Abstract

A first data assimilation case study using a time series of ALS for updating forest stand data is presented. Forest stand data are predicted from each ALS acquisition. Kalman filtering and growth models are then used to combine each new ALS based prediction with forecasts from the previous data acquisition.

Keywords

data assimilation; ALS; LiDAR; forest inventory

Published in

Title: Proceedings of SilviLaser 2015
Publisher: SilviLaser

Conference

SilviLaser 2015.

SLU Authors

• Nyström, Mattias

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

• Lindgren, Nils

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

• Wallerman, Jörgen

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

• Grafström, Anton

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

• Muszta, Anders

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

• Nyström, Kenneth

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

• Ståhl, Göran

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

• Olsson, Håkan

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

Associated SLU-program

Forest
Remningstorp


UKÄ Subject classification

Remote Sensing


Permanent link to this page (URI)

https://res.slu.se/id/publ/69023