无人机图像在Panti地区Kaliputih河二维模型洪水制图中的性能

I. Derka, E. Hidayah, G. Halik
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引用次数: 1

摘要

2006年1月,潘提街道的山洪暴发是一场全国性灾难,造成建筑基础设施受损和人员死亡。根据该事件,有必要通过使用2D水力模型提供洪水淹没分布图来缓解洪水,以提供有关研究区域洪水淹没程度的信息。由于用于二维建模的DEM数据有限,有必要使用无人机图像来提供具有良好和更高分辨率的DSM。本研究旨在通过无人机处理作为输入,使用配备RAS Mapper的HEC-RAS评估2D洪水建模结果的性能。随着精度的提高,研究区共有21个GCP,水平方向的RMSE值为0.3853m,垂直方向的RMSE=0.1836m。从水平精度为0.58m的CE90精度测试结果和垂直精度为0.30m的LE90精度测试成果可以得出,地图精度测试符合1:2500比例尺。地形图输入HEC-RAS;所选网格为5x5m和2x2m。建模结果可以从最小-最大深度显示每个GCP的淹没深度。模型校准显示均方根误差值为0.183,而洪水深度验证显示均方根值为0.13。换句话说,建模可以代表研究区域的洪水淹没分布,并为社区在来年发生洪水时提高警惕提供好处。关键词:无人机;GCP;DSM;HEC-RA;洪水测绘版权所有(c)2022 Geosfera Indonesia和詹伯大学地理教育系本作品根据知识共享署名共享类似4.0的国际许可证获得许可
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of UAV Image for Flood Mapping with 2 Dimensional Model in Kaliputih River, Panti District
In January 2006, the flash flood in Panti Sub-district was a national disaster, causing damage to building infrastructure and fatalities. From this incident, it is necessary to have flood mitigation by providing a map of the distribution of flood inundation using a 2D hydraulic model to provide information regarding the extent of flood inundation in the study area. Due to the limited DEM data for 2D modeling, it is necessary to use UAV images to provide a DSM with good and higher resolution. This study aims to assess the performance of 2D flood modeling results using HEC-RAS equipped with RAS Mapper through UAV processing as input. There are 21 GCP in the study area as an increase in accuracy, the RMSE value in the horizontal direction is 0.3853m, and the vertical direction is 0.1836m. From the CE90 accuracy test results for a horizontal accuracy of 0.58m and LE90 for a vertical accuracy of 0.30m, it can be concluded that the map accuracy test meets the 1:2500 scale. Terrain maps are input to HEC-RAS; selected meshes are 5x5m and 2x2m. The modeling results can show the inundation depth in each GCP from the min-max depth. The model calibration shows an RMSE value of 0.183, while the flood depth validation shows an RMSE value of 0.13. In other words, modeling can represent the distribution of flood inundation in the study area and provide benefits for the community to be more alert in the event of a flood in the coming year. Keywords : UAV; GCP; DSM; HEC-RA; Flood mapping   Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
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