Retrospective regional level land cover map for Ukraine: methodology of development and results analysis

1Kussul, N, 2Shelestov, A, 3Skakun, S, 4Basarab, R, 2Yaylimov, B, 5Lavreniuk, MS, 6Kolotii, A, 2Yashchuk, D
1Space Research Institute of the National Academy of Science of Ukraine and the National Space Agency of Ukraine, Kyiv, National Technical University of Ukraine «Kyiv Polytechnic Institute», Kyiv, Ukraine
2Space Research Institute of the National Academy of Science of Ukraine and the National Space Agency of Ukraine, Kyiv, Ukraine, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
3Integration-Plus LTD
4Space Research Institute of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine, Kyiv, Integration-Plus LTD, Kyiv, Ukraine
5Space Research Institute of the National Academy of Science of Ukraine and the National Space Agency of Ukraine, Kyiv, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
6Space Research Institute of the National Academy of Science of Ukraine and the National Space Agency of Ukraine, Kyiv, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Kosm. nauka tehnol. 2015, 21 ;(3):31–39
https://doi.org/10.15407/knit2015.03.031
Section: Study of the Earth from Space
Publication Language: Ukrainian
Abstract: 

This paper presents the methodology of retrospective land cover mapping for Ukrainian territory. Proposed methodology is based on intelligent processing techniques of satellite data, namely neural network classification of time series of Landsat-4, Landsat-5, Landsat-7 imagery (with 30m spatial resolution). As the result of its implementation we've obtained land cover maps for all Ukrainian territory over 1990, 2000 and 2010 years with the average accuracy of 95 % (produced on independent test set)

Keywords: classification, mapping, neural networks, remote sensing, satellite imagery
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