Predicting stand age in managed forests using National Forest Inventory field data and airborne laser scanning

Predicting stand age in managed forests using National Forest Inventory field data and airborne laser scanning

Abstract Background The aim of this study was to construct a nationwide stand age model by using National Forest Inventory (NFI) data and nationwide airborne laser scanning (ALS) data. In plantation forestry, age is usually known. While this is not the case in boreal managed forests, age is still se...

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Bibliographic Details
Main Authors: Matti Maltamo, Hermanni Kinnunen, Annika Kangas, Lauri Korhonen
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:Forest Ecosystems
Subjects:
Forest stock age
LiDAR
NFI
Nationwide model
Growth conditions
Online Access:http://link.springer.com/article/10.1186/s40663-020-00254-z

Internet

http://link.springer.com/article/10.1186/s40663-020-00254-z

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