FRP.P24.1: DEEP LEARNING-BASED DAMAGE MAPPING OF DAM COLLAPSE EVENT IN SAUDI ARABIA WITH INSAR COHERENCE TIME SERIES
Reem k. Alshammari, Abdulrahman Almoadi, Thamer Aldaajani, King Abdulaziz City for Science and Technology, Saudi Arabia
FRP.P24.2: COMPARISON OF THE PRECURSORY EFFECTS OF 2019 M7.2. KERMADEC ISLANDS (NEW ZEALAND), 2019 M7.1 RIDGECREST (USA) AND 2021 M7.3 MADUO (CHINA) EARTHQUAKES
Angelo De Santis, Istituto Nazionale di Geofisica e Vulcanologia, Italy; Saioa A. Campuzano, Universidad Complutense de Madrid - UCM, Spain; Massimo Calcara, Gianfranco Cianchini, Serena D'Arcangello, Mariagrazia De Caro, Domenico Di Mauro, Cristiano Fidani, Adriano Nardi, Martina Orlando, Loredana Perrone, Alessandro Piscini, Dario Sabbagh, Maurizio Soldani, Istituto Nazionale di Geofisica e Vulcanologia, Italy
FRP.P24.3: A STUDY ON THE SYNTHESIS OF KOREAN EARTHQUAKE EVENTS USING MACHINE LEARNING GENERATION MODEL
Byeonghak Kim, Jae-Kwang Ahn, Eui-Hong Hwang, Sun-Cheon Park, Korea Meteorological Administration, South Korea
FRP.P24.4: FENGYUN-2F/VISSR LAND SURFACE TEMPERATURE ANOMALIES BETWEEN 2014 AND 2022 AND THEIR POTENTIAL CORRELATION WITH EARTHQUAKES
Badr-Eddine Boudriki Semlali, Carlos Molina, Hyuk Park, Adriano Camps, CommSensLab-Polytechnic University of Catalonia (UPC)-Barcelona Tech, Spain
FRP.P24.5: DAMAGE ASSESSMENT AROUND LAWAR MANDI INFRASTRUCTURES ASSOCIATED WITH 2022 AFGHANISTAN EARTHQUAKE (MW 6.0) FROM INSAR OBSERVATIONS
Sandeep Kumar Mondal, Shivam Saxena, Rishikesh Bharti, Indian Institute of Technology Guwahati, India; Ramesh P. Singh, Chapman University, United States
