Workshop on Satellite Water Imaging

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Workshop on hyperspectral remote sensing of water

Using new remote sensing data to quantify and track changes in water composition

Dunedin 11-13 February

Venue: Department of Physics, University of Otago

Meet 9 am Monday 11 February 2013 in Room 533, Level 5, Mathematics and Physics Building Address: Science Building 3, 730 Cumberland Road, Dunedin.

Contact email:

Please send email if you are planning to attend

Course Outline:

The workshop provides a basic introduction on how to get, and use, satellite remote sensing data looking at New Zealand’s coastal and inland waters.

Specifically, we will access data from:

HICO ---,

VIIRS ---,



Basic (multispectral) water remote sensing will be covered with standard products and tools such as:

ESA’s BEAM VISAT: software/

The more advanced sections of the workshop will describe methods for analyzing hyperspectral data from HICO, mostly using codes written in MATLAB.

Provisional outline:

Day 1: Introduction of satellite remote sensing of coastal and in-land waters of New Zealand

09:00-10:00 Introduction to water remote sensing over New Zealand

10:30-11:30 Where to get data, and standard tools for image and product generation.

Day 2: Hyperspectral remote sensing of New Zealand waters using HICO

09:00-10:00 Getting HICO data into and out of MATLAB (Atmospheric correction, Chlorophyll Product Algorithms).

10:30-11:30 Research Methods using Hyperspectral data (Derivative Spectroscopy, Sparse Dictionary Learning, ...).

Day 3: Projects of Interest

9:00 --- 11:30 Each participant can work on ‘special projects’ of their choosing, presumably a water body where they have on-going or future research interest.

Course Instructor:

Nick Tufillaro, Oregon State University (


Participants should bring their own laptop computers for workshop exercises. The more detailed exercises will be demonstrated with ‘MATLAB’, so a working copy of MATLAB --- or an ability to translated very rapidly to a language of your choice (e.g. python) is also recommended to get the most out of the workshop. A video of the much of the material for the first lecture is viewable at:

Images of example data sets are at:,,,,

The workshop is informal, and there are no fees.