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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, Håkan

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

Book title: Proceedings of SilviLaser 2015
Publisher: SilviLaser

Conference

SilviLaser 2015.

Authors' information

Nyström, Mattias
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Lindgren, Nils
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Wallerman, Jörgen
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Grafström, Anton
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Muszta, Anders
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Nyström, Kenneth
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Ståhl, Göran
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Olsson, Håkan
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