Title
Extraction of Digital Terrain Model (DTM) over vegetated area in tropical rainforest using LiDAR
Abstract
This paper presents investigations on the combination effect of landcover types, ground filtering approach and interpolation methods on Digital Terrain Model (DTM) generated from airborne LiDAR over vegetated area in tropical environment. The study area is separated into three landcover types i.e. oil palm, mangrove and mixed forest. The LiDAR data is filtered based on: 1) Adaptive TIN (ATIN), 2) Progressive morphology (Morph), and 3) Elevation Threshold with Expand Window (ETEW). The DTMs are generated by interpolating the ground points using Ordinary Kriging and Inverse Distance Weighted (IDW) methods. The quality of DTMs is evaluated based on the combination of quantitative and qualitative approaches. The results show that combination of ATIN and Ordinary Kriging has produced DTMs with higher quality compared to other combination of filtering and interpolation technique. The smallest value of RMSE obtained for terrain covered by oil palm (0.21m) followed by mixed forest (0.25m) and mangrove (0.32m).
Year
DOI
Venue
2013
10.1109/IGARSS.2013.6723556
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
digital elevation models,interpolation,land cover,optical radar,remote sensing by laser beam,terrain mapping,Adaptive TIN,DTM extraction,Digital Terrain Model extraction,Elevation Threshold with Expand Window,Inverse Distance Weighted method,LiDAR,Ordinary Kriging,Progressive morphology,ground filtering approach,interpolation method,landcover type,mangrove,mixed forest,oil palm,tropical rainforest,vegetated area,Digital Terrain Model,airborne LiDAR,tropical environment
Kriging,Tropical rainforest,Computer science,Terrain,Interpolation,Remote sensing,Digital elevation model,Lidar,Elevation,Land cover
Conference
ISSN
ISBN
Citations 
2153-6996
978-1-4799-1114-1
0
PageRank 
References 
Authors
0.34
2
8