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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. Kapitalinin
Central Federal District
Russian Federation

KAPITALININ Dmitry Yu. – Head of the Forestry Department

141202. Institutskaya str. 15. Pushkino. Moscow region



V. M. Sidorenkov
All-Russian scientific research institute of forestry and forestry mechanization
Russian Federation

 

SIDORENKOV Viktor M. – PhD (Agriculture), Deputy director for research and innovation

141202. Institutskaya str. 15. Pushkino. Moscow region



Yu. S. Achikolova
All-Russian scientific research institute of forestry and forestry mechanization
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
All-Russian scientific research institute of forestry and forestry mechanization
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
All-Russian scientific research institute of forestry and forestry mechanization
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
St. Petersburg State Forest Technical University
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

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ISSN 2079-4304 (Print)
ISSN 2658-5871 (Online)