Evaluation of MODIS, Climate Change Initiative, and CORINE Land Cover Products Based on a Ground Truth Dataset in a Mediterranean Landscape

Margarita Bachantourian, Kyriakos Chaleplis, Alexandra Gemitzi (), Kostas Kalabokidis, Palaiologos Palaiologou and Christos Vasilakos
Additional contact information
Margarita Bachantourian: Department of Kassandra Forest Service, Hellenic Forest Service, Hellenic Ministry of Environment and Energy, 63077 Kassandria, Greece
Kyriakos Chaleplis: Department of Kassandra Fire Service, Hellenic Fire Service, 63077 Athitos, Greece
Alexandra Gemitzi: Department of Environmental Engineering, Democritus University of Thrace, 67100 Xanthi, Greece
Kostas Kalabokidis: Department of Geography, University of the Aegean, 81100 Mytilene, Greece
Palaiologos Palaiologou: Department of Forestry and Natural Environment Management, Agricultural University of Athens, 36100 Karpenisi, Greece
Christos Vasilakos: Department of Geography, University of the Aegean, 81100 Mytilene, Greece

Land, 2022, vol. 11, issue 9, 1-19

Abstract: Land cover can reflect global environmental changes if their associated transitions are quantitatively and correctly analysed, thus helping to assess the drivers and impacts of climate change and other applied research studies. It is highly important to acquire accurate spatial land cover information to perform multidisciplinary analyses. This work aims at estimating the accuracy of three widely used land cover products, the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover product (MCD12Q1), the European Space Agency Climate Change Initiative land cover (ESA-CCI-LC), and the EU CORINE land cover (CLC), all for the reference year of 2018, by comparing them against a fine resolution land cover dataset created for this study with combined ground surveys and high-resolution Large Scale Orthophotography (LSO 25/2015). Initially, the four datasets had their land cover classes harmonized and all were resampled to the same spatial resolution. The accuracy metrics used to conduct the comparisons were Overall Accuracy, Producer’s Accuracy, User’s Accuracy, and the Kappa Coefficient. Comparisons with the reference dataset revealed an underestimation of the forested areas class in all three compared products. Further analysis showed that the accuracy metrics were reasonably high for the broad classes (forest vs. non-forest), with an overall accuracy exceeding 70% in all examined products. On the contrary, in the detailed classification (total land cover mapping), the comparison of the reference dataset with the three land cover products highlighted specific weaknesses in the classification results of the three products, showing that CLC depicted more precisely the landscape characteristics than the two other products, since it demonstrated the highest overall accuracy (37.47%), while MODIS and ESA-CCI-LC revealed a percentage that did not exceed 22%.

Keywords: land cover mapping; Chalkidiki; Greece; land cover differences; classification accuracy (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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