Browsing by Author "Nyström, Mattias"
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- ItemChange detection of mountain birch using multi-temporal ALS point clouds. ARTICLE(International Journal of Remote Sensing. Remote Sensing Letters, 2012-04-27) Nyström, Mattias; Holmgren, Johan; Olsson, HåkanUse of multi-temporal laser scanner data is potentially a very efficient method for monitoring of vegetation changes, for example at the alpine tree line. In this study, methods for relative calibration of multi-temporal ALS data sets and detection of experimental changes of tree cover in the forest-tundra ecotone was tested in northern Sweden (68° 20' N, 19° 01' E). Trees were either partly or totally removed on six meter radius sample plots to simulate two classes of biomass change. Histogram matching was successfully used to calibrate the laser metrics from the two data sets and sample plots were then classified into three change classes. The proportion of vegetation returns from the canopy was the most important explanatory variable which provided an overall accuracy of 88%. The classification accuracy was clearly dependent on the density of the forest.
- ItemChange detection of mountain birch using multi-temporal ALS point clouds. PICTURES(2012-10-23) Nyström, MattiasBilder, provytor
- ItemChange detection of mountain birch using multi-temporal ALS point clouds. FIELDDATA(2012-10-23) Nyström, MattiasField data