Cyclone PAM Post Inundation Assessment Survey using UAV Herve Damlamian, Cyprien Bosserelle, Amrit Raj, Zulfikar Begg, Jens Kruger. [email protected] Tropical Cyclone PAM Preliminary Wave model of Cyclone Pam Tuvalu: • AU$ ~14M • 25% of TV 2013 GDP • 41% population affected • 90% damage on crops in 3 Islands, 30% damage on crops in 4 Islands Vanuatu: • 16 death • 65,000 people displaced • >50% population affected (166,000) • 17,000 buildings affected • AU$ ~619M – Damage and Loss • 64.1% of GDP • Livelihood of more than 80% of rural population affected. Other countries affected: New Caledonia, Solomon Island, Kiribati, New-Zealand. Post Disaster Assessment Survey • Rapid Damage Assessment – Collect high resolution images to assess building damage. • Extreme Wave Inundation and Impact Assessment – Collect Inundation data from an extreme wave event. – Assess use of UAV for Post disaster inundation impact assessment. Post PAM Inundation Assessment 3D Shoreline Mapping Methodology • Generate high resolution Topography of coastal areas: – Setting up temporary tide gauge. – Setting up Bench Marks in Targeted areas. – Using RTK GPS System to Establish GCPs. – UAV mapping with 90% overlap • Compare with LIDAR data (2012) Preliminary Wave model of Cyclone Pam, Efate Point Cloud: Takara Village, NE Efate Inundation Extent and Run-up Debris line 240m Inundation extent 7m run-up (Above TGZ) Debris line 3D Shoreline Change • ORTHOPHOTO Prior Cyclone • DTM PAM LIDAR DATA (2012) After Cyclone PAM UAV DATA (2015) Example: Map of Change Takara Village, NE Efate Erosion Accretion UAV limitation in dense vegetation Erosion Onesua Accretion Epau Paonagisu Epike Common Shoreline Pattern 2015 Beach profile 2012 Beach profile Emerged Holocene Reef Terrace Erosion Accretion 2015 Beach profile 2012 Beach profile Erosion Accretion Spurs and Grooves AfterBefore Cyclone Cyclone 2015 Beach profile 2012 Beach profile Impact Exacerbated by Human Activity ErosionPriorAfter Cyclone Cyclone Erosion (Red)Accretion / AccretionPAMPAM (Blue) Cross UAVLIDAR DATA DATA (2015) Section (2012) Conclusion: • This study highlights the benefit of using UAV for post inundation survey. – One dataset: Inundation extent, Run-up, coastal changes (m 3) – Identified Shoreline Change Pattern vs Geomorphology: • River (present or Ancient) • Salient • Uplifted Holocene reef terrace • Uniform sandy beach - Improve our understanding on extreme wave inundation and coastal impact on fringing reef. - Improve future inundation risk assessment study, inundation and impact forecast work. • Combined with Tide Gauge and RTK system, UAV + photogrammetry technology has proven to be a credible alternative to LIDAR for Topography data collection. However there are limitations… (DSM to DTM conversion, processing time,…). Vinaka and special thanks to Ministry of Land, Vanuatu.