Conference paper - Peer-reviewed, 2015
Data assimilation in forest inventory, first empirical results using ALS data
Nyström, Mattias; Lindgren, Nils; Wallerman, Jörgen; Grafström, Anton; Muszta, Anders; Nyström, Kenneth; Ståhl, Göran; Olsson, HåkanAbstract
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 inventoryPublished in
Book title: Proceedings of SilviLaser 2015Publisher: SilviLaser
Conference
SilviLaser 2015.Authors' information
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Lindgren, Nils
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Muszta, Anders
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Associated SLU-program
Forest
Remningstorp
UKÄ Subject classification
Remote Sensing
URI (permanent link to this page)
https://res.slu.se/id/publ/69023