A consumer's guide to satellite remote sensing of multiple phytoplankton groups in the global ocean

CB Mouw, NJ Hardman-Mountford, S Alvain… - Frontiers in Marine …, 2017 - frontiersin.org
Phytoplankton are composed of diverse taxonomical groups, which are manifested as
distinct morphology, size, and pigment composition. These characteristics, modulated by …

Going beyond standard ocean color observations: lidar and polarimetry

C Jamet, A Ibrahim, Z Ahmad, F Angelini… - Frontiers in Marine …, 2019 - frontiersin.org
Passive ocean color images have provided a sustained synoptic view of the distribution of
ocean optical properties and color and biogeochemical parameters for the past 20-plus …

Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity

C Kuhn, A de Matos Valerio, N Ward, L Loken… - Remote Sensing of …, 2019 - Elsevier
Rivers and other freshwater systems play a crucial role in ecosystems, industry,
transportation and agriculture. Despite the> 40 years of inland water observations made …

[HTML][HTML] Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations

N Pahlevan, S Sarkar, BA Franz… - Remote sensing of …, 2017 - Elsevier
Abstract The European Space Agency's Sentinel-2A mission with the MultiSpectral
Instrument (MSI) onboard was launched in 2015, initiating a new era in high-to-moderate …

[HTML][HTML] Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8

Q Vanhellemont, K Ruddick - Remote Sensing of Environment, 2015 - Elsevier
Monitoring of water quality by satellite ocean colour data requires high quality atmospheric
correction and especially the accurate quantification of the aerosol contribution to the top of …

An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters

TS Moore, MD Dowell, S Bradt, AR Verdu - Remote sensing of environment, 2014 - Elsevier
Bio-optical models are based on relationships between the spectral remote sensing
reflectance and optical properties of in-water constituents. The wavelength range where this …

Sunglint correction of the Multi-Spectral Instrument (MSI)-SENTINEL-2 imagery over inland and sea waters from SWIR bands

T Harmel, M Chami, T Tormos, N Reynaud… - Remote Sensing of …, 2018 - Elsevier
Remote sensing of inland and sea waters depends on the quality of the retrieval of the water-
leaving radiance from the top-of-atmosphere measurements. The water-leaving radiance …

Remote sensing retrievals of colored dissolved organic matter and dissolved organic carbon dynamics in North American estuaries and their margins

F Cao, M Tzortziou, C Hu, A Mannino, CG Fichot… - Remote Sensing of …, 2018 - Elsevier
Dissolved organic carbon, DOC, and the colored component of dissolved organic matter,
CDOM, are key indicators of coastal water quality and biogeochemical state. Yet …

[HTML][HTML] Conterminous United States Landsat-8 top of atmosphere and surface reflectance tasseled cap transformation coefficients

Y Zhai, DP Roy, VS Martins, HK Zhang, L Yan… - Remote Sensing of …, 2022 - Elsevier
The tasseled cap transformation (TCT) has been widely used to decompose satellite multi-
spectral information into “brightness”,“greenness”, and “wetness” components. Published …

Analyzing performances of different atmospheric correction techniques for Landsat 8: Application for coastal remote sensing

CO Ilori, N Pahlevan, A Knudby - Remote Sensing, 2019 - mdpi.com
Ocean colour (OC) remote sensing is important for monitoring marine ecosystems. However,
inverting the OC signal from the top-of-atmosphere (TOA) radiance measured by satellite …