Monitoring inland water quality using remote sensing: Potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing
Given the recent advances in remote sensing analytics, cloud computing, and machine
learning, it is imperative to evaluate capabilities of remote sensing for water quality …
learning, it is imperative to evaluate capabilities of remote sensing for water quality …
Satellite ocean colour: Current status and future perspective
S Groom, S Sathyendranath, Y Ban… - Frontiers in Marine …, 2019 - frontiersin.org
Spectrally resolved water-leaving radiances (ocean colour) and inferred chlorophyll
concentration are key to studying phytoplankton dynamics at seasonal and inter-annual …
concentration are key to studying phytoplankton dynamics at seasonal and inter-annual …
[HTML][HTML] Chlorophyll algorithms for ocean color sensors-OC4, OC5 & OC6
JE O'Reilly, PJ Werdell - Remote sensing of environment, 2019 - Elsevier
A high degree of consistency and comparability among chlorophyll algorithms is necessary
to meet the goals of merging data from concurrent overlapping ocean color missions for …
to meet the goals of merging data from concurrent overlapping ocean color missions for …
[HTML][HTML] An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing
Ocean color measured from satellites provides daily global, synoptic views of spectral water-
leaving reflectances that can be used to generate estimates of marine inherent optical …
leaving reflectances that can be used to generate estimates of marine inherent optical …
An ocean-colour time series for use in climate studies: the experience of the ocean-colour climate change initiative (OC-CCI)
S Sathyendranath, RJW Brewin, C Brockmann… - Sensors, 2019 - mdpi.com
Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate
Observing System (GCOS); and spectrally-resolved water-leaving radiances (or remote …
Observing System (GCOS); and spectrally-resolved water-leaving radiances (or remote …
Performance metrics for the assessment of satellite data products: an ocean color case study
Performance assessment of ocean color satellite data has generally relied on statistical
metrics chosen for their common usage and the rationale for selecting certain metrics is …
metrics chosen for their common usage and the rationale for selecting certain metrics is …
A global approach for chlorophyll-a retrieval across optically complex inland waters based on optical water types
Numerous algorithms have been developed to retrieve chlorophyll-a (Chla) concentrations
(mg m− 3) from Earth observation (EO) data collected over optically complex waters …
(mg m− 3) from Earth observation (EO) data collected over optically complex waters …
Generalized ocean color inversion model for retrieving marine inherent optical properties
Ocean color measured from satellites provides daily, global estimates of marine inherent
optical properties (IOPs). Semi-analytical algorithms (SAAs) provide one mechanism for …
optical properties (IOPs). Semi-analytical algorithms (SAAs) provide one mechanism for …
Improving satellite retrieval of oceanic particulate organic carbon concentrations using machine learning methods
Particulate organic carbon (POC) plays vital roles in marine carbon cycle, serving as a part
of “biological pump” moving carbon to the deep ocean. The blue-to-green band ratio …
of “biological pump” moving carbon to the deep ocean. The blue-to-green band ratio …
The Sea State CCI dataset v1: towards a sea state climate data record based on satellite observations
G Dodet, JF Piolle, Y Quilfen, S Abdalla… - Earth System …, 2020 - essd.copernicus.org
Sea state data are of major importance for climate studies, marine engineering, safety at sea
and coastal management. However, long-term sea state datasets are sparse and not always …
and coastal management. However, long-term sea state datasets are sparse and not always …