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Remote Sens. 2014, 6(7), 5976-5994; doi:10.3390/rs6075976

Change Detection Algorithm for the Production of Land Cover Change Maps over the European Union Countries

1
Space Research Centre of the Polish Academy of Sciences, Bartycka 18A 00-716 Warsaw, Poland
2
Institute of Geodesy and Cartography, Modzelewskiego 27, 02-679 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Received: 31 March 2014 / Revised: 6 June 2014 / Accepted: 12 June 2014 / Published: 27 June 2014
(This article belongs to the Special Issue Advances in Geographic Object-Based Image Analysis (GEOBIA))
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Abstract

Contemporary satellite Earth Observation systems provide growing amounts of very high spatial resolution data that can be used in various applications. An increasing number of sensors make it possible to monitor selected areas in great detail. However, in order to handle the volume of data, a high level of automation is required. The semi-automatic change detection methodology described in this paper was developed to annually update land cover maps prepared in the context of the Geoland2. The proposed algorithm was tailored to work with different very high spatial resolution images acquired over different European landscapes. The methodology is a fusion of various change detection methods ranging from: (1) layer arithmetic; (2) vegetation indices (NDVI) differentiating; (3) texture calculation; and methods based on (4) canonical correlation analysis (multivariate alteration detection (MAD)). User intervention during the production of the change map is limited to the selection of the input data, the size of initial segments and the threshold for texture classification (optionally). To achieve a high level of automation, statistical thresholds were applied in most of the processing steps. Tests showed an overall change recognition accuracy of 89%, and the change type classification methodology can accurately classify transitions between classes. View Full-Text
Keywords: change detection; land cover; very high resolution images; MAD; OBIA; automatic; Europe change detection; land cover; very high resolution images; MAD; OBIA; automatic; Europe
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Aleksandrowicz, S.; Turlej, K.; Lewiński, S.; Bochenek, Z. Change Detection Algorithm for the Production of Land Cover Change Maps over the European Union Countries. Remote Sens. 2014, 6, 5976-5994.

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