Back to BIO800 Back to A Edwards homepage

Remote sensing techniques for tropical coastal management

Web-based resources for lectures

• Remote sensing: introduction
• Sensors and satellites used for coastal management.
• Satellites and sensors. Available for reference after class seminars.
• Compact Airborne Spectrographic Imager (CASI)
• Acquisition and correction of imagery.
• Image classification and mapping of coastal habitats.
• Quantitative assessment of coastal resources. Diagrams.
• Methods for assessing primary production, fisheries, seaweeds, conch, and Trochus stocks.
• Applications of remote sensing to coastal water quality monitoring and bathymetric mapping.

Web-based resources for practicals

• Remote sensing practical lessons. Guide to what you should hand in for assessment.
• Principles of remote sensing. Pencil and paper exercise.

Introduction to the Bilko for Windows 2.0 image processing software

• Introduction to Bilko: Part 1
• Introduction to Bilko: Part 2
• Introduction to Bilko: Part 3
• Introduction to Bilko: Part 4
• Introduction to Bilko: Part 5

Practical lessons in remote sensing for tropical coastal management

In your own time you should complete and write up (with answers to all the questions asked) 5 lessons of Bilko for Windows Module 7: Applications of Satellite and Airborne Image Data to Coastal Management. Copy the set of tables for answers to the lessons (see below) to your disk space to save you having to recreate the tables in Word. Ignore tables for lessons 3 and 4.

These should include lessons 1, 2, 5 and 6, and either lesson 7 or lesson 8 (see list below).

• Lesson 1: Visual interpretation of images with the help of colour composites: getting to know the study area
• Lesson 2: The importance of acquiring images of the appropriate scale and spatial resolution for your objectives
• Lesson 5: Compensating for variable water depth to improve mapping of underwater habitats: why it is necessary
• Lesson 6: Mapping the major inshore marine habitats of the Caicos Bank by multispectral classification using Landsat TM
• Lesson 7: Predicting seagrass standing crop from SPOT XS satellite imagery
• Lesson 8: Assessing mangrove leaf-area index (LAI) using CASI airborne imagery

  BIO800: Tables for answers to Module 7. Copy this Word 97 document to your disk space.

  BIO800: Answers to Lessons. These will be available after you've done these!