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Title: LAND COVER CHANGE DETECTION BASED ON THE FALSE COLOR COMPOSITE OF NDBSI DERIVATIVES
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LAND COVER CHANGE DETECTION BASED ON THE FALSE COLOR COMPOSITE OF NDBSI DERIVATIVES
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1314-2704
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English
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21
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2.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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We proposed an approach to detected land cover change based on the false color composite of the combination of bare soil index and building index (NDBSI) derivatives. NDBSI is an index that can distinguish building and vegetation well. In this paper, we first obtained a false color composite, named RGB-NDBSI, based on the NDBSI image of previous phase, NDBSI image of latter phase and NDBSI different image between the two phases. Based on the data generated, we identified the land cover change by BP neural network classification method. We applied the developed method to Landsat images in 2011 and 2020 covering the area of Guangzhou, China.
According to the urban development, five types of land cover change were concerned: “unchanged urban land”, “urban land to Vegetation”, “Vegetation to urban land”, “unchanged Vegetation” and “unchanged Water”. RGB-NDBSI image showed distinct color feature among these change types in the form of light cyan, navy blue, bright yellow, earthy red and khaki. For comparison, NDBSI difference images and RGB-NDBSI images were both classified by another two methods, i.e., K-means clustering, object-oriented classification. The combination of RGB-NDBSI image and BP neural network achieved the best accuracy, with the overall accuracy of about 96% and kappa coefficient 0.93. The experimental results show that the RGB-NDBSI image is an effective solution for change detection |
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conference
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21st International Multidisciplinary Scientific GeoConference SGEM 2021
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21st International Multidisciplinary Scientific GeoConference SGEM 2021, 16 - 22 August, 2021
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Proceedings Paper
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STEF92 Technology
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SGEM International Multidisciplinary Scientific GeoConference
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci
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311-322
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16 - 22 August, 2021
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website
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cdrom
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7921
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land cover change detection (LCCD); false color composite; NDBSI index; BP neural network
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