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

被引:19
作者
Manakos, Ioannis [1 ]
Tomaszewska, Monika [2 ,3 ]
Gkinis, Ioannis [4 ]
Brovkina, Olga [5 ]
Filchev, Lachezar [6 ]
Genc, Levent [7 ]
Gitas, Ioannis Z. [8 ]
Halabuk, Andrej [9 ]
Inalpulat, Melis [7 ]
Irimescu, Anisoara [10 ]
Jelev, Georgi [6 ]
Karantzalos, Konstantinos [4 ]
Katagis, Thomas [8 ]
Kupkova, Lucie [11 ]
Lavreniuk, Mykola [12 ,13 ]
Mesaros, Minucer [14 ]
Mihailescu, Denis [10 ]
Nita, Mihai [15 ]
Rusnak, Tomas [16 ]
Stych, Premysl [11 ]
Zemek, Frantisek [5 ,17 ]
Albrechtova, Jana [11 ]
Campbell, Petya [18 ,19 ]
机构
[1] Ctr Res & Technol Hellas CERTH, Informat Technol Inst, Thessaloniki 57001, Greece
[2] South Dakota State Univ, GSCE, Brookings, SD 57007 USA
[3] Inst Geodesy & Cartog, PL-02679 Warsaw, Poland
[4] Natl Tech Univ Athens, Remote Sensing Lab, Athens 15780, Greece
[5] Czech Acad Sci, Global Change Res Inst, Brno 60300, Czech Republic
[6] BAS, SRTI, Remote Sensing & GIS Dept, Sofia 1113, Bulgaria
[7] Canakkale Onsekiz Mart Univ, Fac Architecture & Design, Dept Urban & Reg Planning, Land Use & Climate Change Lab, Terzioglu Campus, TR-17100 Merkez Canakkale, Turkey
[8] Aristotle Univ Thessaloniki, Sch Forestry & Nat Environm, Lab Forest Management & Remote Sensing, Thessaloniki 54124, Greece
[9] Slovak Acad Sci, Inst Landscape Ecol, Bratislava 81499, Slovakia
[10] Natl Meteorol Adm, Remote Sensing & GIS Lab, Bucharest 013686, Romania
[11] Charles Univ Prague, Fac Sci, Albertov 6, Prague 12843, Czech Republic
[12] NASU, SSAU, Space Res Inst, UA-03680 Kiev, Ukraine
[13] Natl Tech Univ Ukraine, Igor Sikorsky Kiev Polytech Inst, UA-03056 Kiev, Ukraine
[14] Univ Novi Sad, Fac Sci, Dept Geog Tourism & Hotel Management, Novi Sad 21000, Serbia
[15] Transilvania Univ Brasov, Brasov 500036, Romania
[16] Constantine Philosopher Univ Nitra, Fac Nat Sci, Dept Ecol & Environm Sci, Nitra 94974, Slovakia
[17] Univ South Bohemia Ceske Budejovice, Ceske Budejovice 37005, Czech Republic
[18] Univ Maryland Baltimore Cty, Greenbelt, MD 20771 USA
[19] NASA, GSFC, Greenbelt, MD 20771 USA
关键词
land cover; earth observation; validation; weighted accuracy; confidence levels; inter-comparison; SCERIN; ACCURACY ASSESSMENT; CLASSIFICATION; GLOBELAND30;
D O I
10.3390/rs10121967
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 CoverGlobal 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.
引用
收藏
页数:21
相关论文
共 27 条
[21]   Geospatial modeling of land cover change in the Choco-Darien global ecoregion of South America; One of most biodiverse and rainy areas in the world [J].
Fagua, J. Camilo ;
Ramsey, R. Douglas .
PLOS ONE, 2019, 14 (02)
[22]   The Influence of Underlying Land Cover on the Accuracy of MODIS C6.1 Aerosol Products-A Case Study over the Yangtze River Delta Region of China [J].
Sun, Kun ;
Gao, Yang ;
Qi, Bing ;
Yu, Zhifeng .
REMOTE SENSING, 2022, 14 (04)
[23]   Assessment and comparison of Digital Elevation Model (DEM) products in varying topographic, land cover regions and its attribute: a case study in Shikoku Island Japan [J].
Pakoksung, Kwanchai ;
Takagi, Masataka .
MODELING EARTH SYSTEMS AND ENVIRONMENT, 2021, 7 (01) :465-484
[24]   Evaluation and comparison of eight machine learning models in land use/land cover mapping using Landsat 8 OLI: a case study of the northern region of Iran [J].
Jamali, Ali .
SN APPLIED SCIENCES, 2019, 1 (11)
[25]   Identifying Trends in Land Use/Land Cover Changes in the Context of Post-Socialist Transformation in Central Europe: A Case Study of the Greater Olomouc Region, Czech Republic [J].
Vaclavik, Tomas ;
Rogan, John .
GISCIENCE & REMOTE SENSING, 2009, 46 (01) :54-76
[26]   Land Cover Change in the Central Region of the Lower Yangtze River Based on Landsat Imagery and the Google Earth Engine: A Case Study in Nanjing, China [J].
Zhang, Dong-Dong ;
Zhang, Lei .
SENSORS, 2020, 20 (07)
[27]   Assessment and comparison of Digital Elevation Model (DEM) products in varying topographic, land cover regions and its attribute: a case study in Shikoku Island Japan [J].
Kwanchai Pakoksung ;
Masataka Takagi .
Modeling Earth Systems and Environment, 2021, 7 :465-484