- Dona Paula, Goa, India.
- +91-0832- 2450327
- iiosc2020[at]nio[dot]org
| Abstract Submission No. | ABS-2022-05-0133 |
| Title of Abstract | Generation of seamless Chlorophyll maps from satellite data in Indian Ocean |
| Authors | Abhinav*, Dr.S.B.Chodhury, Dr.M.V.R.Shesha Sai |
| Organisation | National Remote Sensing Centre (NRSC) |
| Address | CSG, ECSA, NRSC/ISRO, Hyderabad Hyderabad, Telangana, India Pincode: 500037 Mobile: 8074275908 E-mail: abhi.gmk@gmail.com |
| Country | India |
| Presentation | Poster |
| Abstract | Phytoplankton biomass is generally recognized to play a key role in the global carbon cycle, stressing the need for a better understanding of its spatio temporal distribution and variability in the global ocean. It also plays a role in modulating distribution of heat (through radiative transfer process) in the ocean. Chlorophyll concentration (hereafter Chla) is the main proxy of phytoplankton biomass, representing a key oceanic biogeochemical variables(cullen, 1982). The spatial & temporal distribution of phytoplankton (Chla) in oceans is monitored through space borne ocean color sensors like MODIS, OCM, VIIRS etc.. But the products generated from these sensors have lots of gaps for different reasons like cloud masking, sensor saturation, sun glint, algorithem fail etc. In this study we are producing methodologies(statistical, AI based) for generation of seamless ocean color products from ocean color sensors. |