| Summary: | 碩士 === 國立臺北科技大學 === 土木工程系土木與防災碩士班 === 106 === With the development of industries such as electronics and telemetry, UAV applications have gradually expanded from military applications to disaster monitoring, disaster response lines, and even unmanned aerial vehicles can be seen in traffic monitoring and large-scale activities. In recent years, drones have been widely used in Peoples Daily life. In the era of Internet explosion, information about UAV is becoming more and more mature in internet, which has led to the attention of various industries on UAV.
Taiwan is an island located at the border of the plate, constantly affected by earthquakes, with a Steep terrain of landform characteristics and yearly heavy rainfall caused by typhoons, a place that is prone to natural disasters such as hillsides and landslides. In this study, to continuously monitor the local landslide area, the large-scale landslide caused by the 88 wind disaster in baolai village were taken as the example. Using Skywalker X8 drones to carry Sony ILCE-QX1 cameras, Shoot and build multistage Digital Surface Model and orthophoto images, to analyze the changes in the landslide, the differences of Digital Surface Model are calculated by subsequent processing. This paper discusses the behavior and disaster potential of changing the quantity and the pattern at different time and evaluates.
This paper suggested that: (1) The use of unmanned aerial vehicles to take pictures of various periods and build numerical terrain models. Due to the problems of uneven distribution of control points or GPS error during the production of models in each period, small errors on the elevation are caused.; (2) According to the information of the nine periods, the area and range of the area generated were respectively found. In 2015, there was typhoon Soudelor invading Taiwan, which caused mass decline and collapse in the landslide land. The area expanded from 22.85 hectares to 32.46 hectares, and the area was 37.15 hectares until the middle of 2017. After that, the change of area gradually decreases, and the landslide is close to stable, and there is almost no change in the area range.; (3) Based on the analysis of landslide land collapse and descending trend by elevation change, it is found that the overall landslide height changes by plane judgment are relatively obvious before the middle of 2017, and the collapse range and accumulation area can be obtained by the use of color order. It was also found that there were significant changes of the elevation before the middle of 2017, and most of the changes were concentrated on the right side of the landslide.; (4) The former and latter images were compared with each other, and the easily decipherable tree or ground objects were selected to analyze the movement position and direction, so as to indirectly understand the displacement status of the surface. 11 to 18 trees were selected for the front and rear images respectively. After repeated analysis, it was also found that the landslide moved to the lower slope, and the landslide body that moved in the middle was more significant. However, the peripheral displacement of landslide land is low, mostly about 1 meter, indicating that there is no additional collapse body except the collapse block found in this study.
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