期刊
REMOTE SENSING
卷 8, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/rs8030199
关键词
photogrammetry; digital elevation model (DEM) differencing; unmanned aerial vehicles (UAV); Airborne LiDAR (ALS); swath profile
类别
资金
- Project of Investigation and Analysis for Geologically Sensitive Areas under the Program of National Land Preservation from the Central Geological Survey, MOEA, Taiwan
- Ministry of Science and Technology, Taiwan [MOST103-2116-M-001-002, MOST104-2116-M-001-022, MOST103-2116-M-002-024, MOST104-2116-M-002-013]
- Institute of Earth Sciences, Academia Sinica
In this study, six different periods of digital terrain model (DTM) data obtained from various flight vehicles by using the techniques of aerial photogrammetry, airborne LiDAR (ALS), and unmanned aerial vehicles (UAV) were adopted to discuss the errors and applications of these techniques. Error estimation provides critical information for DTM data users. This study conducted error estimation from the perspective of general users for mountain/forest areas with poor traffic accessibility using limited information, including error reports obtained from the data generation process and comparison errors of terrain elevations. Our results suggested that the precision of the DTM data generated in this work using different aircrafts and generation techniques is suitable for landslide analysis. Especially in mountainous and densely vegetated areas, data generated by ALS can be used as a benchmark to solve the problem of insufficient control points. Based on DEM differencing of multiple periods, this study suggests that sediment delivery rate decreased each year and was affected by heavy rainfall during each period for the Meiyuan Shan landslide area. Multi-period aerial photogrammetry and ALS can be effectively applied after the landslide disaster for monitoring the terrain changes of the downstream river channel and their potential impacts.
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