FR3.M1.3

LIRR: A MULTIMODEL MACHINE LEARNING APPROACH TO DETECT HIGH-RESOLUTION LANDSLIDE INDUCED ROAD-RISK AND ASSOCIATED RISK BUDGETING FOR UTTRAKHAND, INDIA

Subhajit Bandopadhyay, Sourav Dey, Rashtriya Raksha University, India
Session:
FR3.M1: Earth Observation data and Smart Early Warning based Decision Support Systems (DSS) for Disaster Management and Risk Reduction I Oral
Track:
Community-Contributed Sessions
Location:
Mezzanine: Room M1
Presentation Time:
Friday, 8 August, 13:45 - 14:00
Session Chair:
Salvatore Stramondo, Istituto Nazionale di Geofisica e Vulcanologia
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Session FR3.M1
FR3.M1.1: NEW SERVICES BASED ON REMOTE SENSING FOR IMPROVING EVENT PREDICTION AND RESILIENCE ENHANCEMENT OF CRITICAL INFRASTRUCTURES
Salvatore Stramondo, Istituto Nazionale di Geofisica e Vulcanologia, Italy; Maurizio Pollino, ENEA, Italy; Marco Cardelli, SPEE, Italy; Marco Di Tullio, Raffaele Scarano, GMATICS, Italy; Vittorio Rosato, University Campus Biomedico and Ylichron Srl, Italy; Fabio Pistella, EISAC.it, Italy
FR3.M1.2: A NOVEL BH3DNet METHOD FOR IDENTIFYING PINE WILT DISEASE IN MASSON PINE FUSING UAS HYPERSPECTRAL IMAGERY AND LIDAR DATA
Geng Wang, Nuermaimaitijiang Aierken, Beijing Forestry University, China; Guoqi Chai, Chinese Academy of Forestry, China; Xuanhao Yan, Beijing Forestry University, China; Long Chen, Chinese Academy of Forestry, China; Xiang Jia, Jiahao Wang, Wenyuan Huang, Xiaoli Zhang, Beijing Forestry University, China
FR3.M1.3: LIRR: A MULTIMODEL MACHINE LEARNING APPROACH TO DETECT HIGH-RESOLUTION LANDSLIDE INDUCED ROAD-RISK AND ASSOCIATED RISK BUDGETING FOR UTTRAKHAND, INDIA
Subhajit Bandopadhyay, Sourav Dey, Rashtriya Raksha University, India
FR3.M1.4: Remote Sensing and GIS Applications for Assessing Flood Vulnerability of Cultural Heritage Sites in Hue City, Central Vietnam
Marsia Sanità, Marche Polytechnic University, Italy; Houng Do Thi Viet, Hue University, Viet Nam; Roberto Pierdicca, Eva Savina Malinverni, Francesco Di Stefano, Marche Polytechnic University, Italy
Resources
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