000			01416 a2200229 4500
020			_a9783030104948
040			_cIIT Kanpur
041			_aeng
082			_a551.307 _bM312g
100			_aMandal, Sujit
245			_aGeoinformatics and modelling of landslide susceptibility and risk: _bAn RS & GIS-based model building approach in the Eastern Himalaya _cSujit Mandal and Subrata Mondal
260			_bSpringer _c2019 _aSwitzerland
300			_axiii, 223p
440			_aEnvironmental science and engineering: environmental science
490			_a/ edited by Ulrich Forstner
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.
650			_aLandslide hazard analysis
650			_aGeomorphology.
650			_aNatural Hazards
700			_aMondal, Subrata
942			_cBK
999			_c560808 _d560808