ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 4, pp. 140-148

Detection of clear-cuts using satellite-derived global forest change product

E.G. Shvetsov 1 , E.I. Ponomarev 1 
1 Krasnoyarsk Science Center SB RAS, Krasnoyarsk, Russia
Accepted: 05.07.2021
DOI: 10.21046/2070-7401-2021-18-4-140-148
We propose a method for logged areas monitoring using a satellite product of global forest change based on Landsat data and additional GIS layers (land cover, fires). A thematic clear-cut product was created for the Lower Angara region covering 2001–2019 with a spatial resolution of 30 m. The accuracy assessment performed for a sample of clear-cut polygons (about 1500 polygons) in the Angara forest region showed that the thematic product tends to underestimate clear-cut areas roughly by 20 %. The magnitude of the error of the first type (logged area that was missed by the algorithm) was about 27 % of the total area, while the error of the second type (erroneously classified clear cuts) was about 8 %. Total disturbed area between 2001 and 2019 was about 1.8 million ha, while the total area of clear-cuts was 512 thousand ha. Almost 43 % of all logged area occurred in pine-dominated (Pinus silvestris) forest stands, 26 % — in dark coniferous (Pinus sibirica, Abies sibirica, Picea obovata) stands, 25 % — in larch (Larix sibirica) stands and 5 % — in deciduous (Betula spp. , Populus tremula) forests. Mean logged area is ~27.0±12.2 thousand hectares per year. Linear approximation shows a statistically significant trend (r2 = 0.63) of an increase in the logged area within the study area.
Keywords: Angara forest region, clear-cuts, remote sensing data, Landsat
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