Multitemporales, flugzeuggetragenes Laserscanning für die Forstwirtschaft

Abstract

Multi-temporal airborne laserscanning data for forestry applications During the last decade airborne laserscanning (ALS) data has been established as a suitable data source for three-dimensional description of forests and for deriving forest parameters. For the study area Vorarlberg, Austria, the potential of multi-temporal ALS data (data from 2004 and 2011) was analyzed for deriving the amount of harvests in terms of area and stem volume. The data were used as well to assess the site index with the aid of the changes in top heights. The analyses have shown that harvested areas could be detected with a minimum mapping unit of 20 m2, which corresponds to harvested single trees from the dominant canopy layer. The average amount of harvested stem volume could be estimated with an overall accuracy of 96.4%. The derived changes in top heights clearly reflect the local growth conditions. For the study area Liechtenstein two ALS data sets (leaf-on and leaf-off) were used for the differentiation between coniferous and deciduous forests. Here, an overall accuracy of 92% could be achieved.