The Earth Observation Data for Habitat Monitoring (EODHaM) system

Richard Lucas, Palma Blonda, Peter Bunting, Gwawr Jones, Jordi Inglada, Marcela Arias, Vasiliki Kosmidou, Zisis I Petrou, Ioannis Manakos, Maria Adamo, Rebecca Charnock, Cristina Tarantino, Caspar A Mücher, Rob H. G. Jongman, Henk Kramer, Damien Arvor, João Pradinho Honrado, Paola Mairota

Research output: Contribution to journalArticlepeer-review

55 Citations (SciVal)
188 Downloads (Pure)

Abstract

To support decisions relating to the use and conservation of protected areas and surrounds, the EU-funded BIOdiversity multi-SOurce monitoring System: from Space TO Species (BIO_SOS) project has developed the Earth Observation Data for HAbitat Monitoring (EODHaM) system for consistent mapping and monitoring of biodiversity. The EODHaM approach has adopted the Food and Agriculture Organization Land Cover Classification System (LCCS) taxonomy and translates mapped classes to General Habitat Categories (GHCs) from which Annex I habitats (EU Habitats Directive) can be defined. The EODHaM system uses a combination of pixel and object-based procedures. The 1st and 2nd stages use earth observation (EO) data alone with expert knowledge to generate classes according to the LCCS taxonomy (Levels 1 to 3 and beyond). The 3rd stage translates the final LCCS classes into GHCs from which Annex I habitat type maps are derived. An additional module quantifies changes in the LCCS classes and their components, indices derived from earth observation, object sizes and dimensions and the translated habitat maps (i.e., GHCs or Annex I). Examples are provided of the application of EODHaM system elements to protected sites and their surrounds in Italy, Wales (UK), the Netherlands, Greece, Portugal and India.
Original languageEnglish
Pages (from-to)17-28
Number of pages12
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume37
Early online date18 Nov 2014
DOIs
Publication statusPublished - 01 May 2015

Keywords

  • habitat
  • land cover
  • classification
  • monitoring
  • remote sensing

Fingerprint

Dive into the research topics of 'The Earth Observation Data for Habitat Monitoring (EODHaM) system'. Together they form a unique fingerprint.

Cite this