A survey on automatic habitat mapping

Authors

  • André Diegues
  • João Borges Sousa

Abstract

Habitat mapping can help assess the health of an ecosystem but the task is not always straightforward as, depending on the environment to be mapped, data types can be very different, such as marine and land habitats where in one case you can use sonar images and in the other satellite pictures. In this survey we explore works that used machine learning models when performing habitat mapping.

Downloads

Issue

No. 20 (2018)

Section

Articles

License

Universitat Politècnica de Catalunya has joined the Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities. This declaration proposes the universal acces to the results of scientific and technical research.

All papers presented at Martech will be published in both the UPCommons and the Martech organization web sites, the former being the institutional digital deposit of Universitat Politècnica de Catalunya (https://upcommons.upc.edu). This difussion will be made through the Creative Commons License Attribution-NonCommercial-NoDerivs 2.5 or similar (http://creativecommons.org/licenses/by-nc-nd/2.5/deed.en).

When sending the final paper, the author must agree to the conference having non-exclusive rights on this operation. The author will maintain his/her right to diffuse the paper elsewhere.