Simulation Case Study for Remote Sensing-based Large Scale Forest Inventory

Abstract

Forest monitoring using field inventories is costly and time-consuming. Remote sensing (RS), particularly airborne laser scanning (ALS), provides accurate volume estimates using height and density data. However, frequent ALS surveys are costly. Sampling ALS data instead of full coverage offers a cost-effective alternative, benefiting volume estimation and other forest variables

Keywords

airborne laser scanning; forest inventory; simulation; terrestrial laser scanning; volume estimation

Published in

Publisher: Silvilaser

Conference

SilviLaser 2025, September 29 - October 3, 2025, Québec City, Quebec, Canada

SLU Authors

• Mukhopadhyay, Ritwika

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

• Olofsson, Kenneth

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

• Lindberg, Eva

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

• Nilsson, Mats

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

• Ståhl, Göran

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

• Ekström, Magnus

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

• Persson, Henrik

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Earth Observation

Permanent link to this page (URI)

https://res.slu.se/id/publ/145014