The Earth Observation Data for Habitat Monitoring (EODHaM) system |
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| Institution: | 1. Centre for Ecosystem Sciences, School of Biological, Earth and Environmental Science, The University of New South Wales, High Street, Kensington, NSW 2052, Australia;2. National Research Council – Institute of Intelligent Systems for Automation (CNR-ISSIA), Via G. Amendola 122, 70126 Bari, Italy;3. Institute of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, Ceredigion SY23 3DB, United Kingdom;4. CESBIO (CNES/CNRS/UPS/IRD), 18, Avenue Edouard Belin, 31401 Toulouse Cedex 9, France;5. Information Technologies Institute (ITI), Centre for Research & Technology Hellas, 6th km Harilaou – Thermi, 57001 Thessaloniki, Greece;6. Alterra, Wageningen UR, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands;7. IRD-UMR 228 ESPACE-DEV, MTD-Montpellier, 500 rue Jean-François Breton, 34093 Montpellier Cedex, France;8. InBIO/CIBIO & Faculdade de Ciências da Universidade do Porto, Edifício FC4 (Biologia), Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal;9. Department of Agro-Environmental and Terrestrial Sciences, University of Bari, Aldo Moro, Via Orbona 4, 70126 Bari, Italy |
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| 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. |
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| Keywords: | Habitat Land cover Classification Monitoring Remote sensing |
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