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Bilko Module 7

6. Crude bathymetric mapping using Landsat TM satellite imagery

Author: Dr Alasdair J.Edwards, University of Newcastle, UK.

Aim of Lesson

To demonstrate the effects of image spatial resolution (ranging from 1 m to 80 m) on your ability to discriminate between different coastal habitats.

Learning Objectives

  1. To understand the rationale and assumptions underlying the depth of penetration zone method of Jupp (1988) for mapping bathymetry.
  2. To learn how to sample deep-water pixels to determine maximum DN values returned over deep water for Landsat Thematic Mapper (TM) bands 1 to 4.
  3. To learn how to derive maximum depth of penetration estimates for Landsat TM bands 1 to 4 for the Caicos Bank using UTM coordinate referenced field survey data of depths.
  4. To learn how to combine these data to define depth of penetration (DOP) zones, assign pixels to these zones, and display a very crude bathymetric map of these depth zones.
  5. To refine this map by interpolation using information on maximum and minimum DN values in each DOP zone and create an image where pixel values correspond to depth.
  6. To learn how to create a palette to display depth contours effectively.
  7. To investigate the limitations of the method in terms of the accuracy of image-predicted depths.

How to download the lesson

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