Improving the accuracy of timber volume and basal area prediction in heterogeneously structured and mixed forests by automated co-registration of forest inventory plots and remote sensing data-Reference-Cited by-同舟云学术

Improving the accuracy of timber volume and basal area prediction in heterogeneously structured and mixed forests by automated co-registration of forest inventory plots and remote sensing data

Published:2023-03 Issue: Volume:532 Page:120795
ISSN:0378-1127
Container-title:Forest Ecology and Management
language:en
Short-container-title:Forest Ecology and Management

Author:

Janssen Simon,Pretzsch Hans,Bürgi Anton,Ramstein Laura,Gallus Bont Leo

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference61 articles.

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4. Combining canopy height and different auxiliaries of tree type map information for timber volume estimation for forest management inventories;Bont;ETH Zürich,2019

5. Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests;Bont;For. Ecol. Manage.,2020

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