ESSO - Indian National Centre for Ocean Information Services

Overview:

Ocean colour analysis is a proven tool for determining the health of ocean using oceanic biological activity through optical means. Phytoplankton pigment, chlorophyll_a, are indicators of equilibrium of CO2 concentration between atmosphere and ocean. The oceanic colour change 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 sensor 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 focus on basics of marine optics, ocean colour remote sensing, and its applications such as mapping primary productivity, phytoplankton classes and algal blooms.

Aims and Objectives

• To Provide an introduction to Ocean Color Remote Sensing, Marine optics, Ocean colour- sensor characteristics, data, uncertainties.
• To familiarize about Ocean colour Algorithms, Chlorophyll, shallow water remote sensing, algal blooms.
• Perform atmospheric correction of ocean color observations
• To familiarize about marine primary production and P-I experiments
• To perform phytoplankton classification using ocean colour data

Learning Outcomes

• Knowledge on SeaDAS tool for processing ocean colour data.
• Handle different ocean color algorigthms.
• Use of Sea DAS software and Plug-in tools for ocean data processing.
• Generate and validate ocean color remote sensing products.
• Basic understanding of ocean color applications like PP, HABs etc.

Target Audience

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

• Ocean and coastal data managers .
• Staff and researchers working on Ocean Color applications .
• University graduates.

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

Application Process :

Please fill in the online application form on: https://otga.wufoo.com/forms/p16aftzw0cg1yw8/ or https://bit.ly/2k0ge0c

For more detailed information please check: https://www.oceanexpert.net/event/2413

how to apply here: http://bit.ly/2ACZY9r

Period for Applications: 03 - 22 September, 2019

Course Pre-requisites :

• Candidates should have a working knowledge of marine data and formats and preferably be working in institution which is responsible for the management of marine data
• This training course is not an introduction to Ocean Color so candidates are expected to have some previous experience in the use of ocean color data and products.
• Working knowledge of English.
• Participants should preferably bring their own laptops

Course Dates :

November 25-29, 2019

Faculty Members :

• Aneesh Lotliker
• Satya Prakash
• Alakes Samanta
• Sanjiba Kumar Baliarsingh
• Nimit Kumar



For Any questions please contact:

OTGA Coordinator :

• Dr. Claudia Delgado(c.delgado@unesco.org)

OTGA India Regional Training Centre Coordinator :

• Dr.TVS Udaya Bhaskar (itcoocean@incois.gov.in/uday@incois.gov.in)

Agenda / Programme

Time	Day 1	Day 2	Day 3	Day 4	Day 5
09:30-10:00 10:00-11:00	L1: Fundamentals of marine optics and ocean colour remote sensing (Aneesh Lotliker)	L3: Ocean Colour Algorithms - Standard and Value added products (Alakes Samanta)	L5: Remote sensing of phytoplankton functional types (Nimit Kumar)	L7: Remote sensing in operational services (Nimit Kumar)	Mini Project
11:00-11:30	Tea/Coffee	Tea/Coffee	Tea/Coffee	Tea/Coffee	Tea/Coffee
11:30-13:00	L2: Introduction to ocean colour satellite data processing with SeaDAS (Alakes Samanta)	L4: Marine environmental variables vis-a-vis phytoplankton (S. K. Baliarsingh)	L6: Introduction to marine primary productivity and carbon cycle (Satya Prakash)	P3: Generation of value added products using SeaDAS (Alakes Samanta / S. K. Baliarsingh)	Mini Project
13:00-14:00	Lunch	Lunch	Lunch	Lunch	Lunch
14:00-15:30	P1: Introduction to SeaDAS: processing capability and available tools; Processing, Projection and Binning of satellite ocean colour data using GUI of SeaDAS (Alakes Samanta / S. K. Baliarsingh)	P1: Introduction to SeaDAS: processing capability and available tools; Processing, Projection and Binning of satellite ocean colour data using GUI of SeaDAS (Alakes Samanta / S. K. Baliarsingh)	P2: Automatic processing of ocean colour satellite data using SeaDAS (Alakes Samanta / S. K. Baliarsingh)	P3: Generation of value added products using SeaDAS (Alakes Samanta / S. K. Baliarsingh)	Project Presentation
15:30-16:00	Tea/Coffee	Tea/Coffee	Tea/Coffee	Tea/Coffee	Tea/Coffee
16:00-17:30	P1: Introduction to SeaDAS: processing capability and available tools; Processing, Projection and Binning of satellite ocean colour data using GUI of SeaDAS (Alakes Samanta / S. K. Baliarsingh)	P1: Introduction to SeaDAS: processing capability and available tools; Processing, Projection and Binning of satellite ocean colour data using GUI of SeaDAS (Alakes Samanta / S. K. Baliarsingh)	P2: Automatic processing of ocean colour satellite data using SeaDAS (Alakes Samanta / S. K. Baliarsingh)	Mini Project	Valedictory