431616
ISSN: 1939-1404
PURE UUID: cd9bb865-e1a1-410f-9494-3f62a88f8dcc
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Date deposited: 11 Jun 2019 16:30
Last modified: 04 Oct 2024 18:05
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Author:
Luke Brown
Author:
Antonio Lidón
Author:
Ernesto Lopez-Baeza
Author:
Steffen Dransfeld
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