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...
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 |
Similar Items
-
Improved estimation of forest stand volume by the integration of GEDI LiDAR data and multi-sensor imagery in the Changbai Mountains Mixed forests Ecoregion (CMMFE), northeast China
by: Lin Chen, et al.
Published: (2021-08-01) -
Forest Disturbance Monitoring Using Cloud-Based Sentinel-2 Satellite Imagery and Machine Learning
by: Tamás Molnár, et al.
Published: (2024-01-01) -
Radar Data for Identifying the Characteristics of Tropical Forest Stands
by: Agus Wuryanta
Published: (2016-08-01) -
Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
by: Lang Mait, et al.
Published: (2024-12-01) -
Radar backscattering of forest stands /
by: 380807 Hoekman, Dirk H.