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

doi:10.1016/j.jag.2014.10.011

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

Department of Geography and Earth Sciences

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

56 Citations (Scopus)

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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.

Original language	English
Pages (from-to)	17-28
Number of pages	12
Journal	International Journal of Applied Earth Observation and Geoinformation
Volume	37
Early online date	18 Nov 2014
DOIs	https://doi.org/10.1016/j.jag.2014.10.011
Publication status	Published - 01 May 2015

Keywords

habitat
land cover
classification
monitoring
remote sensing

UN SDGs

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

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

The Earth Observation Data for Habitat Monitoring (EODHAM) systemFinal published version, 5.3 MBLicence: CC BY-NC-ND

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Lucas, R., Blonda, P., Bunting, P., Jones, G., Inglada, J., Arias, M., Kosmidou, V., Petrou, Z. I., Manakos, I., Adamo, M., Charnock, R., Tarantino, C., Mücher, C. A., Jongman, R. H. G., Kramer, H., Arvor, D., Honrado, J. P., & 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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author = "Richard Lucas and Palma Blonda and Peter Bunting and Gwawr Jones and Jordi Inglada and Marcela Arias and Vasiliki Kosmidou and Petrou, {Zisis I} and Ioannis Manakos and Maria Adamo and Rebecca Charnock and Cristina Tarantino and M{\"u}cher, {Caspar A} and Jongman, {Rob H. G.} and Henk Kramer and Damien Arvor and Honrado, {Jo{\~a}o Pradinho} and Paola Mairota",

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Lucas, R, Blonda, P, Bunting, P, Jones, G, Inglada, J, Arias, M, Kosmidou, V, Petrou, ZI, Manakos, I, Adamo, M, Charnock, R, Tarantino, C, Mücher, CA, Jongman, RHG, Kramer, H, Arvor, D, Honrado, JP & 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, Richard

AU - Blonda, Palma

AU - Bunting, Peter

AU - Jones, Gwawr

AU - Inglada, Jordi

AU - Arias, Marcela

AU - Kosmidou, Vasiliki

AU - Petrou, Zisis I

AU - Manakos, Ioannis

AU - Adamo, Maria

AU - Charnock, Rebecca

AU - Tarantino, Cristina

AU - Mücher, Caspar A

AU - Jongman, Rob H. G.

AU - Kramer, Henk

AU - Arvor, Damien

AU - Honrado, João Pradinho

AU - Mairota, Paola

N1 - Lucas, R., Blonda, P., Bunting, P., Jones, G., Inglada, J., Arias, M., Kosmidou, V., Petrou, Z. I., Manakos, I., Adamo, M., Charnock, R., Tarantino, C., Mücher, C. A., Jongman, R. H. G., Kramer, H., Arvor, D., Honrado, J. P., Mairota, P. (2015). The Earth Observation Data for Habitat Monitoring (EODHaM) system. International Journal of Applied Earth Observation and Geoinformation, 37, 17-28.

PY - 2015/5/1

Y1 - 2015/5/1

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 - habitat

KW - land cover

KW - classification

KW - monitoring

KW - remote sensing

UR - http://hdl.handle.net/2160/27179

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DO - 10.1016/j.jag.2014.10.011

M3 - Article

SN - 0303-2434

VL - 37

SP - 17

EP - 28

JO - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

ER -

The Earth Observation Data for Habitat Monitoring (EODHaM) system

Abstract

Keywords

UN SDGs

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Richard Lucas

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The Earth Observation Data for Habitat Monitoring (EODHaM) system

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Keywords

UN SDGs

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Richard Lucas

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