Varunan Theenathayalan

Varunan Theenathayalan
Plymouth Marine Laboratory | PML · Earth Observation Science and Applications

PhD

About

8
Publications
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Citations
Introduction
I work as an Earth observation scientist in the Remote Sensing Group at Plymouth Marine Laboratory, UK. My research involves developing bio-optical models using both in-situ and satellite data that help water quality managers aid the risk assessment activities to protect human and animal health and the ecosystem itself.

Publications

Publications (8)
Article
Fjords in Svalbard are sensitive to the enhanced climate warming-induced glacial meltwater discharge (fresher, nutrient-rich, turbid) that influences its hydrography and biological processes. This study attempts to explain the impacts of underwater light environment and nutrient limitation on the phytoplankton biomass, composition, and light absorp...
Article
Full-text available
The United Nation’s Sustainable Development Goal Life Below Water (SDG-14) aims to “conserve and sustainably use the oceans, seas, and marine resources for sustainable development”. Within SDG-14, targets 14.1 and 14.2 deal with marine pollution and the adverse impacts of human activities on aquatic systems. Here, we present a remote-sensing-based...
Article
Effective monitoring of coral reefs remains a major goal in marine ecology and conservation as these communities representing the most productive ecosystems and hosting approximately one third of all known marine species have been seriously threatened by various anthropogenic activities and climate change events. Space-borne reflectance data are co...
Article
This study intends to develop methodologies that use high resolution satellite data from Landsat 8 (Operational Land Imager) OLI and (Thermal Infrared Sensor) TIRS sensors for characterizing spatial and temporal changes in physical and acoustical properties of coastal lagoon and estuarine waters. It employs multiple steps to achieve this possibilit...
Article
The chlorophyll concentration of a water body is an important proxy for representing the phytoplankton biomass. Its estimation from multi or hyper-spectral remote sensing data in natural waters is generally achieved by using (i) the waveband ratioing in two or more bands in the blue-green or (ii) by using a combination of the radiance peak position...
Article
Quantitative assessment of the pigment phycocyanin (PC) in cyanobacterial blooms is essential to assess their abundance and distribution and consequently aid their management in many recreational waters within inland and coastal environments. In contrast to the open-ocean waters, these water bodies are very complex with a pronounced heterogeneity o...
Article
Prediction of the curve of the absorption coefficient of colored dissolved organic matter (CDOM) and differentiation between marine and terrestrially derived CDOM pools in coastal environments are hampered by a high degree of variability in the composition and concentration of CDOM, uncertainties in retrieved remote sensing reflectance and the weak...
Article
One of the central goals of using satellite ocean color remote sensing is to detect and identify different phytoplankton groups (size classes) and describe their variability continuously and synoptically for various applications including marine ecosystem dynamics, carbon and biogeochemical cycles, and related fields in oceanography. Taking the adv...

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