Land Cover and Habitat Classification from Earth Observation Data: A New Approach from BIO_SOS

Richard Lucas, Gwawr Angharad Jones, Peter John Bunting, Vasiliki Kosmidou, Zisis I Petrou, Jordi Inglada, Maria Adamo, Palma Blonda, Sander Mücher, Damien Arvor

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)


As part of the Biodiversity Multi-Source Monitoring System (BIO_SOS), a new approach to the classification of Food and Agricultural Organisation (FAO) Land Cover Classification System (LCCS) classes from very high resolution (VHR) remote sensing data has been developed. These classes are also translated to General Habitat Categories (GHCs). Examples of the classification are presented for Cors Fochno in Wales but can be generated for any site where appropriate remote sensing data have been acquired. The system has been developed for operational monitoring of protected areas and their surrounds.
Original languageEnglish
Title of host publicationGI-Forum 2013
Subtitle of host publicationCreating the GISociety: Conference Proceedings
EditorsThomas Jekel, Adrijana Car, Josef Strobl, Gerald Griesebner
Place of PublicationWichmann-Verlag, Berlin
PublisherWichmann Herbert
ISBN (Electronic)9783879075324
ISBN (Print)9783700174387
Publication statusPublished - 20 Jun 2013
EventGI_Forum 2013: Creating the GISociety - Salzburg, Austria
Duration: 02 Jul 201305 Jul 2013


ConferenceGI_Forum 2013
Period02 Jul 201305 Jul 2013
OtherSymposium and Exhibit GISceince & Technology Learning with GI


Dive into the research topics of 'Land Cover and Habitat Classification from Earth Observation Data: A New Approach from BIO_SOS'. Together they form a unique fingerprint.

Cite this