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000891289 020__ $$a9783030104955$$q(electronic book)
000891289 020__ $$a3030104958$$q(electronic book)
000891289 035__ $$aSP(OCoLC)on1103221240
000891289 035__ $$aSP(OCoLC)1103221240
000891289 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dN$T$$dEBLCP$$dLQU$$dYDXIT$$dUKMGB$$dGW5XE$$dOCLCF
000891289 049__ $$aISEA
000891289 050_4 $$aQE599.2$$b.M36 2019
000891289 08204 $$a551.3/07$$223
000891289 1001_ $$aMandal, Sujit,$$eauthor.
000891289 24510 $$aGeoinformatics and modelling of landslide susceptibility and risk :$$ban RS & GIS-based model building approach in the Eastern Himalaya /$$cSujit Mandal, Subrata Mondal.
000891289 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019]
000891289 300__ $$a1 online resource :$$billustrations.
000891289 336__ $$atext$$btxt$$2rdacontent
000891289 337__ $$acomputer$$bc$$2rdamedia
000891289 338__ $$aonline resource$$bcr$$2rdacarrier
000891289 4901_ $$aEnvironmental science and engineering
000891289 504__ $$aIncludes bibliographical references.
000891289 5050_ $$aLandslides: An Overview -- Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Susceptibility -- Slope instability analysis: A Sub-Watershed Scale Study -- Geomorphic Diversity and Landslide Susceptibility: A Multi-Criteria Evaluation Approach -- Landslide Susceptibility Prediction and Assessment using Bivariate Models -- Multivariate Models and Prediction and Assessment of Landslide Susceptibility -- Application of Probabilistic Approach in Landslide Susceptibility Analysis -- Machine Learning Models in Landslides Susceptibility Assessment -- Factor and Factors Cluster Analysis and Landslide Susceptibility Assessment -- Micro level Landslide Susceptibility and Risk Assessment -- Comparison between Susceptibility Models: A critical Review and Evaluation.
000891289 506__ $$aAccess limited to authorized users.
000891289 520__ $$aThis book discusses various statistical models and their implications for developing landslide susceptibility and risk zonation maps. It also presents a range of statistical techniques, i.e. bivariate and multivariate statistical models and machine learning models, as well as multi-criteria evaluation, pseudo-quantitative and probabilistic approaches. As such, it provides methods and techniques for RS & GIS-based models in spatial distribution for all those engaged in the preparation and development of projects, research, training courses and postgraduate studies. Further, the book offers a valuable resource for students using RS & GIS techniques in their studies.
000891289 588__ $$aDescription based on online resource; title from digital title page (viewed on June 21, 2019).
000891289 650_0 $$aLandslide hazard analysis.
000891289 7001_ $$aMondal, Subrata,$$eauthor.
000891289 77608 $$iPrint version:$$aMandal, Sujit$$tGeoinformatics and Modelling of Landslide Susceptibility and Risk : An RS and GIS-Based Model Building Approach in the Eastern Himalaya$$dCham : Springer,c2019$$z9783030104948
000891289 830_0 $$aEnvironmental science and engineering (Springer (Firm))
000891289 852__ $$bebk
000891289 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-10495-5$$zOnline Access$$91397441.1
000891289 909CO $$ooai:library.usi.edu:891289$$pGLOBAL_SET
000891289 980__ $$aEBOOK
000891289 980__ $$aBIB
000891289 982__ $$aEbook
000891289 983__ $$aOnline
000891289 994__ $$a92$$bISE