ESSO - Indian National Centre for Ocean Information Services

(An Autonomous Body under the Ministry of Earth Sciences, Govt. of India)
Home ITCOocean Ocean Colour Remote Sensing - Data, Processing and Analysis [blended course]

OTGA-INCOIS Training Course
on
"Ocean Colour Remote Sensing Data, Processing and Analysis [blended course]"
during October 21-25, 2024.
Organized by
International Training Centre for Operational Oceanography (ITCOocean) ESSO-INCOIS, Hyderabad, India


Overview:

Ocean colour analysis is a proven tool for determining the health of ocean using oceanic biological activity through optical means. Phytoplankton pigment, chlorophyll, are indicators of equilibrium of CO2 concentration between atmosphere and ocean. The oceanic colour changes due to chlorophyll a provides the level of primary productivity whereas the colour change due to CDOM can be attributed to the level of pollution and higher particulate matter. The ability of optical sensors to map the spatial and temporal patterns of ocean colour over regional and global scales has provided important insights into the fundamental bio-optical properties and bio-physical processes occurring in the aquatic media. Chlorophyll, SST and PAR can be operationally scaled up to estimate primary production and estimate the fish stocks. This training focuses on the basics of marine optics, ocean colour remote sensing, and its applications such as mapping primary productivity, phytoplankton classes and algal blooms.

Learning Outcomes:

By the end of the course the participants should be able to:

  • Explain what Ocean Colour Remote Sensing and Marine optics are, and describe Ocean colour- sensor characteristics, data, and uncertainties.
  • Describe Ocean colour Algorithms, Chlorophyll, shallow water remote sensing, algal blooms.
  • Perform atmospheric correction of ocean colour observations.
  • Describe primary production mechanisms and P-I experiments.
  • Perform phytoplankton classification using ocean colour data.
  • Use the SeaDAS tool for processing ocean colour data (including the software and Plug-in tools for ocean data processing).
  • Use different ocean colour algorithms.
  • Generate and validate ocean colour remote sensing products.
  • Understand ocean colour applications like PP, HABs etc.

Course Content:

  • L1: Marine Algae: Occurrence in Ocean to Ocean Colour (Sanjiba Kumar Baliarsingh)
  • L2: Fundamentals of remote sensing with emphasis on ocean colour (Aneesh Lotliker)
  • L3: Introduction to ocean colour satellite data processing with SeaDAS (Alakes Samanta)
  • P1: Introduction to SeaDAS: processing capability and available tools; Processing, Projection, and Binning of satellite ocean colour data using GUI of SeaDAS (Amit Jena & Prem Kumar)
  • L4: Algal bloom in the ocean: causes-consequences and monitoring using ocean colour remote sensing (Susmita Raulo)
  • L5: Ocean Colour Algorithms - Standard and Value-added products (Alakes Samanta)
  • P2: Introduction to SeaDAS: processing capability and available tools; Processing, Projection, and Binning of satellite ocean colour data using GUI of SeaDAS (Amit Jena & Prem Kumar)
  • L6: NASA’s Plankton, Aerosol, Cloud, Ocean Ecosystem (PACE) mission: Overview and data access for water quality monitoring (Amita Mehta)
  • L7: ISRO’ Ocean Colour Monitor-Oceansat: Overview, data access, utilization, and scope (P.V. Nagamani)
  • P3: Automatic processing of ocean colour satellite data using SeaDAS (Amit Jena & Prem Kumar)
  • L8: Phytoplankton functional types from space: opportunities and challenges(Andrea Corredor-Acosta)
  • L9: Application of ocean colour remote sensing in Marine Fishery Advisory Services (Dhanya M. Lal)
  • P4: Mini Project

Target Audience:

Target audiences include, but are not limited to, the following:

  • Ocean and coastal data managers
  • Staff and researchers working on ocean colour applications.
  • Scientific/Technical staff involved in policy/decision making.
  • University graduates.

Note:

Priority will be given to participants originating from the Indian Ocean Rim countries. UNESCO is committed to promote gender equality:applications from women are strongly encouraged.

Language of instruction:

English

Instructors:

  • Dr. Aneesh Lotliker, Scientist INCOIS, MoES
  • Dr. P.V. Nagamani, Scientist, NSRC, ISRO, India
  • Dr. Amita Mehta, Scientist, NASA GSFC, USA
  • Mr. Alakes Samanta, Scientist, INCOIS, MoES, India
  • Dr. Sanjiba Kumar Baliarsingh, Scientist, INCOIS, MoES, India
  • Dr. Dhanya M. Lal, Scientist, INCOIS, MoES, India
  • Dr. Andrea Corredor-Acosta, Post-doctoral Investigator, IDEAL, University of Chile, Chile
  • Dr. Prem Kumar R., Scientist, INCOIS, MoES, India
  • Ms. Susmita Raulo, Scientist, INCOIS, MoES, India
  • Mr. Amit Kumar Jena, Prime Minister's Research Fellow, IIT Bombay, India

Notes:

Pre-course Activities or Assessment :

The mandatory online phase of the course takes place between 14-18 October 2024 and this will be followed by the onsite course between 21-25 October 2024. The shortlisted candidates are expected to complete all the online course material and finish reading the material and the assignments before participating in the onsite course. The grades of the assignments will be added to the final grades.

Candidates must also familiarize themselves with the following:

  • Basic terminal commands (bash) in Linux (ubuntu) based system.
  • NetCDF files data structure
  • Understanding Satellite data levels (L0, L1, L2, L3)
  • Understanding basic concepts of ocean optics

Learner assessment:

Assignment and tests will be conducted during the course while undergoing training. Pre-course assignments will also be counted for final grade.

Course Pre-requisites:

Language and computer skills required:
Applicants are expected to have:

ITCOocean