Course of satellite oceanography using WIM/WAM

The best way to learn WIM is by doing practical exercises. Satellite oceanography course using WIM/WAM is usually given in 3-4 days and for 10-30 students. Shorter (e.g. 1 day) or longer versions (e.g. 1-2 weeks) are also possible. A sample course  in 4 days has the following components:

Setup and Introduction

Course overview

Getting started
Introduction to satellite oceanography

Computer tips

Day 1

Basics of satellite image analysis

Exercise with WIM/WAM

Image analysis

Ocean color

Processing ocean radiometry data

Day 2

Exercises with L2 satellite data

Exercises with L2 satellite data - commands

Exercises with L2 satellite data - your area

Merging L2 Chl and SST data

Day 2/Level 1B

Exercises with MODIS 250 m data

Exercises with MODIS 250 m data, short

Exercises with MODIS 250 m commands

Exercises with ASTER data

Day 3

Available ocean color data

Available SST data

Time series of satellite data (lecture)

Time series of L3 satellite data

Time series of L3 satellite data - movie; movie for South China Sea

Introduction to Altimetry

Altimetry data

Exercises with altimetry data

Tutorial on compositing

Introduction to compositing

Exercises on anomalies, EOF, PC

Introduction to anomalies, EOF, PC

Exercises on EOF and PC; examples on South China Sea, California, Japan East Sea

Exercises with NG SST data

Day 4

Exercises on edge detection

Edge detection commands

Detection of change

Detection of change short

Primary productivity

Introduction to primary productivity

Validation of satellite data

Introduction to validation

Variance and anomalies

Merging SST data

HAB_Watch

Detecting HABs

 

Each student or a pair of students needs access to a PC with Windows XP or Vista. A DVD with both the WIM and WAM software as well as satellite data is distributed to all the participants. This course includes both lectures and practical tutorials but the emphasis is on practical exercises.
Examples of various projects performed using WIM and WAM are shown here.

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