Quantifying decadal stability of lake reflectance and chlorophyll-a from medium-resolution ocean color sensors

Liu, X, Warren, M, Selmes, N and Simis, SGH 2024 Quantifying decadal stability of lake reflectance and chlorophyll-a from medium-resolution ocean color sensors. Remote Sensing of Environment, 306. 114120. https://doi.org/10.1016/j.rse.2024.114120

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Official URL: http://dx.doi.org/10.1016/j.rse.2024.114120


Multi-decadal time-series of Lake Water-Leaving Reflectance (LWLR), part of the Lakes Essential Climate Variable, have typically been interrupted for the 2012–2016 period due to lack of an ocean color sensor with ca�pabilities equivalent to MERIS (2002− 2012) and OLCI (2016 - present). Here we assess, for the first time, the suitability of MODIS/Aqua to estimate LWLR and the derived concentration of chlorophyll-a (Chla) at the global scale across optically complex water types, in an effort to fill these information gaps for climate studies. We first compare the normalized water-leaving reflectance (Rw) derived from two atmospheric correction algorithms (POLYMER and L2gen) against in situ observations. POLYMER shows superior performance, considering the agreement with in situ measurements and the number of valid outputs. An extensive assessment of nine Chla algorithms is then performed on POLYMER-corrected Rw from MODIS observations. The algorithms are tested both in original parameterizations and following calibration against in situ measurements of Chla. We find that the performance of algorithms parameterized per Optical Water Type (OWT) allows considerable improvement of the global Chla retrieval capability. Using 3 years of overlapping observations between MODIS/Aqua and MERIS (2009–2011) and OLCI (2017–2019), respectively, MODIS-derived reflectance and Chla products showed a reasonable degree of long-term stability in 48 inland water bodies. These water bodies, therefore, mark the candidates to study long-term environmental change.

Item Type: Publication - Article
Additional Keywords: Chlorophyll-a Remote sensing Inland waters MODIS-Aqua MERIS OLCI
Divisions: Plymouth Marine Laboratory > Science Areas > Earth Observation Science and Applications
Depositing User: S Hawkins
Date made live: 24 Apr 2024 11:45
Last Modified: 24 Apr 2024 11:45
URI: https://plymsea.ac.uk/id/eprint/10197

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