Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 4, pp. 161-172
Reforestation on abandoned arable lands in the south of Western Siberia and its analysis using remote sensing data
E.A. Terekhin
1 , T.S. Posternak
2 1 Belgorod State National Research University, Belgorod, Russia
2 Tomsk Polytechnic University, Tomsk, Russia
Accepted: 29.03.2019
DOI: 10.21046/2070-7401-2019-16-4-161-172
The article presents the results of reforestation analysis on abandoned arable lands in the south of Western Siberia using remote sensing data. Using data from 152 objects located on the territory of the Tomsk and Kemerovo regions, the quantitative assessment of the relationship between forest of small-leaved deciduous species age and reflectance was carried out for abandoned arable lands. Reflective parameters were studied for abandoned lands with forest stand aged from 8 to 17 years. Increasing the age of forest stands causes a decrease in SWIR range reflectance. The long term dynamics of the NDVI vegetation index has been studied for abandoned lands overgrown with forest vegetation. The increasing of the interannual NDVI values of June and August is characterized by a logarithmic dependence. The largest increase is observed in the first 5 years after the beginning of the reforestation process. The relationship between the crown closure and the June vegetation index values can also be described by the Logarithmic dependence. The increase in the density of forest stands formed on the abandoned lands is accompanied by a decrease in SWIR range reflectance standard deviations.
Keywords: abandoned arable land, forest, reforestation, satellite data, Landsat, MODIS, long-term dynamics, Western Siberia, vegetation index
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