Skip to main content
padlock icon - secure page this page is secure

Assessment of coral reef bathymetric mapping using visible Landsat Thematic Mapper data

Buy Article:

$61.00 + tax (Refund Policy)

Bathymetry estimations in shallow areas using satellite multispectral scanners have been used preferentially in areas with clear water and homogeneous bottoms. Reef environments have high water transparency, but also have a rich bottom diversity which introduces several difficulties into water depth accuracy estimations. The aim of the present study was to assess the accuracy in a coral reef system of four bathymetric approaches based on a Landsat Thematic Mapper (TM) image, namely (1) a single linear regression model using the first principal component; (2) a multiple linear regression; (3) a two-step non-supervised classification with multiple linear regression; and (4) a supervised classification. Given the natural patchiness, and cover type and depth variability in the study area (Alacranes Reef ), 473 echosounded profiles were selected under radiometric and topographic criteria, in order to delineate homogeneous areas that allow a better relationship between radiometric and depth data. One thousand and eighty-five profiles that did not meet the criteria were used to assess the model's response in areas where the bottom exhibits high variability. Differences provided by residual analysis and rms. error were used to evaluate the water depth accuracy estimations of the models. A two-step non-supervised approach produced the lowest overall rms. error (2 m), and exhibited balanced over/under error residuals.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: January 15, 2002

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more