Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 563-569, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-563-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Jun 2016
FULLY AUTOMATED GIS-BASED INDIVIDUAL TREE CROWN DELINEATION BASED ON CURVATURE VALUES FROM A LIDAR DERIVED CANOPY HEIGHT MODEL IN A CONIFEROUS PLANTATION
R. J. L. Argamosa1, E. C. Paringit1, K. R. Quinton2, F. A. M. Tandoc1, R. A. G. Faelga1, C. A. G. Ibañez1, M. A. V. Posilero1, and G. P. Zaragosa1 1Phil LiDAR 2 - Project 3: Forest Resources Extraction from LiDAR Surveys. University of the Philippines Diliman, Quezon City, Philippines
2Phil LiDAR 1 – Hazard Mapping of the Philippines using LiDAR. University of the Philippines Diliman, Quezon City, Philippines
Keywords: Crown Delineation, Canopy Height Model (CHM), Local Maxima, Curvature, Slope, Thiessen Polygons Abstract. The generation of high resolution canopy height model (CHM) from LiDAR makes it possible to delineate individual tree crown by means of a fully-automated method using the CHM’s curvature through its slope. The local maxima are obtained by taking the maximum raster value in a 3 m x 3 m cell. These values are assumed as tree tops and therefore considered as individual trees. Based on the assumptions, thiessen polygons were generated to serve as buffers for the canopy extent. The negative profile curvature is then measured from the slope of the CHM. The results show that the aggregated points from a negative profile curvature raster provide the most realistic crown shape. The absence of field data regarding tree crown dimensions require accurate visual assessment after the appended delineated tree crown polygon was superimposed to the hill shaded CHM.
Conference paper (PDF, 1535 KB)


Citation: Argamosa, R. J. L., Paringit, E. C., Quinton, K. R., Tandoc, F. A. M., Faelga, R. A. G., Ibañez, C. A. G., Posilero, M. A. V., and Zaragosa, G. P.: FULLY AUTOMATED GIS-BASED INDIVIDUAL TREE CROWN DELINEATION BASED ON CURVATURE VALUES FROM A LIDAR DERIVED CANOPY HEIGHT MODEL IN A CONIFEROUS PLANTATION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 563-569, https://doi.org/10.5194/isprs-archives-XLI-B8-563-2016, 2016.

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