About the tutorial session:

The tutorial session will be presented on 30th October – 3rd November 2018 at Jeju International Marine Science Research & Logistics Center of Korea Institute of Ocean Science and Technology (KIOST).


Jeju International Marine Science Research & Logistics Center
2670 Iljudong-ro, Gujwa-eup, Jeju, Jeju Island, Republic of Korea (ZIP: 63349)
TEL : +82-64-798-6000


Tentative Time Table (30th October – 3rd November 2018):


Start time End time Length (min) Day 1
Day 2
Wed. 31-Oct
Day 3
Thurs. 01-Nov
Day 4
Fri. 02-Nov
Day 5
Sat. 03-Nov
9:00 10:00 1:00 Practical #1
Accessing data: ERDDAP introduction
– C.Wilson
Practical #2
Accessing data: using R or MATLAB
– C.Wilson
Practical #4
– J.Gower
Time to work on projects
10:00 11:00 1:00 Welcome and introduction
11:00 11:30 0:30 Break Break Break Break Break
11:30 12:30 1:00 Fundamentals of RS
(Visible wavelength)
Accessing data #1
– C. Wilson
Group discussion: Picking project topics Time to work on projects Student presentations
12:30 13:30 1:00 Lunch Lunch Lunch Lunch Lunch
13:30 14:30 1:00 Fundamentals of RS
(Thermal wavelength)
– K.Park
Fisheries applications
– C. Wilson
Practical #3
– A. Bentamy
Practical #5
– S. Vignudelli
Student presentations
14:30 15:30 1:00 Fundamentals of RS
– S. Vignudelli
Satellite data assimilation
– G. Levy
15:30 16:00 0:30 Break Group tour Break Break Transfer to ICC
16:00 17:00 1:00 Principles and applications of scatterometry
– A. Bentamy
Time to work on projects Time to work on projects
Welcome dinner BBQ night


  • Abderrahim Bentamy
    • Lecture title
      Surface wind and related parameters derived from the microwave satellite sensors
    • Practical session/exercise:
      • Accessing data from scatterometers, altimeters, radiometers, and SAR. Selection of dedicated sites providing satellite data freely.
      • Using online facilities for displaying and investigating satellite observations at various spatial and temporal scales
      • Working with data at selected regional and/or local scales. Using several satellite sources for better understanding the spatial and temporal variations of surface parameters (matlab session).
  • Jim Gower
    • Lecture title
      Generating time series with Giovanni
    • Summary/objective:
      • I will discuss various ocean colour and climate time series, some derived using NASA’s Giovanni tool. Then, students will generate their own time series and share their results during a group discussion.
  • Gad Levy
    • Lecture title
      Satellite data assimilation – an overview
    • Summary/objective:
      • An overview of data assimilation methods used in research and operations (optimum interpolation, Variational Analysis, Bayesian methods); types of data assimilated and common problems with their assimilation and integration, with emphasis on challenges posed by Satellite observations; evaluating, validating, and scoring forecasts.
    • Practical session/exercise:
      • Accessing data and model output for a short term Bayesian forecasting exercise (to be evaluated and scored with possible forecasting competition).
  • Kyung-Ae Park
    • Lecture title
      Fundamentals of Infrared Remote Sensing – an overview of SST Retrieval
    • Summary/objective:
      • An overview of sea surface temperature retrieval methods from near-polar orbiting and geostationary satellites with emphasis on multi-channel SST (MCSST), nonlinear SST (NLSST), in-situ temperature measurements for SST retrieval procedure, and characteristics of SST errors.
  • Young-Je Park
    • Lecture title
      Fundamentals of Infrared Remote Sensing – an overview of SST Retrieval
    • Summary/objective:
      • Simple thought experiment – how the height and speed of satellite determined; brief introduction of applications of ocean color imagery; an overview of ocean color image processing steps; how to relate sea surface reflectance to in-water information – simple reflectance model and inherent optical properties.
  • Stefano Vignudelli
    • Lecture title
      Fundamentals of RS (Microwave) and satellite radar altimetry
    • Summary:
      • Topics covered by the lecture can be grouped into the following main subjects: Theory; Techniques (radar altimetry and SAR), satellite missions (past, present, future); examples showing which ocean information can be retrieved; processing of radar altimetry in different targeted domains (open ocean and coastal zone).
    • Practical session/exercise:
      • Topics covered by the hands-on practical session can be grouped into the following main subjects: identify, access and analyze altimeter data; characterizing differences in satellite-based and tide gauge observations; exploit the retrieved information in research studies and applications, examples using scripts written in Matlab
  • Cara Wilson
    • Lecture title
      Practical #1: Accessing data: An introduction to ERDDAP
      Practical #2: Accessing data: Using the EDC to bring satellite data into ArcGIS
      Lecture #1: Satellite Data & Fisheries
    • Summary/Objective:
      • ERDDAP is a dataserver that was developed at NOAA/SWFSC/ERD. The ERDDAP run by the West Coast Regional Node of CoastWatch serves over 1200 datasets, including satellite data, in-situ data and model data. ERDDAP provides a simple, consistent way to download subsets of scientific datasets in common file formats and allows the user to make graphs and maps. This exercise will introduce the students to the extensive data holdings on the WCRN ERDDAP, and demonstrate how ERDDAP works.
      • The Environmental Data Connector, the EDC, is a tool that ERD had built to make it easier to bring satellite data served on an ERDDAP server or an THREDDS server into ArcGIS. If you use ArcGIS please download and install the EDC on your computer before this lecture. It is available at: https://www.pfeg.noaa.gov/products/EDC/
      • This lecture will primarily focus on R, but some examples using MatLab and python will be available. If you use R please download and install the following libraries before this lecture:
      • Gives an overview of how satellite data is used in the three aspects of fisheries: harvesting, management and conservation.