Using Radar Imagery Data to Determine Mixed Forests’ Characteristics

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 tree...

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Bibliographic Details
Main Authors: Viktor Sidorenkov, Iuliia Achikolova, Daniil Astapov, Oleg Ryabtsev
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Environmental Sciences Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4931/22/1/62
Description
Summary: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.
ISSN:2673-4931