Environmental Sciences Proceedings (Oct 2022)

Using Radar Imagery Data to Determine Mixed Forests’ Characteristics

  • Viktor Sidorenkov,
  • Iuliia Achikolova,
  • Daniil Astapov,
  • Oleg Ryabtsev

DOI
https://doi.org/10.3390/IECF2022-13046
Journal volume & issue
Vol. 22, no. 1
p. 62

Abstract

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Implementing inventory in remote and hard-to-reach forests is rather challenging. This study develops methods for identifying the qualitative and quantitative characteristics of mixed forests using Sentinel-1 imagery. The relationships between standing volume, forest density, age, and number of trees and radar survey indicators are revealed. The results are compared with forest inventory materials for a part of the study area. For most stands, there is a similarity in the standing volume and forest density definition. The study demonstrates that it is possible to identify quantitative and qualitative forest characteristics using radar survey data.

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