Growing stock change estimation using Airborne Laser Scanning data
The high potential of airborne laserscanning (ALS) data for forestry applications has been confirmed in many studies during the last decade.The open question is still the application of ALS data for monitoring applications.Due to the ALS data acquisitions costs re-acquisition are rare until now.Consequently there is on the one hand a lack of data and on the other hand a lack of knowledge of using multi-temporal ALS data for forest monitoring tasks.Therefore,the objective of this study is to analyse the capabilities of ALS data for operational forest monitoring of growing stock of an approx.160 km2 coniferous tree species dominated forest in the Western part of Austria.In addition to two ALS data sets forest inventory data for both ALS acquisition times are available for this study.The results have shown that especially height differences of stable objects between surface models originating from strip differences or errors in the georeferencing have to be minimized using e.g.a least square matching (LSM) in a first step.This study has shown that these height differences could be reduced by the half by using LSM.Thus the remaining height differences can be connected to changes of tree heights and consequently to growing stock.It could also be shown that the growing stock changes derived from the estimated growing stock maps are similar to those derived from the forest inventory data.Finally,it could be shown that calibrated growing stock models can be transferred to ALS data with different acquisition time.
Hollaus Markus Eysn Lothar Karel Wilfried Pfeifer Norbert
Vienna University of Technology, Department of Geodesy and Geoinformation, Research Group Photogrammetry, Gusshausstra(B)e 27-29, A-1040 Vienna, Austria
国际会议
北京
英文
193-201
2013-10-09（万方平台首次上网日期，不代表论文的发表时间）