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A three-step confidence assessment framework for classified seabed maps 2016

Marine JNCC Publications Seabed Habitats and Geology 0963-8091 Evidence JNCC report series Marine Marine Habitat Mapping Marine Habitats 591

Abstract

The project was to develop a simple, adaptable and transparent confidence assessment system that produces a qualitative score, indicating the likelihood of a particular habitat being correctly mapped within a study area.

Summary

A simple and adaptable framework is presented for carrying out a qualitative confidence assessment for classified seabed maps, which is based around three criteria:

  1.     Remote sensing coverage.
    
  2.     Distinctness of class boundaries.
    
  3.     Amount of sampling.
    

It is termed a “framework” because of its ability to be adapted to the user’s needs; this includes applying it to a whole study, a single class within a study or individual polygons. The framework has been applied in several projects to date (e.g. Ellwood (2014), Ellwood and Duncan (2015) and Diesing et al (2015)) and examples of these applications are also presented. The final section contains some guidance to aid the reader in developing his or her own three-step confidence assessment method based on this framework.

Resource type Publication

Topic category Environment

Reference date 2016·07·01

Citation
Lillis, H., (2016), A three-step confidence assessment framework for classified seabed maps, JNCC Report No. 591, JNCC, Peterborough, ISSN 0963-8091.

Lineage
The confidence assessment framework can be represented by a simple three-step decision tree, in which the second and third steps can be made dependent on answers to the previous questions, and the final score is a sum of the points awarded for each criterion.

Responsible organisation
Digital and Data Solutions, JNCC publisher

Limitations on public access No limitations

Use constraints Available under the Open Government Licence 3.0

Metadata date 2019·07·19

Metadata point of contact
Digital and Data Solutions, JNCC

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