Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach

N Pahlevan, B Smith, J Schalles, C Binding… - Remote Sensing of …, 2020 - Elsevier
Consistent, cross-mission retrievals of near-surface concentration of chlorophyll-a (Chla) in
various aquatic ecosystems with broad ranges of trophic levels have long been a complex …

[HTML][HTML] Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters

YW Kim, TH Kim, J Shin, DS Lee, YS Park, Y Kim… - Ecological …, 2022 - Elsevier
Abstract The MultiSpectral Instrument (MSI) on-board Sentinel-2 provides satellite images at
spatiotemporal resolutions suitable for chlorophyll a (Chla) retrieval from inland and coastal …

A chlorophyll-a algorithm for Landsat-8 based on mixture density networks

B Smith, N Pahlevan, J Schalles, S Ruberg… - Frontiers in Remote …, 2021 - frontiersin.org
Retrieval of aquatic biogeochemical variables, such as the near-surface concentration of
chlorophyll-a (Chl a) in inland and coastal waters via remote observations, has long been …

Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery

MH Tavares, RC Lins, T Harmel, CR Fragoso Jr… - ISPRS Journal of …, 2021 - Elsevier
Remote monitoring of chlorophyll-a (chla) has been widely used to evaluate the trophic state
of inland and coastal waters, however, there is still much uncertainty in the algorithms …

Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters

N Pahlevan, B Smith, C Binding, D Gurlin, L Li… - Remote Sensing of …, 2021 - Elsevier
Following more than two decades of research and developments made possible through
various proof-of-concept hyperspectral remote sensing missions, it has been anticipated that …

A global approach for chlorophyll-a retrieval across optically complex inland waters based on optical water types

C Neil, E Spyrakos, PD Hunter, AN Tyler - Remote Sensing of Environment, 2019 - Elsevier
Numerous algorithms have been developed to retrieve chlorophyll-a (Chla) concentrations
(mg m− 3) from Earth observation (EO) data collected over optically complex waters …

Space-time chlorophyll-a retrieval in optically complex waters that accounts for remote sensing and modeling uncertainties and improves remote estimation accuracy

J He, Y Chen, J Wu, DA Stow, G Christakos - Water research, 2020 - Elsevier
Remote sensing reflectance (Rrs) values measured by satellite sensors involve large
amounts of uncertainty leading to non-negligible noise in remote Chlorophyll-a (Chl-a) …

Harmonized chlorophyll-a retrievals in inland lakes from Landsat-8/9 and Sentinel 2A/B virtual constellation through machine learning

Z Cao, R Ma, M Liu, H Duan, Q Xiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Moderate-high-resolution satellite missions provide an opportunity to capture subtle spatial
variability in lakes; however, the sparsity of time series for individual satellite instruments …

Band ratios combination for estimating chlorophyll-a from sentinel-2 and sentinel-3 in coastal waters

MD Tran, V Vantrepotte, H Loisel, EN Oliveira, KT Tran… - Remote Sensing, 2023 - mdpi.com
Chlorophyll-a concentration (Chl-a) is a crucial parameter for monitoring the water quality in
coastal waters. The principal aim of this study is to evaluate the performance of existing Chl …

[HTML][HTML] Assessment of atmospheric correction algorithms for the Sentinel-2A MultiSpectral Imager over coastal and inland waters

MA Warren, SGH Simis, V Martinez-Vicente… - Remote sensing of …, 2019 - Elsevier
The relatively high spatial resolution, short revisit time and red-edge spectral band (705 nm)
of the ESA Sentinel-2 Multi Spectral Imager makes this sensor attractive for monitoring water …