Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan
暂无分享,去创建一个
Muhammad Shafique | Chiara Calligaris | Muhammad Shafique | C. Calligaris | H. Khan | M. A. Khan | M. A. Bacha | Safeer Ullah Shah | Hawas Khan | Muhammad Asif Khan | Mian A. Bacha | S. U. Shah | Mian A. Bacha
[1] A. Yalçın. GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations , 2008 .
[2] J. Weissel,et al. Landslides triggered by the 1999 Mw7.6 Chi Chi earthquake in Taiwan and their relationship to topography , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).
[3] S. Reis,et al. A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics , 2011 .
[4] M. Coward,et al. Indian Plate motion and shape: constraints on the geometry of the Himalayan orogen , 1991 .
[5] Pascal Willis,et al. Plate Motion of India and Interseismic Strain in the Nepal Himalaya from GPS and DORIS Measurements , 2006 .
[6] P. Misch. Metasomatic granitization of batholithic dimensions , 1949 .
[7] Lewis A. Owen,et al. GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region , 2008 .
[8] K. Hewitt. Catastrophic landslides and their effects on the Upper Indus streams, Karakoram Himalaya, northern Pakistan , 1998 .
[9] M. R. Mansouri Daneshvar. Landslide susceptibility zonation using analytical hierarchy process and GIS for the Bojnurd region, northeast of Iran , 2014, Landslides.
[10] Ramkrishna Maiti,et al. Integrating the Analytical Hierarchy Process (AHP) and the frequency ratio (FR) model in landslide susceptibility mapping of Shiv-khola watershed, Darjeeling Himalaya , 2013, International Journal of Disaster Risk Science.
[11] H. A. Nefeslioglu,et al. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps , 2008 .
[12] G. DE P. COTTER,et al. Geology of India , 1940, Nature.
[13] D. M. Duc,et al. Landslide susceptibility mapping by combining the analytical hierarchy process and weighted linear combination methods: a case study in the upper Lo River catchment (Vietnam) , 2016, Landslides.
[14] Wei Chen,et al. Application of frequency ratio, weights of evidence and evidential belief function models in landslide susceptibility mapping , 2016 .
[15] Lewis A. Owen,et al. Geomorphological hazards along the Karakoram Highway: Khunjerab Pass to the Gilgit River, northernmost Pakistan , 2001 .
[16] Wei Chen,et al. A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping , 2016, Arabian Journal of Geosciences.
[17] Majid Shadman Roodposhti,et al. Landslide susceptibility mapping using geographically-weighted principal component analysis , 2014 .
[18] A. Akgun,et al. Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models , 2008 .
[19] Mohammad Sayab,et al. Temporal evolution of surface rupture deduced from coseismic multi-mode secondary fractures: Insights from the October 8, 2005 (Mw 7.6) Kashmir earthquake, NW Himalaya , 2010 .
[20] Landslide susceptibility mapping by using fuzzy logic: a case study of Cham-gardalan catchment, Ilam, Iran , 2016, Arabian Journal of Geosciences.
[21] R. D. Lawrence,et al. The northwestern Nanga Parbat–Haramosh Massif; Evidence for crustal uplift at the northwestern corner of the Indian Craton , 1989 .
[22] C. Westen,et al. Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake , 2010 .
[23] H. Shahabi,et al. Landslide susceptibility mapping at central Zab basin, Iran: a comparison between analytical hierarchy process, frequency ratio and logistic regression models , 2014 .
[24] Isik Yilmaz,et al. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) , 2009, Comput. Geosci..
[25] M. Arora,et al. Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model , 2010 .
[26] Qiqing Wang,et al. Landslide susceptibility assessment using frequency ratio, statistical index and certainty factor models for the Gangu County, China , 2016, Arabian Journal of Geosciences.
[27] H. Ran,et al. Evaluation of factors controlling large earthquake-induced landslides by the Wenchuan earthquake , 2012 .
[28] B. Windley,et al. RbSr dating of the Kohistan arc-batholith in the Trans-Himalaya of north Pakistan, and tectonic implications , 1985 .
[29] Selçuk Reis,et al. Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio and analytical hierarchy methods in Rize province (NE Turkey) , 2012, Environmental Earth Sciences.
[30] P. Kayastha,et al. Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal , 2013, Comput. Geosci..
[31] M. García-Rodríguez,et al. Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression , 2008 .
[32] Minoru Yamanaka,et al. Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya of Nepal based on weights-of-evidence , 2008 .
[33] P. Burrough,et al. Principles of geographical information systems , 1998 .
[34] Hiroshi P. Sato,et al. Landslide inventories: The essential part of seismic landslide hazard analyses , 2011 .
[35] Saro Lee,et al. Probabilistic landslide susceptibility and factor effect analysis , 2005 .
[36] A. Lin,et al. Co‐seismic surface ruptures produced by the 2005 Pakistan M w7.6 earthquake in the Muzaffarabad area, revealed by QuickBird imagery data , 2008 .
[37] I. Ilia,et al. Applying weight of evidence method and sensitivity analysis to produce a landslide susceptibility map , 2016, Landslides.
[38] A. Erener,et al. A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM) , 2016 .
[39] B. Pradhan,et al. Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya , 2012, Natural Hazards.
[40] Muhammad Shafique,et al. A review of the 2005 Kashmir earthquake-induced landslides; from a remote sensing prospective , 2016 .
[41] Biswajeet Pradhan,et al. Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree , 2016, Landslides.
[42] Qiqing Wang,et al. A GIS-based comparative evaluation of analytical hierarchy process and frequency ratio models for landslide susceptibility mapping , 2017 .
[43] C. Pudsey,et al. Collision zone between the Kohistan arc and the Asian plate in NW Pakistan , 1985, Transactions of the Royal Society of Edinburgh: Earth Sciences.
[44] Pascal Peduzzi,et al. Landslides and vegetation cover in the 2005 North Pakistan earthquake: a GIS and statistical quantitative approach , 2010 .
[45] D. Prior,et al. Tectonic controls on the uplift of the Nanga Parbat Massif, Pakistan Himalayas , 1988, Nature.
[46] Mustafa Neamah Jebur,et al. Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia , 2014 .
[47] M. R. Mansouri Daneshvar,et al. Landslide susceptibility zonation using analytical hierarchy process and GIS for the Bojnurd region , 2014 .
[48] J. Rohn,et al. Spatial distribution analysis of mass movements triggered by the 2005 Kashmir earthquake in the Northeast Himalayas of Pakistan , 2014 .
[49] Dieu Tien Bui,et al. Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions , 2016, Environmental Earth Sciences.