TY - GEN
T1 - Digital surface model of tree canopy structure from LIDAR data through implicit surface reconstruction
AU - Kato, Akira
AU - Schreuder, Gerald F.
AU - Calhoun, Donna
AU - Schiess, Peter
AU - Stuetzle, Werner
PY - 2007
Y1 - 2007
N2 - Tree canopy structure is an important factor in forest fire, plant physiology, and tree competition. Quantifying the tree canopy structures is difficult due to the irregular shapes and spacing of the trees. Our method for estimating the canopy structure is based on Light Detection and Ranging (LIDAR) data. LIDAR has three-dimensional point distribution which allows us to ascertain the shape of objects on the ground. Our method consists of three steps. First, we partition the LIDAR points into subsets corresponding to individual trees using level set methods. Second, for each tree we select a subset of points near the crown surface. Finally, we use an isosurface method with radial basis functions to reconstruct the crown surface of each tree from the selected points. The resulting surface provides more precise information about crown base height, which was difficult to measure from discrete points in previous studies. Our approach improves the spatial accuracy of tree level parameters and provides 3D images of crown shapes.
AB - Tree canopy structure is an important factor in forest fire, plant physiology, and tree competition. Quantifying the tree canopy structures is difficult due to the irregular shapes and spacing of the trees. Our method for estimating the canopy structure is based on Light Detection and Ranging (LIDAR) data. LIDAR has three-dimensional point distribution which allows us to ascertain the shape of objects on the ground. Our method consists of three steps. First, we partition the LIDAR points into subsets corresponding to individual trees using level set methods. Second, for each tree we select a subset of points near the crown surface. Finally, we use an isosurface method with radial basis functions to reconstruct the crown surface of each tree from the selected points. The resulting surface provides more precise information about crown base height, which was difficult to measure from discrete points in previous studies. Our approach improves the spatial accuracy of tree level parameters and provides 3D images of crown shapes.
UR - http://www.scopus.com/inward/record.url?scp=84868617133&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84868617133
SN - 9781604232240
T3 - American Society for Photogrammetry and Remote Sensing - ASPRS Annual Conference 2007: Identifying Geospatial Solutions
SP - 347
EP - 358
BT - American Society for Photogrammetry and Remote Sensing - ASPRS Annual Conference 2007
T2 - ASPRS Annual Conference 2007: Identifying Geospatial Solutions
Y2 - 7 May 2007 through 11 May 2007
ER -