Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
The study analysed 2019–2022 summertime canopy height predictions (HICESat) given in ICESat-2 ATLAS dataset ATL08 for hemiboreal forests growing on an area of 40,000 km2 in Estonia around 25.6° E, 58.8° N. In total 12,711 ATL08 20×20 m pixel observations were used from 3,065 forest stands with homog...
Saved in:
Main Authors: | Lang Mait, Tampuu Tauri, Trofimov Heido |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2024-12-01
|
Series: | Metsanduslikud Uurimused |
Subjects: | |
Online Access: | https://doi.org/10.2478/fsmu-2024-0001 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe
by: Devara P. Adiningrat, et al.
Published: (2025-01-01) -
Quantification of Forest Regeneration on Forest Inventory Sample Plots Using Point Clouds from Personal Laser Scanning
by: Sarah Witzmann, et al.
Published: (2025-01-01) -
Distribution, growth, and structure of pine-beech forest stands in the Lviv Roztochchia region
by: Hryhoriy Krynytskyy, et al.
Published: (2024-09-01) -
Monitoring changes of forest height in California
by: Samuel Favrichon, et al.
Published: (2025-01-01) -
Synthesizing field plot and airborne remote sensing data to enhance national forest inventory mapping in the boreal forest of Interior Alaska
by: Pratima Khatri-Chhetri, et al.
Published: (2025-06-01)