Dr Luke Brown L.A.Brown4@salford.ac.uk
Lecturer
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, L., Dash, J., Lidon, A., Lopez-Baeza, E., & Dransfeld, S. (2018, July). Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): synergetic exploitation of the Sentinel-2 missions. Presented at IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain
Presentation Conference Type | Other |
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Conference Name | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
Conference Location | Valencia, Spain |
Start Date | Jul 22, 2018 |
End Date | Jul 27, 2018 |
Online Publication Date | Nov 4, 2018 |
Publication Date | Nov 4, 2018 |
Deposit Date | Oct 28, 2022 |
Publisher | Institute of Electrical and Electronics Engineers |
ISBN | 9781538671504 |
DOI | https://doi.org/10.1109/igarss.2018.8518076 |
Publisher URL | http://doi.org/10.1109/igarss.2018.8518076 |
Additional Information | Event Type : Conference |
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