Assessment of the quality of taxation based on the results of forest taxation decryption of Sentinel-2 satellite imagery data
https://doi.org/10.21266/2079-4304.2024.251.62-77
Abstract
The article considers the technology of assessing the quality of forest taxation materials based on the analysis of the relationship between the taxation indicators of plantations and their spectral-reflective characteristics. The research uses Sentinel-2 satellite imagery data in the visible and infrared spectral ranges with a spatial resolution of 10 m.
About the Authors
D. Yu. KapitalininRussian Federation
KAPITALININ Dmitry Yu. – Head of the Forestry Department
141202. Institutskaya str. 15. Pushkino. Moscow region
V. M. Sidorenkov
Russian Federation
SIDORENKOV Viktor M. – PhD (Agriculture), Deputy director for research and innovation
141202. Institutskaya str. 15. Pushkino. Moscow region
Yu. S. Achikolova
Russian Federation
ACHIKOLOVA Yuliya S. – Leading engineer of the Laboratory of forest management and forest taxation
141202. Institutskaya str. 15. Pushkino. Moscow region
D. O. Astapov
Russian Federation
ASTAPOV Daniil O. – head of the Laboratory of forest management and forest taxation
141202. Institutskaya str. 15. Pushkino. Moscow region
O. V. Ryabtsev
Russian Federation
ASTAPOV Oleg V. – PhD (Agriculture), Head of Department of innovative technologies, implementation and forest design
141202. Institutskaya str. 15. Pushkino. Moscow region
R. V. Shchekalev
Russian Federation
SHCHEKALEV Roman V. – DSc (Agriculture), Professor of Forestry Department
194021. Institute per. 5. St. Petersburg
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Review
For citations:
Kapitalinin D.Yu., Sidorenkov V.M., Achikolova Yu.S., Astapov D.O., Ryabtsev O.V., Shchekalev R.V. Assessment of the quality of taxation based on the results of forest taxation decryption of Sentinel-2 satellite imagery data. Izvestia Sankt-Peterburgskoj lesotehniceskoj akademii. 2024;(251):62-77. (In Russ.) https://doi.org/10.21266/2079-4304.2024.251.62-77