Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 2, pp. 282-286
Land cover map of Russia derived from Proba-V satellite data
V.A. Egorov
1 , S.A. Bartalev
1 , P.A. Kolbudaev
1 , D.E. Plotnikov
1 , S.A. Khvostikov
1 1 Space Research Institute RAS, Moscow, Russia
Accepted: 24.04.2018
DOI: 10.21046/2070-7401-2018-15-2-282-286
This article is dedicated to development of methods of land cover mapping over Russia using remote sensing data. This work presents first version of Russian land cover map based on Proba-V Earth observation data. Seasonal cloud-free composite images of Proba-V with spatial resolution of 100 m obtained in year 2016 were used as remote sensing indicators, which characterize phenological dynamic of terrestrial vegetation spectral-reflective characteristics. Locally adaptive classification method LAGMA and associated remote sensing data processing software package LAGMA-PLUS were used to map land cover types based on their spectral-reflective characteristics. Locally adaptive classification was based on maximum likelihood criterion. Legend of produced map includes 23 classes of land cover divided into 6 different thematic groups. Proba-V derived land cover map shows considerable increase in mapping details compared to previous maps based on data from MODIS instrument with spatial resolution of 250 m. Regularly updated open archive of multiannual Proba-V data presents an opportunity for annual land cover mapping of Russia.
Keywords: remote sensing, land cover mapping, Proba-V
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