基于高精度低空摄影测量的滑坡灾害监测与预报关键技术研究

Research on Key Technologies of Landslide Disaster Monitoring and Prediction Based on High Precision Low Altitude Photogrammetry

摘要:

采用传统监测与预报技术，受到滑坡区域扩大影响，导致预测精准度较低，针对该问题，提出了基于高精度低空摄影测量的滑坡灾害监测与预报关键技术研究。依据滑坡地质体环境因素，建立滑坡灾害监测与监测与预报指标，根据该指标，计算地层压力变量相关参数。以高分辨率数字遥感设备为传感器，采用高精度低空摄影测量技术来提取数据，以此分析滑坡堆积特征和密实程度。通过上述特性，建立关联函数，确定监测与预报对象以及监测与预报等级，由此完成滑坡灾害监测与预报。由实验结果可知，该技术预测精准度较高，最高可达到98.8%，为保障人们生命安全提供必要技术支持。

Abstract:

Traditional monitoring and forecasting technology is affected by the enlargement of landslide area, which leads to low accuracy of prediction. To solve this problem, the key technology of landslide disaster monitoring and forecasting based on high-precision low-altitude photogrammetry is proposed. According to the environmental factors of landslide geological body, the monitoring and forecasting indexes of landslide hazards are established, and the related parameters of formation pressure variables are calculated according to the indexes. Using high resolution digital remote sensing equipment as sensor, high precision low-altitude photogrammetry technology is used to extract data, in order to analyze landslide accumulation characteristics and compactness. Based on the above characteristics, the correlation function is established to determine the object of monitoring and prediction and the level of monitoring and prediction, so as to complete the monitoring and prediction of landslide disasters. The experimental results show that the prediction accuracy of this technology is high, up to 98.8%. It provides necessary technical support for ensuring people's life safety.