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

doi:10.1553/giscience2013s516

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

Department of Geography and Earth Sciences

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

Abstract

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 language	English
Title of host publication	GI-Forum 2013
Subtitle of host publication	Creating the GISociety: Conference Proceedings
Editors	Thomas Jekel, Adrijana Car, Josef Strobl, Gerald Griesebner
Place of Publication	Wichmann-Verlag, Berlin
Publisher	Wichmann Herbert
Pages	516-519
ISBN (Electronic)	9783879075324
ISBN (Print)	9783700174387
DOIs	https://doi.org/10.1553/giscience2013s516
Publication status	Published - 20 Jun 2013
Event	GI_Forum 2013: Creating the GISociety - Salzburg, Austria Duration: 02 Jul 2013 → 05 Jul 2013

Conference

Conference	GI_Forum 2013
Country/Territory	Austria
City	Salzburg
Period	02 Jul 2013 → 05 Jul 2013
Other	Symposium and Exhibit GISceince & Technology Learning with GI

UN SDGs

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

Access to Document

10.1553/giscience2013s516

Permanent link

Persistent link

Cite this

Lucas, R., Jones, G. A., Bunting, P. J., Kosmidou, V., Petrou, Z. I., Inglada, J., Adamo, M., Blonda, P., Mücher, S., & Arvor, D. (2013). Land Cover and Habitat Classification from Earth Observation Data: A New Approach from BIO_SOS. In T. Jekel, A. Car, J. Strobl, & G. Griesebner (Eds.), GI-Forum 2013: Creating the GISociety: Conference Proceedings (pp. 516-519). Wichmann Herbert. https://doi.org/10.1553/giscience2013s516

@inproceedings{92288adfe0f2486ba9a3e1deca9de871,

title = "Land Cover and Habitat Classification from Earth Observation Data: A New Approach from BIO_SOS",

abstract = "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. ",

author = "Richard Lucas and Jones, {Gwawr Angharad} and Bunting, {Peter John} and Vasiliki Kosmidou and Petrou, {Zisis I} and Jordi Inglada and Maria Adamo and Palma Blonda and Sander M{\"u}cher and Damien Arvor",

year = "2013",

month = jun,

day = "20",

doi = "10.1553/giscience2013s516",

language = "English",

isbn = "9783700174387",

pages = "516--519",

editor = "Thomas Jekel and Adrijana Car and Josef Strobl and Gerald Griesebner",

booktitle = "GI-Forum 2013",

publisher = "Wichmann Herbert",

note = "GI_Forum 2013 : Creating the GISociety ; Conference date: 02-07-2013 Through 05-07-2013",

}

Lucas, R, Jones, GA, Bunting, PJ, Kosmidou, V, Petrou, ZI, Inglada, J, Adamo, M, Blonda, P, Mücher, S & Arvor, D 2013, Land Cover and Habitat Classification from Earth Observation Data: A New Approach from BIO_SOS. in T Jekel, A Car, J Strobl & G Griesebner (eds), GI-Forum 2013: Creating the GISociety: Conference Proceedings. Wichmann Herbert, Wichmann-Verlag, Berlin, pp. 516-519, GI_Forum 2013, Salzburg, Austria, 02 Jul 2013. https://doi.org/10.1553/giscience2013s516

Land Cover and Habitat Classification from Earth Observation Data: A New Approach from BIO_SOS. / Lucas, Richard; Jones, Gwawr Angharad; Bunting, Peter John et al.
GI-Forum 2013: Creating the GISociety: Conference Proceedings. ed. / Thomas Jekel; Adrijana Car; Josef Strobl; Gerald Griesebner. Wichmann-Verlag, Berlin: Wichmann Herbert, 2013. p. 516-519.

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

TY - GEN

T1 - Land Cover and Habitat Classification from Earth Observation Data

T2 - GI_Forum 2013

AU - Lucas, Richard

AU - Jones, Gwawr Angharad

AU - Bunting, Peter John

AU - Kosmidou, Vasiliki

AU - Petrou, Zisis I

AU - Inglada, Jordi

AU - Adamo, Maria

AU - Blonda, Palma

AU - Mücher, Sander

AU - Arvor, Damien

PY - 2013/6/20

Y1 - 2013/6/20

N2 - 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.

AB - 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.

U2 - 10.1553/giscience2013s516

DO - 10.1553/giscience2013s516

M3 - Conference Proceeding (Non-Journal item)

SN - 9783700174387

SP - 516

EP - 519

BT - GI-Forum 2013

A2 - Jekel, Thomas

A2 - Car, Adrijana

A2 - Strobl, Josef

A2 - Griesebner, Gerald

PB - Wichmann Herbert

CY - Wichmann-Verlag, Berlin

Y2 - 2 July 2013 through 5 July 2013

ER -

Lucas R, Jones GA, Bunting PJ, Kosmidou V, Petrou ZI, Inglada J et al. Land Cover and Habitat Classification from Earth Observation Data: A New Approach from BIO_SOS. In Jekel T, Car A, Strobl J, Griesebner G, editors, GI-Forum 2013: Creating the GISociety: Conference Proceedings. Wichmann-Verlag, Berlin: Wichmann Herbert. 2013. p. 516-519 doi: 10.1553/giscience2013s516

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

Abstract

Conference

UN SDGs

Access to Document

Permanent link

Fingerprint

Cite this