ISRO's EOS-06 Satellite captures global phytoplankton concentrations
The Indian Space Research Organisation (ISRO) has announced that the Ocean Colour Monitor (OCM) sensor mounted on its EOS-06 satellite has captured phytoplankton concentrations globally. ISRO stated that the OCM sensor in EOS-06 captures phytoplankton concentrations globally. The EOS-06's Ocean Color Monitor (OCM) sensor captures chlorophyll-A (CHL-A) Worldwide concentrations every 2 days. The image below shows the global product generated at 1 km resolution using data for the period January-December 2024. Ocean colour observations help gather valuable information on the biogeochemical variability of oceans on a global scale.
What is the EOS-06 satellite?
EOS-06, also known as Oceansat-3. It is the third generation satellite in India's OceanSat series. It was launched to continue the services provided by its predecessor, Oceansat-2, with enhanced capabilities. The satellite carries several advanced instruments to support ocean studies and environmental monitoring. One of its major payloads is an Ocean Color Monitor (OCM-3). Several important instruments include the Sea Surface Temperature Monitor (SSTM), the Ku-band Scatterometer (SCAT-3), and ARGOS, a data collection system for environmental monitoring.
Observes Ocean Data
According to ISRO, EOS-06 is envisaged to observe ocean colour data, sea surface temperature and wind vector data for use in oceanological, climatological and meteorological applications. This mission is to ensure the continuous collection of ocean color and air vector data to support operational applications. This data helps scientists monitor marine ecosystems and understand climate change. This is likely to contribute to accurate oceanographic studies and environmental monitoring. Another major objective of EOS-06 is to develop better algorithms and data products to enhance scientific research and real-world applications. The mission aims to improve forecasting and analysis related to climate patterns, fisheries and weather changes by refining data processing methods.