2nd International Conference on Marine Science: Better Insight for the Healthy Ocean | |
Mapping of mangrove coverage and canopy height using LiDAR data at Sangkulirang District, East Kutai, East Borneo | |
Mahadi, A.T.^1 ; Siregar, V.P.^1 ; Nursugi^2 | |
Marine Science and Technology Department, Faculty of Fisheries and Marine Science, Bogor Agricultural University, Indonesia^1 | |
Marine and Coastal Environment Mapping Research Centre, Geospatial Information Agency, Indonesia^2 | |
关键词: Airborne lidar data; Canopy Height Models; Digital surface model (DSM); Digital terrain model; Light detection and ranging; Mangrove canopy; Remote sensing technology; Spatial planning; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/176/1/012026/pdf DOI : 10.1088/1755-1315/176/1/012026 |
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来源: IOP | |
【 摘 要 】
Light Detection and Ranging (LiDAR) is remote sensing technology using transmitted properties of scattered light to detect the intended target. This technology potentially used for spatial planning and management, including mangrove monitoring. The purpose of this research was to map the mangrove coverage and canopy height using airborne LiDAR data at mangrove areas of Sangkulirang district, East Kutai, East Borneo. The corrected point cloud LiDAR data inputed into 10 blocks boundary. This data is classified into 7 classes (ground, mangroves, non mangroves, water, vehicle, low point and isolated point). Ground class used as the data source for digital terrain model (DTM) while mangrove class used as the data source for digital surface model (DSM). The substraction from overlaying DTM - DSM will produce canopy height model (CHM) that represent the height of mangroves canopy from land. The result of this research showed that mangrove distribution had an area of 64.07 km2. The height of mangrove canopy was dominated by 10-30 meters height while the maximum height reached 54.04 meters.
【 预 览 】
Files | Size | Format | View |
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Mapping of mangrove coverage and canopy height using LiDAR data at Sangkulirang District, East Kutai, East Borneo | 432KB | download |