Land cover to habitat map translation: Disambiguation rules based on Earth Observation data

Maria Adamo; Cristina Tarantino; Vasiliki Kosmidou; Zisis Petrou; Ioannis Manakos; Richard M. Lucas; Valeria Tomaselli; Casper A. Mucher; Palma Blonda

doi:10.1109/IGARSS.2013.6723663

Land cover to habitat map translation: Disambiguation rules based on Earth Observation data

Maria Adamo, Cristina Tarantino, Vasiliki Kosmidou, Zisis Petrou, Ioannis Manakos, Richard M. Lucas, Valeria Tomaselli, Casper A. Mucher, Palma Blonda

Department of Geography and Earth Sciences

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

3 Citations (Scopus)

Abstract

Earth Observation (EO) images have been extensively used to provide a synoptic view of land cover/use (LC/LU) patterns and land cover/use changes. Land covers are not as clearly relatable to biodiversity in comparison to habitat classifications which can provide more scope for biodiversity monitoring. The main purpose of the paper is to provide an automatic general framework for translating LC maps (in LCCS taxonomy) into habitat maps (in GHC taxonomy) by means of VHR remote sensing data.

Original language	English
Pages (from-to)	3817-3820
Journal	IEEE International Geoscience and Remote Sensing Symposium Proceedings
DOIs	https://doi.org/10.1109/IGARSS.2013.6723663
Publication status	Published - 27 Jan 2014
Event	2013 IEEE International Geoscience and Remote Sensing Symposium - Melbourne, Australia Duration: 21 Jul 2013 → 26 Jul 2013

Keywords

EO data
land cover
habitat

UN SDGs

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

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10.1109/IGARSS.2013.6723663

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title = "Land cover to habitat map translation: Disambiguation rules based on Earth Observation data",

abstract = "Earth Observation (EO) images have been extensively used to provide a synoptic view of land cover/use (LC/LU) patterns and land cover/use changes. Land covers are not as clearly relatable to biodiversity in comparison to habitat classifications which can provide more scope for biodiversity monitoring. The main purpose of the paper is to provide an automatic general framework for translating LC maps (in LCCS taxonomy) into habitat maps (in GHC taxonomy) by means of VHR remote sensing data.",

keywords = "EO data, land cover, habitat",

author = "Maria Adamo and Cristina Tarantino and Vasiliki Kosmidou and Zisis Petrou and Ioannis Manakos and Lucas, {Richard M.} and Valeria Tomaselli and Mucher, {Casper A.} and Palma Blonda",

note = "cited By 3; 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS ; Conference date: 21-07-2013 Through 26-07-2013",

year = "2014",

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doi = "10.1109/IGARSS.2013.6723663",

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T2 - 2013 IEEE International Geoscience and Remote Sensing Symposium

AU - Adamo, Maria

AU - Tarantino, Cristina

AU - Kosmidou, Vasiliki

AU - Petrou, Zisis

AU - Manakos, Ioannis

AU - Lucas, Richard M.

AU - Tomaselli, Valeria

AU - Mucher, Casper A.

AU - Blonda, Palma

N1 - cited By 3

PY - 2014/1/27

Y1 - 2014/1/27

N2 - Earth Observation (EO) images have been extensively used to provide a synoptic view of land cover/use (LC/LU) patterns and land cover/use changes. Land covers are not as clearly relatable to biodiversity in comparison to habitat classifications which can provide more scope for biodiversity monitoring. The main purpose of the paper is to provide an automatic general framework for translating LC maps (in LCCS taxonomy) into habitat maps (in GHC taxonomy) by means of VHR remote sensing data.

AB - Earth Observation (EO) images have been extensively used to provide a synoptic view of land cover/use (LC/LU) patterns and land cover/use changes. Land covers are not as clearly relatable to biodiversity in comparison to habitat classifications which can provide more scope for biodiversity monitoring. The main purpose of the paper is to provide an automatic general framework for translating LC maps (in LCCS taxonomy) into habitat maps (in GHC taxonomy) by means of VHR remote sensing data.

KW - EO data

KW - land cover

KW - habitat

U2 - 10.1109/IGARSS.2013.6723663

DO - 10.1109/IGARSS.2013.6723663

M3 - Article

SN - 2153-7003

SP - 3817

EP - 3820

JO - IEEE International Geoscience and Remote Sensing Symposium Proceedings

JF - IEEE International Geoscience and Remote Sensing Symposium Proceedings

Y2 - 21 July 2013 through 26 July 2013

ER -

Land cover to habitat map translation: Disambiguation rules based on Earth Observation data

Abstract

Keywords

UN SDGs

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