Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region

Land cover is one of the key terrestrial variables used for monitoring and as input for modelling in support of achieving the United Nations Strategical Development Goals. Global and Continental Land Cover Products (GCLCs) aim to provide the required harmonized information background across areas; t...

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Main Authors: Ioannis Manakos, Monika Tomaszewska, Ioannis Gkinis, Olga Brovkina, Lachezar Filchev, Levent Genc, Ioannis Z. Gitas, Andrej Halabuk, Melis Inalpulat, Anisoara Irimescu, Georgi Jelev, Konstantinos Karantzalos, Thomas Katagis, Lucie Kupková, Mykola Lavreniuk, Minučer Mesaroš, Denis Mihailescu, Mihai Nita, Tomas Rusnak, Premysl Stych, Frantisek Zemek, Jana Albrechtová, Petya Campbell
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/10/12/1967
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author Ioannis Manakos
Monika Tomaszewska
Ioannis Gkinis
Olga Brovkina
Lachezar Filchev
Levent Genc
Ioannis Z. Gitas
Andrej Halabuk
Melis Inalpulat
Anisoara Irimescu
Georgi Jelev
Konstantinos Karantzalos
Thomas Katagis
Lucie Kupková
Mykola Lavreniuk
Minučer Mesaroš
Denis Mihailescu
Mihai Nita
Tomas Rusnak
Premysl Stych
Frantisek Zemek
Jana Albrechtová
Petya Campbell
spellingShingle Ioannis Manakos
Monika Tomaszewska
Ioannis Gkinis
Olga Brovkina
Lachezar Filchev
Levent Genc
Ioannis Z. Gitas
Andrej Halabuk
Melis Inalpulat
Anisoara Irimescu
Georgi Jelev
Konstantinos Karantzalos
Thomas Katagis
Lucie Kupková
Mykola Lavreniuk
Minučer Mesaroš
Denis Mihailescu
Mihai Nita
Tomas Rusnak
Premysl Stych
Frantisek Zemek
Jana Albrechtová
Petya Campbell
Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region
Remote Sensing
land cover
earth observation
validation
weighted accuracy
confidence levels
inter-comparison
SCERIN
author_facet Ioannis Manakos
Monika Tomaszewska
Ioannis Gkinis
Olga Brovkina
Lachezar Filchev
Levent Genc
Ioannis Z. Gitas
Andrej Halabuk
Melis Inalpulat
Anisoara Irimescu
Georgi Jelev
Konstantinos Karantzalos
Thomas Katagis
Lucie Kupková
Mykola Lavreniuk
Minučer Mesaroš
Denis Mihailescu
Mihai Nita
Tomas Rusnak
Premysl Stych
Frantisek Zemek
Jana Albrechtová
Petya Campbell
author_sort Ioannis Manakos
title Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region
title_short Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region
title_full Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region
title_fullStr Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region
title_full_unstemmed Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region
title_sort comparison of global and continental land cover products for selected study areas in south central and eastern european region
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-12-01
description Land cover is one of the key terrestrial variables used for monitoring and as input for modelling in support of achieving the United Nations Strategical Development Goals. Global and Continental Land Cover Products (GCLCs) aim to provide the required harmonized information background across areas; thus, they are not being limited by national or other administrative nomenclature boundaries and their production approaches. Moreover, their increased spatial resolution, and consequently their local relevance, is of high importance for users at a local scale. During the last decade, several GCLCs were developed, including the Global Historical Land-Cover Change Land-Use Conversions (GLC), the Globeland-30 (GLOB), Corine-2012 (CLC) and GMES/ Copernicus Initial Operation High Resolution Layers (GIOS). Accuracy assessment is of high importance for product credibility towards incorporation into decision chains and implementation procedures, especially at local scales. The present study builds on the collaboration of scientists participating in the Global Observations of Forest Cover—Global Observations of Land Cover Dynamics (GOFC-GOLD), South Central and Eastern European Regional Information Network (SCERIN). The main objective is to quantitatively evaluate the accuracy of commonly used GCLCs at selected representative study areas in the SCERIN geographic area, which is characterized by extreme diversity of landscapes and environmental conditions, heavily affected by anthropogenic impacts with similar major socio-economic drivers. The employed validation strategy for evaluating and comparing the different products is detailed, representative results for the selected areas from nine SCERIN countries are presented, the specific regional differences are identified and their underlying causes are discussed. In general, the four GCLCs products achieved relatively high overall accuracy rates: 74–98% for GLC (mean: 93.8%), 79–92% for GLOB (mean: 90.6%), 74–91% for CLC (mean: 89%) and 72–98% for GIOS (mean: 91.6%), for all selected areas. In most cases, the CLC product has the lower scores, while the GLC has the highest, closely followed by GIOS and GLOB. The study revealed overall high credibility and validity of the GCLCs products at local scale, a result, which shows expected benefit even for local/regional applications. Identified class dependent specificities in different landscape types can guide the local users for their reasonable usage in local studies. Valuable information is generated for advancing the goals of the international GOFC-GOLD program and aligns well with the agenda of the NASA Land-Cover/Land-Use Change Program to improve the quality and consistency of space-derived higher-level products.
topic land cover
earth observation
validation
weighted accuracy
confidence levels
inter-comparison
SCERIN
url https://www.mdpi.com/2072-4292/10/12/1967
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spelling doaj-65e06e1a005b45bfa79ec6864cc884d52020-11-24T23:57:11ZengMDPI AGRemote Sensing2072-42922018-12-011012196710.3390/rs10121967rs10121967Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European RegionIoannis Manakos0Monika Tomaszewska1Ioannis Gkinis2Olga Brovkina3Lachezar Filchev4Levent Genc5Ioannis Z. Gitas6Andrej Halabuk7Melis Inalpulat8Anisoara Irimescu9Georgi Jelev10Konstantinos Karantzalos11Thomas Katagis12Lucie Kupková13Mykola Lavreniuk14Minučer Mesaroš15Denis Mihailescu16Mihai Nita17Tomas Rusnak18Premysl Stych19Frantisek Zemek20Jana Albrechtová21Petya Campbell22Information Technologies Institute, Centre for Research and Technology Hellas (CERTH), 57001 Thessaloniki, GreeceGeospatial Sciences Centre of Excellence (GSCE), South Dakota State University, Brookings, SD 57007, USARemote Sensing Laboratory, National Technical University of Athens, 15780 Athens, GreeceGlobal Change Research Institute of the Czech Academy of Sciences, 603 00 Brno, Czech RepublicRemote Sensing and GIS Department, Space Research and Technology Institute, Bulgarian Academy of Sciences (SRTI-BAS), 1113 Sofia, BulgariaLand Use and Climate Change Laboratory, Department of Urban and Regional Planning, Faculty of Architecture and Design, Canakkale Onsekiz Mart University, Terzioglu Campus, 17100 Merkez/Çanakkale, TurkeyLaboratory of Forest Management & Remote Sensing, School of Forestry & Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, GreeceInstitute of Landscape Ecology, Slovak Academy of Sciences, 814 99 Bratislava, SlovakiaLand Use and Climate Change Laboratory, Department of Urban and Regional Planning, Faculty of Architecture and Design, Canakkale Onsekiz Mart University, Terzioglu Campus, 17100 Merkez/Çanakkale, TurkeyRemote Sensing and GIS Laboratory, National Meteorological Administration, Bucharest, 013686, RomaniaRemote Sensing and GIS Department, Space Research and Technology Institute, Bulgarian Academy of Sciences (SRTI-BAS), 1113 Sofia, BulgariaRemote Sensing Laboratory, National Technical University of Athens, 15780 Athens, GreeceLaboratory of Forest Management & Remote Sensing, School of Forestry & Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, GreeceFaculty of Science, Charles University, Albertov 6, 128 43 Prague, Czech RepublicSpace Research Institute NASU-SSAU, 03680 Kiev, UkraineDepartment of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Novi Sad 21000, SerbiaRemote Sensing and GIS Laboratory, National Meteorological Administration, Bucharest, 013686, RomaniaTransilvania University of Brasov, Brașov 500036, RomaniaDepartment of Ecology and Environmental Sciences, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, 949 74 Nitra-Chrenová, SlovakiaFaculty of Science, Charles University, Albertov 6, 128 43 Prague, Czech RepublicGlobal Change Research Institute of the Czech Academy of Sciences, 603 00 Brno, Czech RepublicFaculty of Science, Charles University, Albertov 6, 128 43 Prague, Czech RepublicUniversity of Maryland Baltimore County and NASA/GSFC, Greenbelt, MD 20771, USALand cover is one of the key terrestrial variables used for monitoring and as input for modelling in support of achieving the United Nations Strategical Development Goals. Global and Continental Land Cover Products (GCLCs) aim to provide the required harmonized information background across areas; thus, they are not being limited by national or other administrative nomenclature boundaries and their production approaches. Moreover, their increased spatial resolution, and consequently their local relevance, is of high importance for users at a local scale. During the last decade, several GCLCs were developed, including the Global Historical Land-Cover Change Land-Use Conversions (GLC), the Globeland-30 (GLOB), Corine-2012 (CLC) and GMES/ Copernicus Initial Operation High Resolution Layers (GIOS). Accuracy assessment is of high importance for product credibility towards incorporation into decision chains and implementation procedures, especially at local scales. The present study builds on the collaboration of scientists participating in the Global Observations of Forest Cover—Global Observations of Land Cover Dynamics (GOFC-GOLD), South Central and Eastern European Regional Information Network (SCERIN). The main objective is to quantitatively evaluate the accuracy of commonly used GCLCs at selected representative study areas in the SCERIN geographic area, which is characterized by extreme diversity of landscapes and environmental conditions, heavily affected by anthropogenic impacts with similar major socio-economic drivers. The employed validation strategy for evaluating and comparing the different products is detailed, representative results for the selected areas from nine SCERIN countries are presented, the specific regional differences are identified and their underlying causes are discussed. In general, the four GCLCs products achieved relatively high overall accuracy rates: 74–98% for GLC (mean: 93.8%), 79–92% for GLOB (mean: 90.6%), 74–91% for CLC (mean: 89%) and 72–98% for GIOS (mean: 91.6%), for all selected areas. In most cases, the CLC product has the lower scores, while the GLC has the highest, closely followed by GIOS and GLOB. The study revealed overall high credibility and validity of the GCLCs products at local scale, a result, which shows expected benefit even for local/regional applications. Identified class dependent specificities in different landscape types can guide the local users for their reasonable usage in local studies. Valuable information is generated for advancing the goals of the international GOFC-GOLD program and aligns well with the agenda of the NASA Land-Cover/Land-Use Change Program to improve the quality and consistency of space-derived higher-level products.https://www.mdpi.com/2072-4292/10/12/1967land coverearth observationvalidationweighted accuracyconfidence levelsinter-comparisonSCERIN