FRP1.PT.6
NEAR REAL-TIME WILDFIRE SPREAD PREDICTION USING HIGH-RESOLUTION SATELLITE AND WEATHER DATA WITH ADVANCED DEEP LEARNING MODELS
Yoojin Kang, Rogelio Ruzcko Tobias, Jungho Im, Ulsan National Institute of Science and Technology, Korea (South)
Session:
FRP1.PT: Deep Learning and Remote Sensing for Rapid Disaster Response I Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Friday, 8 August, 09:15 - 10:30
Session Chair:
Nina Merkle, German Aerospace Center
Presentation
Discussion
Resources
No resources available.
Session FRP1.PT
FRP1.PT.1: Deep Transfer learning: new approach for predicting seismic vulnerability, case study of Al Haouz earthquake, Morocco.
Hakima Zair, Zineb El Faraj, Safia Loulad, Dounia Dakir, Samir Zouhri, University Hassan II, Faculty of Sciences Ain Chock, Morocco; Abderrazak Bannari, Ottawa University, International consultant, Canada; Ahmed Selouani, Geofly, Rabat, Morocco, Morocco; Hassan Rhinane, University Hassan II, Faculty of Sciences Ain Chock, Morocco
FRP1.PT.2: ESTIMATING FLOODED AREAS USING PARTICLE FILTER-BASED DATA ASSIMILATION OF SATELLITE IMAGE ANALYSIS AND FLOOD SIMULATION
Jun Ogishima, Takashi Miyamoto, University of Yamanashi, Japan
FRP1.PT.3: EVALUATING PERFORMANCE OF NEURAL NETWORK MODELS FOR LANDSLIDE SUSCEPTIBILITY MAPPING IN UTTARAKHAND, INDIA.
Varsha Bhosale, Omkar Kadam, Vidyalankar Institute of Technology, India
FRP1.PT.4: FLOODED ROAD DETECTION USING DEEP LEARNING AND STREET MAP SEMANTICS FOR HUMANITARIAN AID SUPPORT
Vladyslav Polushko, Damjan Hatic, Ronald Rösch, Fraunhofer Institute for Industrial Mathematics, Germany; Thomas März, University of Applied Sciences Darmstadt, Germany; Markus Rauhut, Fraunhofer Institute for Industrial Mathematics, Germany; Andreas Weinmann, University of Applied Sciences Darmstadt, Germany
FRP1.PT.5: UTILIZING ATTENTION MECHANISMS IN YOLOV11 FOR HIGH-PRECISION LANDSLIDE DETECTION FROM SATELLITE DATA
Naveen Chandra, Wadia Institute of Himalayan Geology, India; Himadri Vaidya, Graphic Era Hill University, Graphic Era Deemed University, India; Suraj Sawant, COEP Technological University Pune, India, India
FRP1.PT.6: NEAR REAL-TIME WILDFIRE SPREAD PREDICTION USING HIGH-RESOLUTION SATELLITE AND WEATHER DATA WITH ADVANCED DEEP LEARNING MODELS
Yoojin Kang, Rogelio Ruzcko Tobias, Jungho Im, Ulsan National Institute of Science and Technology, Korea (South)
FRP1.PT.7: EVALUATION OF SAR-BASED BUILDING DAMAGE RECOGNITION FOR EMERGENCY RESPONSE
Sesa Wiguna, Bruno Adriano, Erick Mas, Shunichi Koshimura, International Research Institute of Disaster Science (IRIDeS), Japan
FRP1.PT.8: FUZZY LOGIC ANG HIGH SPATIAL RESOLUTION IMAGES TO FLOOD VULNERABILITY ZONING IN LA ESPERANZA, CUNDINAMARCA - COLOMBIA
Maria ALVAREZ, Laura DIAZ, Universidad Distrital Francisco José de Caldas, Colombia; Martha VALBUENA, Procalculo, Colombia; Javier MEDINA, Universidad Distrital Francisco José de Caldas, Colombia
FRP1.PT.9: TO WHAT EXTENT CAN DEEP LEARNING PERFORM LANDSLIDE IDENTIFICATION AS ACCURATELY AS A HUMAN EXPERT?
Zi-Ling Zeng, Shih-Yuan Lin, National Chengchi University, Taiwan
FRP1.PT.11: ZERO-SHOT TYPHOON DAMAGE DETECTION USING LARGE VISION-LANGUAGE MODELS
MItsuyoshi Kunugihara, Mitsui Sumitomo Insurance Company, Limited, Japan; Yuichi Sorimachi, MS&AD InterRisk Research & Consulting, Inc., Japan; Haruto Konishi, Takashi Miyamoto, University of Yamanashi, Japan
Resources
No resources available.