The earth obsevation data ecosystem monitoring (EODESM) system

Richard Lucas; Anthea L. Mitchell; Ioannis Manakos; Palma Blonda

doi:10.1109/IGARSS.2018.8519474

The earth obsevation data ecosystem monitoring (EODESM) system

Richard Lucas, Anthea L. Mitchell, Ioannis Manakos, Palma Blonda

Adran Daearyddiaeth a Gwyddorau Daear

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

3 Dyfyniadau (Scopus)

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Through the EU FP7 Horizon 2020 ECOPOTENTIAL project, a novel and innovative approach to classification has been developed, which is termed the Earth Observation Data for Ecosystem Monitoring (EODESM), and has been built on concepts behind an implementation of the Earth Observation Data for Habitat Monitoring (EODHaM) system generated as part of the EU FP7 BIOSOS project, applied to Very High Resolution (VHR) Worldview data. The EODESM system facilitates routine classification of land covers according to the Food and Agricultural Organisations Land Cover Classification System (FAOLCCS), translates these to other taxonomies (including General Habitat Classifications; GHCs) and facilitates routine detection of change and the generation of maps indicating the causes and consequences of such change.

Iaith wreiddiol	Saesneg
Teitl	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Cyhoeddwr	IEEE Press
Tudalennau	8985-8987
Nifer y tudalennau	3
ISBN (Electronig)	9781538671504
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/IGARSS.2018.8519474
Statws	Cyhoeddwyd - 31 Hyd 2018
Digwyddiad	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Sbaen Hyd: 22 Gorff 2018 → 27 Gorff 2018

Cyfres gyhoeddiadau

Enw	International Geoscience and Remote Sensing Symposium (IGARSS)
Cyfrol	2018-July

Cynhadledd

Cynhadledd	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Gwlad/Tiriogaeth	Sbaen
Dinas	Valencia
Cyfnod	22 Gorff 2018 → 27 Gorff 2018

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10.1109/IGARSS.2018.8519474

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Lucas, R., Mitchell, A. L., Manakos, I., & Blonda, P. (2018). The earth obsevation data ecosystem monitoring (EODESM) system. Yn 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (tt. 8985-8987). erthygl 8519474 (International Geoscience and Remote Sensing Symposium (IGARSS); Cyfrol 2018-July). IEEE Press. https://doi.org/10.1109/IGARSS.2018.8519474

@inproceedings{cb20c85c99094a4c909d4aab0d507fbd,

title = "The earth obsevation data ecosystem monitoring (EODESM) system",

abstract = "Through the EU FP7 Horizon 2020 ECOPOTENTIAL project, a novel and innovative approach to classification has been developed, which is termed the Earth Observation Data for Ecosystem Monitoring (EODESM), and has been built on concepts behind an implementation of the Earth Observation Data for Habitat Monitoring (EODHaM) system generated as part of the EU FP7 BIOSOS project, applied to Very High Resolution (VHR) Worldview data. The EODESM system facilitates routine classification of land covers according to the Food and Agricultural Organisations Land Cover Classification System (FAOLCCS), translates these to other taxonomies (including General Habitat Classifications; GHCs) and facilitates routine detection of change and the generation of maps indicating the causes and consequences of such change.",

keywords = "Change detection, Earth observation, Environmental variables, Land cover classification",

author = "Richard Lucas and Mitchell, {Anthea L.} and Ioannis Manakos and Palma Blonda",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

year = "2018",

month = oct,

day = "31",

doi = "10.1109/IGARSS.2018.8519474",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE Press",

pages = "8985--8987",

booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",

address = "United States of America",

}

Lucas, R, Mitchell, AL, Manakos, I & Blonda, P 2018, The earth obsevation data ecosystem monitoring (EODESM) system. yn 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8519474, International Geoscience and Remote Sensing Symposium (IGARSS), cyfrol. 2018-July, IEEE Press, tt. 8985-8987, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Sbaen, 22 Gorff 2018. https://doi.org/10.1109/IGARSS.2018.8519474

The earth obsevation data ecosystem monitoring (EODESM) system. / Lucas, Richard; Mitchell, Anthea L.; Manakos, Ioannis et al.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. IEEE Press, 2018. t. 8985-8987 8519474 (International Geoscience and Remote Sensing Symposium (IGARSS); Cyfrol 2018-July).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

TY - GEN

T1 - The earth obsevation data ecosystem monitoring (EODESM) system

AU - Lucas, Richard

AU - Mitchell, Anthea L.

AU - Manakos, Ioannis

AU - Blonda, Palma

PY - 2018/10/31

Y1 - 2018/10/31

N2 - Through the EU FP7 Horizon 2020 ECOPOTENTIAL project, a novel and innovative approach to classification has been developed, which is termed the Earth Observation Data for Ecosystem Monitoring (EODESM), and has been built on concepts behind an implementation of the Earth Observation Data for Habitat Monitoring (EODHaM) system generated as part of the EU FP7 BIOSOS project, applied to Very High Resolution (VHR) Worldview data. The EODESM system facilitates routine classification of land covers according to the Food and Agricultural Organisations Land Cover Classification System (FAOLCCS), translates these to other taxonomies (including General Habitat Classifications; GHCs) and facilitates routine detection of change and the generation of maps indicating the causes and consequences of such change.

AB - Through the EU FP7 Horizon 2020 ECOPOTENTIAL project, a novel and innovative approach to classification has been developed, which is termed the Earth Observation Data for Ecosystem Monitoring (EODESM), and has been built on concepts behind an implementation of the Earth Observation Data for Habitat Monitoring (EODHaM) system generated as part of the EU FP7 BIOSOS project, applied to Very High Resolution (VHR) Worldview data. The EODESM system facilitates routine classification of land covers according to the Food and Agricultural Organisations Land Cover Classification System (FAOLCCS), translates these to other taxonomies (including General Habitat Classifications; GHCs) and facilitates routine detection of change and the generation of maps indicating the causes and consequences of such change.

KW - Change detection

KW - Earth observation

KW - Environmental variables

KW - Land cover classification

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U2 - 10.1109/IGARSS.2018.8519474

DO - 10.1109/IGARSS.2018.8519474

M3 - Conference Proceeding (Non-Journal item)

AN - SCOPUS:85064251315

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings

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T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

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ER -

The earth obsevation data ecosystem monitoring (EODESM) system

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