Brown, LA 
ORCID: https://orcid.org/0000-0003-4807-9056, Dash, J, Lidon, AL, Lopez-Baeza, E and Dransfeld, S
2018,
Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): synergetic exploitation of the Sentinel-2 missions
, in: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 22 July 2018 - 27 July 2018, Valencia, Spain.
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Schools: | Schools > School of Computing, Science and Engineering |
| Journal or Publication Title: | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
| Publisher: | Institute of Electrical and Electronics Engineers |
| ISBN: | 9781538671504 |
| Depositing User: | LA Brown |
| Date Deposited: | 28 Oct 2022 11:36 |
| Last Modified: | 28 Oct 2022 11:36 |
| URI: | https://usir.salford.ac.uk/id/eprint/65389 |
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