Integrating Geospatial Techniques and Uas Technology to Update Lidar DTM for Flood Modeling in Las Nieves, Agusan Del Norte, Philippines

Abstract

Abstract. The Digital Terrain Model (DTM) is essential in generating the topographic structure of an area by eliminating its external features. Conventional survey techniques are still employed to obtain accurate geographic data on the earth's surface. However, accurate land surveys are now achievable because of the development of Unmanned Aerial Vehicles (UAVs). This study aims to update the LiDAR DTM for Flood Modeling in Las Nieves, Agusan del Norte, using GNSS and UAS integration. The Static GNSS survey was carried out to collect precise points for the direct georeferencing of the DJI Phantom 4 GNSS-RTK UAV. There is a continuous investigation of the influence of flight parameters in creating DTM. Hence, this study also evaluates the effects of overlap percentage and flight altitude on the quality of the generated DTM. There were 16 flight plans prepared using various combinations of flight parameters. The UAS data collected was processed using the Structure from Motion. The quality of the DTM was assessed based on its accuracy and level of completeness to identify the optimal parameters for generating the data model. Based on the results of the accuracy and completeness of the DTMs, the optimal parameters for generating are 90% and 120 meters. Subsequently, the UAS-based DTM generated using this combination of flight parameters was utilized in updating the existing DTM of Las Nieves to create the flood model of the area. The flood model was generated using the hydrologic and hydraulic modeling of the HEC RAS Mapper.

Effectiveness of UAV‐based DTM and satellite‐based DEMs for local‐level flood modeling in Jamuna floodplain

“…Some research has been conducted to assess the performance of different satellite‐based DEMs in landslide susceptibility, river morphology and watershed analysis, where different DEMs are shown to produce different results (Arash & Yasi, 2022; Chanu & Bakimchandra, 2022; Karabulut & Özdemir, 2019; Pryde et al, 2007; Rabby et al, 2020; Saleem et al, 2019). Also, studies are available on the use of UAV‐based DTM in flood modeling in Indonesia (Derka et al, 2022), South Korea (Lee et al, 2022), China (Li et al, 2021), Italy (Annis et al, 2020), Philippines (Gagula et al, 2023), Ghana (Trepekli et al, 2022), Colombia (Escobar Villanueva et al, 2019), Turkey (Yalcin, 2020), and Poland (Karamuz et al, 2020). However, comparative studies on effectiveness of satellite‐based DEMs and UAV‐based DTM in local‐level flood modeling are scarce (Adesina et al, 2022).…”