ACADSTAFF UGM
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| Title | : | High-Resolution Unmanned Aerial Vehicle Data for Karst Features Identification |
| Author | : |
Hendy Fatchurohman, S.Si., M.Sc. (1) Ahmad Cahyadi, S.Si., M.Sc. (2) Dr. Tjahyo Nugroho Adji, S.Si., M.Sc.Tech. (3) |
| Date | : | 1 2022 |
| Keyword | : | UAV, Karst UAV, Karst |
| Abstract | : | Karst landscape is characterized by several features such as dolines, underground rivers, caves, ponors, etc. Identifying karst features is essential to determining the karst resources and management of the area. However, with such small-scale features, high-resolution spatial data are required. Unmanned Aerial Vehicles (UAVs) provide a low-cost, efficient, and feasible tool for karst feature identification. UAVs produce high-resolution aerial images and digital elevation models up to a few centimeters of spatial resolution. This research was conducted in the Pindul Cave complex. A multirotor UAV with a 35 mm camera was deployed at various altitudes (124-134m) above ground level. The flight mission was executed using DroneDeploy software with 65% side overlap and 75% front overlap. Orthomosaic images with 4.5 cm and DEM with 25 cm spatial resolution are generated through the Structure from Motion (SfM) technique using Agisoft Metashape. Several karst features such as sinkholes, emerengence, karst window and ponor. Dense vegetation covers become the main obstacle for identifying karst features. This problem could be minimized by removing the landcover from the DEM to give more apparent topographic effects for more optimum karst feature delineation. The orthomosaic images also play a significant role in karst feature interpretation. |
| Group of Knowledge | : | |
| Level | : | Internasional |
| Status | : |
Published
|