ËÑË÷½á¹û: 1-5 ¹²²éµ½¡°ÉãÓ°²âÁ¿ÓëÒ£¸Ð¼¼Êõ Debris Flow¡±Ïà¹Ø¼Ç¼5Ìõ . ²éѯʱ¼ä(0.093 Ãë)
4D-SFM PHOTOGRAMMETRY FOR MONITORING SEDIMENT DYNAMICS IN A DEBRIS-FLOW CATCHMENT: SOFTWARE TESTING AND RESULTS COMPARISON
4D-SfM Photogrammetry Sediment dynamics monitoring Software comparison Debris flow hazard
2018/6/4
In recent years, the combination of Structure-from-Motion (SfM) algorithms and UAV-based aerial images has revolutionised 3D topographic surveys for natural environment monitoring, offering low-cost, ...
ANALYSIS OF DEBRIS FLOW BEHAVIOR USING AIRBORNE LIDAR AND IMAGE DATA
Debris Flow LiDAR Digital Surface Model Geomorphologic Change
2016/11/30
The frequency of debris flow events caused by severe rainstorms has increased in Korea. LiDAR provides high-resolution topographical data that can represent the land surface more effectively than othe...
HIGH-RESOLUTION DEBRIS FLOW VOLUME MAPPING WITH UNMANNED AERIAL SYSTEMS (UAS) AND PHOTOGRAMMETRIC TECHNIQUES
Unmanned Aerial Vehicle Structure-from-motion Natural Hazards Volumetric Sediment Budget Digital Terrain Models Event Documentation
2016/7/5
Debris flows cause an average € 30 million damages and 1-2 fatalities every year in Austria. Detailed documentation of their extent and magnitude is essential for understanding, preventing and mitigat...
MULTI-TEMPORAL DEM MATCHING METHOD WITHOUT CONTROL POINTS IN DEBRIS-FLOW AREA
Photogrammetry Geomorphology Multitemporal Change Detection Matching Accuracy Precision
2015/12/29
Detecting the volume change of loose deposit of rock debris accumulated and debris discharged is one of the methods to study debris flow. The volume can be resulted by overlapping multi-temporal DEM. ...
An Detectability of Debris Flow by Using PALSAR and PiSAR (L-band) Data
L-band SAR Polarimetry PALSAR PiSAR Disaster
2009/3/19
Debris flow sites at Kumamoto and Nagano, where the flows were induced by heavy rain, have been examined by using L-band SAR data. Several L-band SAR data taken with air-borne PiSAR (polarimetry mode)...
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