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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 5, pp. 141-153

Land cover mapping of the Pechora-Ilych Nature Reserve and its vicinity based on reconstructed multitemporal Landsat satellite data

E.A. Gavrilyuk 1 , A.S. Plotnikova 1 , D.E. Plotnikov 2 
1 Center for Forest Ecology and Productivity RAS, Moscow, Russia
2 Space Research Institute RAS, Moscow, Russia
Accepted: 15.10.2018
DOI: 10.21046/2070-7401-2018-15-5-141-153
The aim of this research was to create a new thematic map of forest and other land cover types for Pechora-Ilych Nature Reserve and its vicinity based on Landsat satellite data. We adopted a time series reconstruction technique for high spatial resolution imagery to compensate the lack of cloudless observations for the territory of interest. Based on the reconstructed images, we derived four seasonal multispectral (RED, NIR and SWIR bands) composites, which were used together with additional terrain information (DEM from ALOS and ASTER data) for object-based thematic classification. Preliminary segmentation of satellite images was performed using the Full Lambda Schedule algorithm, followed by Random Forest classification. The basic statistical metrics (mean, standard deviation, maximum, minimum, etc.), calculated within each segment for all bands of seasonal composites, spectral indices obtained on their basis, DEM and its derivatives, were used as variables for classification. We evaluated the importance of statistical metrics and mapping features during the classifier training process in order to identify the optimal set of variables, which was required for the best thematic classes’ discrimination. As a result, we obtained a map with overall classification accuracy of 90.8 % based on the 11 most significant variables (mean values for the bands of winter, spring and summer composites, as well as the DEM height and slope). The mapping accuracy was estimated with a set of control points placed in random stratified manner. The produced map is a base layer for further research related to the development of methods for dynamic mapping of forest fire regimes at the local spatial level.
Keywords: remote sensing, thematic mapping, time series reconstruction, land cover mapping, forest mapping, Pechora-Ilych Nature Reserve, Landsat, Full Lambda Schedule, Random Forest
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