Laser Scanning Applications in Landslide Assessment / / edited by Biswajeet Pradhan

• Record Nr.: UNINA9910254001703321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• ISBN: 3-319-55342-9
• Edizione: [1st ed. 2017.]
• Descrizione fisica: 1 online resource (XVIII, 359 p. 197 illus., 186 illus. in color.)
• Disciplina: 333.7
• Soggetti: Environmental management; Environmental sciences; Physical geography; Remote sensing; Geotechnical engineering; Geophysics; Environmental Management; Environmental Physics; Earth System Sciences; Remote Sensing/Photogrammetry; Geotechnical Engineering & Applied Earth Sciences; Geophysics and Environmental Physics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references at the end of each chapters.
• Nota di contenuto: Introduction: use of LiDAR in landslide studies -- A supervised object-based detection of landslides and man-made slopes -- Landslide Characteristics Detection using supervised classification approaches -- Identification of Debris Flow Sources in Tropical Rainforest -- Landslide susceptibility modelling: optimization and factor effect analysis -- Spatial resolution effects of digital elevation models and their products on landslide susceptibility assessment -- Spatial prediction of landslide-prone areas through k-nearest neighbor algorithm and logistic regression model -- LIDAR derived DEM to produce landslide susceptibility with integration of Logistic regression -- Multi-scenario ; landslide hazard assessment using airborne laser scanning data -- Landslide vulnerability and risk assessment for multi-hazard scenarios -- Debris flow susceptibility assessment -- LiDAR Techniques in Rockall Hazard Assessment -- Rockfall Hazard Assessment in Tropical Region.
• Sommario/riassunto: This book is related to various applications of laser scanning in landslide assessment. Landslide detection approaches, susceptibility, hazard, vulnerability assessment and various modeling techniques are presented. Optimization of landslide conditioning parameters and use of heuristic, statistical, data mining approaches, their advantages and their relationship with landslide risk assessment are discussed in detail. The book contains scanning data in tropical forests; its indicators, assessment, modeling and implementation. Additionally, debris flow modeling and analysis including source of debris flow identification and rockfall hazard assessment are also presented.