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Title: Assessing long-term land cover changes in watershed by spatiotemporal fusion of classifications based on probability propagation: The case of Dniester river basin
Authors: Popov, Mykhailo 
Michaelides, Silas 
Stankevich, Sergey 
Kozlova, Anna 
Piestova, Iryna 
Lubskiy, Mykola 
Titarenko, Olga 
Svideniuk, Mykhailo 
Andreiev, Artem 
Ivanov, Serguei 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Land cover;Change assessment;Spatiotemporal data fusion;Probability propagation;Watershed;Analytic hierarchy process
Issue Date: Apr-2021
Source: Remote Sensing Applications: Society and Environment, 2021, vol. 22, articl. no. 100477
Volume: 22
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Journal: Remote Sensing Applications: Society and Environment 
Abstract: Broad-scale land cover classifications created by using satellite imagery are recognized as important and necessary input to land cover mapping. Evaluation of land cover changes is essential for sustainable watershed management. In this research, a framework for quantitative assessment of long-term land cover changes over large areas is developed. A key feature of the framework is a spatiotemporal fusion of classifications. Herein, a method to resolve the inconsistency of land cover classes at overlapped multi-segment and multi-temporal classifications by considering their probability propagation is proposed. The framework was applied in assessing long-term land cover changes in the Dniester river basin. Two land cover maps, for 2002 and 2018, were obtained with overall accuracy of 81.42% and 81.30%, respectively. The subsequent analysis and quantitative assessment of sixteen-year land cover changes by T. Saaty's analytic hierarchy procedure resulted in a map of the significance of these long-term land cover changes for the Dniester river basin. The major part of the basin (81.6%) exhibits no changes. Land cover changes maintaining favorable conditions for watershed appear over 10.5% of the area, while harmful changes occur over 7.9% of the territory.
ISSN: 2352-9385
DOI: 10.1016/j.rsase.2021.100477
Rights: © Elsevier
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : National Academy of Sciences of Ukraine 
Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Odessa State Environmental University 
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

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