The Earth Observation Data for Habitat Monitoring (EODHaM) System

R.M. Lucas; P. Blonda; P. Bunting; G. Jones; J. Inglada; M. Arias-Maldonado; V. Kosmidou; Z. Petrou; I. Manakos; M. Adamo; R. Charnock; C. Tarantino; C.A. Mücher; H. Kramer; R.H.G. Jongman; J. Honrado; P. Mairota

doi:10.1016/j.jag.2014.10.011

The Earth Observation Data for Habitat Monitoring (EODHaM) System

R.M. Lucas, P. Blonda^*, P. Bunting, G. Jones, J. Inglada, M. Arias-Maldonado, V. Kosmidou, Z. Petrou, I. Manakos, M. Adamo, R. Charnock, C. Tarantino, C.A. Mücher, H. Kramer, R.H.G. Jongman, J. Honrado, P. Mairota

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

52 Citations (Scopus)

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 language	English
Pages (from-to)	17-28
Journal	International Journal of applied Earth Observation and Geoinformation
Volume	37
DOIs	https://doi.org/10.1016/j.jag.2014.10.011
Publication status	Published - 2015

Keywords

remotely-sensed data
categories ghc
file format
vegetation
satellite
classifications
biodiversity
reflectance
phenology
software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jag.2014.10.011Licence: CC BY-NC-ND

Ontwikkeling systematiek voor structuur (monitoring, NAPRO) (BO-11-019.01-034, BO-11-011.01-078)
Mücher, S.
1/01/14 → 31/03/17
Project: EZproject
Remote Sensing & Ecosystems (KB-17-001.02-006)
Mücher, S.
1/01/14 → 31/12/14
Project: EZproject

Cite this

Lucas, R. M., Blonda, P., Bunting, P., Jones, G., Inglada, J., Arias-Maldonado, M., Kosmidou, V., Petrou, Z., Manakos, I., Adamo, M., Charnock, R., Tarantino, C., Mücher, C. A., Kramer, H., Jongman, R. H. G., Honrado, J., & Mairota, P. (2015). The Earth Observation Data for Habitat Monitoring (EODHaM) System. International Journal of applied Earth Observation and Geoinformation, 37, 17-28. https://doi.org/10.1016/j.jag.2014.10.011

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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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Lucas, RM, Blonda, P, Bunting, P, Jones, G, Inglada, J, Arias-Maldonado, M, Kosmidou, V, Petrou, Z, Manakos, I, Adamo, M, Charnock, R, Tarantino, C, Mücher, CA , Kramer, H, Jongman, RHG, Honrado, J & Mairota, P 2015, 'The Earth Observation Data for Habitat Monitoring (EODHaM) System', International Journal of applied Earth Observation and Geoinformation, vol. 37, pp. 17-28. https://doi.org/10.1016/j.jag.2014.10.011

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AU - Lucas, R.M.

AU - Blonda, P.

AU - Bunting, P.

AU - Jones, G.

AU - Inglada, J.

AU - Arias-Maldonado, M.

AU - Kosmidou, V.

AU - Petrou, Z.

AU - Manakos, I.

AU - Adamo, M.

AU - Charnock, R.

AU - Tarantino, C.

AU - Mücher, C.A.

AU - Kramer, H.

AU - Jongman, R.H.G.

AU - Honrado, J.

AU - Mairota, P.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - remotely-sensed data

KW - categories ghc

KW - file format

KW - vegetation

KW - satellite

KW - classifications

KW - biodiversity

KW - reflectance

KW - phenology

KW - software

U2 - 10.1016/j.jag.2014.10.011

DO - 10.1016/j.jag.2014.10.011

M3 - Article

VL - 37

SP - 17

EP - 28

JO - International Journal of applied Earth Observation and Geoinformation

JF - International Journal of applied Earth Observation and Geoinformation

SN - 0303-2434

ER -

The Earth Observation Data for Habitat Monitoring (EODHaM) System

Abstract

Keywords

UN SDGs

Access to Document

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Projects

Ontwikkeling systematiek voor structuur (monitoring, NAPRO) (BO-11-019.01-034, BO-11-011.01-078)

Remote Sensing & Ecosystems (KB-17-001.02-006)

Cite this