Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 157-161, 2011
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-5-W12/157/2011/
doi:10.5194/isprsarchives-XXXVIII-5-W12-157-2011
© Author(s) 2011. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
03 Sep 2012
THE FUSION OF INDIVIDUAL TREE DETECTION AND VISUAL INTERPRETATION IN ASSESSMENT OF FOREST VARIABLES FROM LASER POINT CLOUDS
V. Kankare1, M. Vastaranta1, M. Holopainen1, X. Yu2, J. Hyyppä2, and H. Hyyppä3 1University of Helsinki, Department of Forest Sciences, Finland
2Finnish Geodetic Institute, Finland
3Aalto University, Research Institute of Modelling and Measuring for the Built Environment, Finland
Keywords: Forest inventory, plot-wise measurements, individual tree detection Abstract. In this study we searched the obtainable accuracy of forest inventory based on the individual tree detection (ITD) by using fusion of automatic ITD (ITDauto) and visual interpretation of laser point clouds. Current ITD algorithms, mostly based on segmentation of canopy height models (CHMs), are not able to utilize the whole information included in three-dimensional point clouds. We hypothesized that visual interpretation of the point cloud could provide so-called "best case" tree detection that could be achievable automatically. We refer to this method consisting of ITDauto and visual interpretation as ITDvisual. We assessed the plot level accuracies of the ITDauto and ITDvisual in boreal managed forest conditions using 322 plots. Based on the results the accuracy of ITD can be improved with visual interpretation. Omission trees are mainly missing from both ITD-methods. ITDvisual produced more accurate estimates for all forest variables compared to ITDauto, e.g. RMSE% in volume decreased from 33.3% to 27.8% and bias% in volume from 4.1% to 2.3%. Area-based approach (ABA) is becoming more general for operational forest inventories with sparser laser data. ITDvisual would be justified if it could replace expensive field work in plot-wise measurements needed for ABA. Further research is needed in the use of ITD results as a reference for ABA.
Conference paper (PDF, 360 KB)


Citation: Kankare, V., Vastaranta, M., Holopainen, M., Yu, X., Hyyppä, J., and Hyyppä, H.: THE FUSION OF INDIVIDUAL TREE DETECTION AND VISUAL INTERPRETATION IN ASSESSMENT OF FOREST VARIABLES FROM LASER POINT CLOUDS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 157-161, doi:10.5194/isprsarchives-XXXVIII-5-W12-157-2011, 2011.

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