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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. 2, pp. 112-127

Automated annual cropland mapping from reconstructed time series of Landsat data

D.E. Plotnikov 1 , P.A. Kolbudaev 1 , S.A. Bartalev 1 , E.A. Loupian 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 05.04.2018
DOI: 10.21046/2070-7401-2018-15-2-112-127
The paper is devoted to the method for annual cropland mapping over two distant regions of Russia with reconstructed seasonal time series of Landsat data. The method makes use of time-series-based spectro-temporal metrics extracted from time series of surface reflectance data in red, near infrared and short-wave infrared, as well as from vegetation indices. The new method aimed at time series reconstruction, which relies on seasonal phenology similarities within group of related objects, is proposed to meet requirements imposed on temporal density for cropland mapping. LAGMA mapping method and Random Forest classifier were used to account for diversity of cropping techniques and environmental conditions within Moscow region and Primorksy krai. Cropland map validation was based on in situ data and satellite imagery of very high spatial resolution and was performed for Kashirsky District (Moscow Region) and Oktyabrsky District (Primorsky Krai), where overall accuracy reached 88.7 % and 84.4 %, respectively.
Keywords: remote sensing, mcropland mapping, Landsat, time series reconstruction, spatio-temoral analysis
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