Ocean Colour Remote Sensing - Data, Processing and Analysis
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.
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.
L4: Ocean Colour Algorithms - Standard and Value-added products (Alakes Samanta)
P1: Introduction to SeaDAS: processing capability and available tools; Processing, Projection and Binning of satellite ocean colour data using GUI of SeaDAS (Alakes Samanta / Sanjiba Kumar Baliarsingh)
L5: Remote sensing of phytoplankton functional types (Sanjiba Kumar Baliarsingh)
L6: Remote sensing in operational services (TBD)
P2: Automatic processing of ocean colour satellite data using SeaDAS (Alakes Samanta / Sanjiba Kumar Baliarsingh)
L7: Laboratory Analysis of optically active substances (TBD)
P3: Generation of value-added products using SeaDAS (Alakes Samanta / Sanjiba Kumar Baliarsingh)
The mandatory online phase of the course takes place between 28th November – 9th December 2022 and this will be followed by the onsite course. The shortlisted candidates are expected to go through 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
Assignment and tests will be conducted during the course while undergoing training. Pre-course assignments will also be counted for final grade.
Language and computer skills required:
Applicants are expected to have:
a working knowledge of English
basic computer skills
finding resources through search engines
downloading and installing software
using a word processing, presentation software, or other productivity applications
using a data plotting application (e.g., Grapher, Origin, Sigma Plot)
experience/familiarity with a variety of file formats such as: .pdf, doc or .docx, .txt, and .csv
the ability to be self-directed in learning new technology skills (e.g., following a step-by-step tutorial, online video help, or access to support to learn necessary skills)
Computer with Linux based (ubuntu) operating system or dual boot with Linux
To complete this course, you should have access to:
Latest version of either Chrome, Edge, Firefox, or Safari web browsers
Access to internet (access during the onsite phase will be provided by INCOIS only to those who have valid antivirus installed)
For dual boot systems with Linux-Windows, Original Windows OS and active antivirus subscription required for INCOIS provided internet access.
Course duration and format
The online phase of the course (~ 10 hours asynchronous, individual work) takes place between 28th November – 9th December 2022 and this will be followed by the onsite course (30 hours presential) between 12 – 16th December 2022. The shortlisted candidates must go through all the online course material and finish the assignments before participating the physical course. The mandatory online phase of the course consists of reading assignments, self-assessment exercises and software installation and preparation, while the onsite course consists of lectures and practical exercises. Participants should be able to develop a mini project by the end of the course.
A limited number of seats (30) is available. Please complete the online application form available on this LINK. The deadline to submit the application is 8 October 2022 (23:59 CET: Central European Time). There are no tuition fees.
UNESCO is committed to promote equal access principles. Applications from minority or underrepresented groups are strongly encouraged.
A limited number (up to 5 seats depending on costs) of fellowships for international participants is available (partial or in full). For international participants requesting financial support (full or partial), a dully signed endorsement letter from the institution where the applicant is working is mandatory, to be uploaded on the online application form (email not accepted). Failure to submit it will imply automatic exclusion.
Selection process/criteria (30 seats available):
Only professional or technical staff in the field will be considered (students in graduate level are not admitted)
Endorsement of the application by his/her employer (by means of a letter of support from the entity to which he belongs and to which he/she will apply the acquired knowledge) is mandatory.
The expected impact of training on the institution from where the participant is attending.
Priority will be given to participants from Indian Ocean RIM countries.
In case of questions please contact the Course Coordinator and the OTGA Secretariat always using the name of the course as email subject.
In the event of cancellation of the course by the OTGA or its affiliates, we will provide notification of cancellation at least 7 days prior to the course date. In the event of cancellation by the attendee, we should receive notification of cancellation at least 7 days prior to the course date.