Algal blooms in the Arabian Sea, particularly during the winter monsoon, pose serious environmental risks due to oxygen depletion and disruption of marine ecosystems. This study demonstrates an all-weather, high-resolution monitoring approach by synergistically integrating EOS-04 C-band SAR with optical data from EOS-06 OCM-3 and Sentinel-3 OLCI. SAR effectively captures bloom-induced surface wave damping as dark signatures, overcoming cloud and resolution limitations of optical sensors. Analysis of major bloom events in February 2023 and 2024, validated with Bio-Argo data, shows strong correspondence between SAR backscatter and Chl-a. SAR resolves sub-mesoscale structures, while PCA leverages multi-sensor synergy to significantly enhance bloom characterization, offering a reliable tool for monitoring Arabian Sea bloom dynamics. Read More..
Collaborations
Extreme Rainfall Prediction and CO2 Source-Sink Assessment
NRSC-ISRO & IISc Collaboration on Extreme Rainfall Prediction and CO2 Source-Sink Assessment
Estimation of CO2 fluxes in the shaded coffee ecosystem region of Karnataka
Collaboration with Central Coffee Research Institute for the Carbon Flux Studies with Eddy Covariance in the shaded coffee ecosystem region of Karnataka
Monitoring and assessment of Air Pollution (MAAP) using IOT sensors
A prototype solution to monitor the air quality on CO, PM2.5 and PM10 using cost effective IoT sensors is developed and demonstrated at “Smart City Hackathon 2018"
Continuous CO2 flux information to study the carbon net-energy in the temperate ecosystem is being generated using an eddy covariance flux tower.
Publications
Unravelling the Interannual Changes in the Decade Observations of GHGs as Climate Indicators
Interannual variations of CO2 and CH4 for a decade between the years 2013 and 2022 over the suburban city of Shadnagar, near Hyderabad, India is reported here. Know More..
Wind power potential over India using ERA5 reanalysis
In this study, we estimate wind power potential at 100 m level over the Indian domain using data from the ERA5 reanalysis for 1979–2018 through the Weibull mixture distribution. Visit
Deciphering the Signatures of Oceanic Convective Rain Cells
In this paper, we have used C-band SAR images and near-simultaneous observations from the global precipitation measurements (GPM) to study the signatures of multiple convective rain cells. Read More..