{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T11:31:29Z","timestamp":1774265489853,"version":"3.50.1"},"reference-count":87,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T00:00:00Z","timestamp":1611792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["FKZ 03G0878A"],"award-info":[{"award-number":["FKZ 03G0878A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["FKZ 03G0878B"],"award-info":[{"award-number":["FKZ 03G0878B"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The identification of areas that are prone to landslides is essential in mitigating associated risks. This is usually achieved using landslide susceptibility models, which estimate landslide likelihood given local terrain conditions and the location of known past events. Detailed databases covering different conditioning factors are paramount in producing reliable susceptibility maps. However, thematic data from developing countries are scarce. As a result, susceptibility models often rely on morphometric parameters that are derived from widely-available digital elevation models. In most cases, simple parameters, such as slope, aspect, and curvature, computed using a moving window of 3 \u00d7 3 pixels, are used. Recently, the use of window-based morphometric indices as an additional input has increased. These rely on a user-defined observation window size. In this contribution, we examine the influence of observation window size when using window-based morphometric indices as core predictive variables for landslide susceptibility assessment. We computed a variety of models that include morphometric indices that are calculated with different window sizes, and compared the predictive capabilities and reliability of the resulting predictions. All of the models are based on the random forest algorithm. The results improved significantly when each window-based morphometric index was calculated with a different and meaningful observation window (AUC-ROC of 0.89 and AUC-PR of 0.87). The sensitivity analysis highlights both the highly-informative observation windows and the impact of their selection on the model performance. We also stress the importance of evaluating landslide susceptibility results while using different adapted metrics for predictive performance and reliability.<\/jats:p>","DOI":"10.3390\/rs13030451","type":"journal-article","created":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T05:23:05Z","timestamp":1611811385000},"page":"451","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Window-Based Morphometric Indices as Predictive Variables for Landslide Susceptibility Models"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7666-7413","authenticated-orcid":false,"given":"Natalie","family":"Barbosa","sequence":"first","affiliation":[{"name":"Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Chemnitzer Str. 40, 09599 Freiberg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5916-155X","authenticated-orcid":false,"given":"Louis","family":"Andreani","sequence":"additional","affiliation":[{"name":"Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Chemnitzer Str. 40, 09599 Freiberg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4383-473X","authenticated-orcid":false,"given":"Richard","family":"Gloaguen","sequence":"additional","affiliation":[{"name":"Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Chemnitzer Str. 40, 09599 Freiberg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9960-2084","authenticated-orcid":false,"given":"Lothar","family":"Ratschbacher","sequence":"additional","affiliation":[{"name":"Geologie, TU Bergakademie Freiberg, 09599 Freiberg, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.geomorph.2005.06.002","article-title":"Probabilistic landslide hazard assessment at the basin scale","volume":"72","author":"Guzzetti","year":"2005","journal-title":"Geomorphology"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.earscirev.2018.03.001","article-title":"A review of statistically-based landslide susceptibility models","volume":"180","author":"Reichenbach","year":"2018","journal-title":"Earth Sci. Rev."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1023\/B:NHAZ.0000007282.62071.75","article-title":"Is prediction of future landslides possible with a GIS?","volume":"30","author":"Fabbri","year":"2003","journal-title":"Nat. Hazards"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2215","DOI":"10.5194\/nhess-14-2215-2014","article-title":"Non-susceptible landslide areas in Italy and in the Mediterranean region","volume":"14","author":"Marchesini","year":"2014","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_5","unstructured":"Burrough, P.A., McDonnell, R., McDonnell, R.A., and Lloyd, C.D. (2015). Principles of Geographical Information Systems, Oxford University Press."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/j.cageo.2010.06.009","article-title":"TecDEM: A MATLAB based toolbox for tectonic geomorphology, Part 2: Surface dynamics and basin analysis","volume":"37","author":"Shahzad","year":"2011","journal-title":"Comput. Geosci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"7971","DOI":"10.3390\/rs6097971","article-title":"DEM-based analysis of interactions between tectonics and landscapes in the Ore Mountains and Eger Rift (East Germany and NW Czech Republic)","volume":"6","author":"Andreani","year":"2014","journal-title":"Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.geomorph.2014.09.019","article-title":"Geomorpho-tectonic evolution of the Jamaican restraining bend","volume":"228","author":"Andreani","year":"2015","journal-title":"Geomorphology"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"71","DOI":"10.5194\/esurf-4-71-2016","article-title":"Geomorphic analysis of transient landscapes in the Sierra Madre de Chiapas and Maya Mountains (northern Central America): Implications for the North American\u2013Caribbean\u2013Cocos plate boundary","volume":"4","author":"Andreani","year":"2016","journal-title":"Earth Surf. Dyn."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.geomorph.2018.07.018","article-title":"Improving landslide susceptibility mapping using morphometric features in the Mawat area, Kurdistan Region, NE Iraq: Comparison of different statistical models","volume":"319","author":"Othman","year":"2018","journal-title":"Geomorphology"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1007\/s12583-019-1231-z","article-title":"Influence of tectonics and morphometric features on the landslide distribution: A case study from the Mesima Basin (Calabria, South Italy)","volume":"31","author":"Conforti","year":"2020","journal-title":"J. Earth Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1002\/joc.626","article-title":"Precipitation and atmospheric circulation patterns at mid-latitudes of Asia","volume":"21","author":"Aizen","year":"2001","journal-title":"Int. J. Climatol. J. R. Meteorol. Soc."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"9727","DOI":"10.3390\/rs70809727","article-title":"Remote sensing-based assessment of the variability of winter and summer precipitation in the Pamirs and their effects on hydrology and hazards using harmonic time series analysis","volume":"7","author":"Pohl","year":"2015","journal-title":"Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.geomorph.2015.01.037","article-title":"Tien Shan geohazards database: Earthquakes and landslides","volume":"249","author":"Havenith","year":"2015","journal-title":"Geomorphology"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0040-1951(00)00175-X","article-title":"Geological development and Phanerozoic crustal accretion in the western segment of the southern Tien Shan (Kyrgyzstan, Uzbekistan and Tajikistan)","volume":"328","author":"Brookfield","year":"2000","journal-title":"Tectonophysics"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1002\/2016TC004285","article-title":"Birth, life, and demise of the Andean\u2013syn-collisional Gissar arc: Late Paleozoic tectono-magmatic-metamorphic evolution of the southwestern Tian Shan, Tajikistan","volume":"36","author":"Worthington","year":"2017","journal-title":"Tectonics"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2171","DOI":"10.1002\/2015TC003897","article-title":"Cenozoic intracontinental deformation and exhumation at the northwestern tip of the India-Asia collision\u2014southwestern Tian Shan, Tajikistan, and Kyrgyzstan","volume":"35","author":"Ratschbacher","year":"2016","journal-title":"Tectonics"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"e2019TC005873","DOI":"10.1029\/2019TC005873","article-title":"Tajik basin and southwestern Tian Shan, northwestern India-Asia collision zone: 2. Timing of basin inversion, Tian Shan mountain building, and relation to Pamir-plateau advance and deep India-Asia indentation","volume":"39","author":"Abdulhameed","year":"2020","journal-title":"Tectonics"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1665","DOI":"10.1130\/0016-7606(1999)111<1665:SRFSAM>2.3.CO;2","article-title":"Seismotectonic range-front segmentation and mountain-belt growth in the Pamir-Alai region, Kyrgyzstan (India-Eurasia collision zone)","volume":"111","author":"Arrowsmith","year":"1999","journal-title":"Geol. Soc. Am. Bull."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.enggeo.2009.08.007","article-title":"Landslides triggered by the 1949 Khait earthquake, Tajikistan, and associated loss of life","volume":"109","author":"Evans","year":"2009","journal-title":"Eng. Geol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1016\/0277-3791(95)00054-2","article-title":"Loess stratigraphy of Central Asia: Palaeoclimatic and palaeoenvironmental aspects","volume":"14","author":"Dodonov","year":"1995","journal-title":"Quat. Sci. Rev."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/j.palaeo.2012.10.031","article-title":"Late Pleistocene glaciations in the Gissar Range, Tajikistan, based on 10Be surface exposure dating","volume":"369","author":"Zech","year":"2013","journal-title":"Palaeogeogr. Palaeoclimatol. Palaeoecol."},{"key":"ref_23","unstructured":"Vinninchenko, S. (2004). Landslide blockages in Tadjikistan mountains (Gissar-Alai & Pamirs): Their origin and development. Security of Natural and Artificial Rockslide Dams: Extended Abstract Volume, NATO Advanced Res. Workshop."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/0040-1951(84)90102-1","article-title":"The relationship between the deep structure and Quaternary tectonics of the Pamir and Tien-Shan","volume":"104","author":"Krestnikov","year":"1984","journal-title":"Tectonophysics"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"73","DOI":"10.3208\/sandf1972.30.4_73","article-title":"Liquefaction-induced flow slide in the collapsible loess deposit in Soviet Tajik","volume":"30","author":"Ishiara","year":"1990","journal-title":"Soils Found."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"309","DOI":"10.3313\/jls.47.309","article-title":"Landslide dams in Central Asia region","volume":"47","author":"Strom","year":"2010","journal-title":"J. Jpn. Landslide Soc."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Saponaro, A., Pilz, M., Wieland, M., Bindi, D., Moldobekov, B., and Parolai, S. (2014). Landslide susceptibility analysis in data-scarce regions: The case of Kyrgyzstan. Bull. Eng. Geol. Environ., 74.","DOI":"10.1007\/s10064-014-0709-2"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.geomorph.2017.12.007","article-title":"Modeling landslide susceptibility in data-scarce environments using optimized data mining and statistical methods","volume":"303","author":"Lee","year":"2018","journal-title":"Geomorphology"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1002\/esp.3290160505","article-title":"GIS techniques and statistical models in evaluating landslide hazard","volume":"16","author":"Carrara","year":"1991","journal-title":"Earth Surf. Process. Landforms"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1007\/s10346-007-0088-x","article-title":"Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: Case study of Youngin, Korea","volume":"4","author":"Lee","year":"2007","journal-title":"Landslides"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1016\/j.cageo.2008.08.007","article-title":"Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat\u2014Turkey)","volume":"35","author":"Yilmaz","year":"2009","journal-title":"Comput. Geosci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.cageo.2012.01.002","article-title":"Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China","volume":"46","author":"Xu","year":"2012","journal-title":"Comput. Geosci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.jseaes.2012.12.014","article-title":"A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey","volume":"64","author":"Ozdemir","year":"2013","journal-title":"J. Asian Earth Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2815","DOI":"10.5194\/nhess-13-2815-2013","article-title":"Landslide susceptibility estimation by random forests technique: Sensitivity and scaling issues","volume":"13","author":"Catani","year":"2013","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_35","unstructured":"Federal State Budgetary Institution A.P (2020, December 16). Karpinsky Russian Geological Research Institute (FGUP VSEGEI). Cartographic Resources on Regional Geology. Available online: http:\/\/webmapget.vsegei.ru\/index.html."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"529","DOI":"10.5194\/nhess-16-529-2016","article-title":"A Quaternary fault database for central Asia","volume":"16","author":"Mohadjer","year":"2016","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"170122","DOI":"10.1038\/sdata.2017.122","article-title":"Climatologies at high resolution for the Earth\u2019s land surface areas","volume":"4","author":"Karger","year":"2017","journal-title":"Sci. Data"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Farr, T.G., Rosen, P.A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., and Roth, L. (2007). The shuttle radar topography mission. Rev. Geophys., 45.","DOI":"10.1029\/2005RG000183"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Segoni, S., Pappafico, G., Luti, T., and Catani, F. (2020). Landslide susceptibility assessment in complex geological settings: Sensitivity to geological information and insights on its parameterization. Landslides, 1\u201311.","DOI":"10.1007\/s10346-019-01340-2"},{"key":"ref_40","unstructured":"Schuster, R.L., and Wieczorek, G.F. (2002, January 24\u201326). Landslide triggers and types. Proceedings of the First European Conference on Landslides, Prague, Czech Republic."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.jhydrol.2017.05.022","article-title":"Relevance of the correlation between precipitation and the 0 \u00b0C. isothermal altitude for extreme flood estimation","volume":"551","author":"Zeimetz","year":"2017","journal-title":"J. Hydrol."},{"key":"ref_42","unstructured":"Kriegler, F. (1969, January 2\u20136). Preprocessing transformations and their effects on multispectral recognition. Proceedings of the Sixth International Symposium on Remote Sensing of the Environment, University of Michigan, Ann Arbor, MI, USA."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Lu, N., and Godt, J. (2008). Infinite slope stability under steady unsaturated seepage conditions. Water Resour. Res., 44.","DOI":"10.1029\/2008WR006976"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/S0734-189X(84)80011-0","article-title":"The extraction of drainage networks from digital elevation data","volume":"28","author":"Mark","year":"1984","journal-title":"Comput. Vision Graph."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1029\/90WR02658","article-title":"Drainage networks from grid digital elevation models","volume":"27","author":"Fairfield","year":"1991","journal-title":"Water Resour. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1016\/S0098-3004(02)00022-5","article-title":"Algorithms for using a DEM for mapping catchment areas of stream sediment samples","volume":"28","author":"Jones","year":"2002","journal-title":"Comput. Geosci."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1080\/02626667909491834","article-title":"A physically based, variable contributing area model of basin hydrology\/Un mod\u00e8le \u00e0 base physique de zone d\u2019appel variable de l\u2019hydrologie du bassin versant","volume":"24","author":"Beven","year":"1979","journal-title":"Hydrol. Sci. J."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.jhydrol.2007.09.001","article-title":"Effects of DEM resolution on the calculation of topographical indices: TWI and its components","volume":"347","author":"Seibert","year":"2007","journal-title":"J. Hydrol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"3469","DOI":"10.1016\/j.rse.2008.03.018","article-title":"HAND, a new terrain descriptor using SRTM-DEM: Mapping terra-firme rainforest environments in Amazonia","volume":"112","author":"Nobre","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Taylor, D.W. (1948). Fundamentals of Soil Mechanics, John Wiley & Sons, Inc.","DOI":"10.1097\/00010694-194808000-00008"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s10346-014-0550-5","article-title":"A systematic review of landslide probability mapping using logistic regression","volume":"12","author":"Budimir","year":"2015","journal-title":"Landslides"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.2475\/ajs.284.9.1035","article-title":"Local relief and the height limits of mountain ranges","volume":"284","author":"Ahnert","year":"1984","journal-title":"Am. J. Sci."},{"key":"ref_53","unstructured":"Weiss, A. (2001). Topographic position and landforms analysis. Poster Presentation, ESRI User Conference."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.geomorph.2012.12.015","article-title":"Application of the topographic position index to heterogeneous landscapes","volume":"186","author":"Bourgeois","year":"2013","journal-title":"Geomorphology"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Trentin, R., and de Souza Robaina, L.E. (2018). Study of the landforms of the Obicu\u00ed river basin with use of topographic position index. Rev. Bras. Geomorfol., 19.","DOI":"10.20502\/rbg.v19i2.1383"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.earscirev.2014.05.016","article-title":"Roughness in the Earth Sciences","volume":"136","author":"Smith","year":"2014","journal-title":"Earth Sci. Rev."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1109\/TGRS.2010.2053546","article-title":"Multiscale analysis of topographic surface roughness in the Midland Valley, Scotland","volume":"49","author":"Grohmann","year":"2010","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"ref_58","unstructured":"Chorley, R.J. (1972). Surface roughness in topography: Quantitative approach. Spatial Analysis in Geomorphology, Methuer."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1016\/j.cageo.2004.08.002","article-title":"Morphometric analysis in Geographic Information Systems: Applications of free software GRASS and R","volume":"30","author":"Grohmann","year":"2004","journal-title":"Comput. Geosci."},{"key":"ref_60","unstructured":"Grohmann, C.H., Smith, M.J., and Riccomini, C. (September, January 31). Surface roughness of topography: A multi-scale analysis of landform elements in Midland Valley, Scotland. Proceedings of Geomorphometry 2009, Zurich, Switzerland."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1130\/0016-7606(1952)63[1117:HAAOET]2.0.CO;2","article-title":"Hypsometric (area-altitude) analysis of erosional topography","volume":"63","author":"Strahler","year":"1952","journal-title":"Geol. Soc. Am. Bull."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1130\/0016-7606(1956)67[597:EODSAS]2.0.CO;2","article-title":"Evolution of drainage systems and slopes in badlands at Perth Amboy, New Jersey","volume":"67","author":"Schumm","year":"1956","journal-title":"Geol. Soc. Am. Bull."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1130\/0016-7606(1971)82[1079:ERHIAG]2.0.CO;2","article-title":"Elevation-relief ratio, hypsometric integral, and geomorphic area-altitude analysis","volume":"82","author":"Pike","year":"1971","journal-title":"Geol. Soc. Am. Bull."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cageo.2015.04.007","article-title":"Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling","volume":"81","author":"Goetz","year":"2015","journal-title":"Comput. Geosci."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.geomorph.2016.02.012","article-title":"Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models","volume":"259","author":"Hong","year":"2016","journal-title":"Geomorphology"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.catena.2016.11.032","article-title":"A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility","volume":"151","author":"Chen","year":"2017","journal-title":"Catena"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"e1301","DOI":"10.1002\/widm.1301","article-title":"Hyperparameters and tuning strategies for random forest","volume":"9","author":"Probst","year":"2019","journal-title":"Wiley Interdiscip. Rev. Data Min. Knowl. Discov."},{"key":"ref_69","first-page":"281","article-title":"Random search for hyper-parameter optimization","volume":"13","author":"Bergstra","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Strobl, C., Boulesteix, A.L., Zeileis, A., and Hothorn, T. (2007). Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinform., 8.","DOI":"10.1186\/1471-2105-8-25"},{"key":"ref_71","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref_72","unstructured":"Breiman, L., Friedman, J., Stone, C.J., and Olshen, R.A. (1984). Classification and Regression Trees, Chapman and Hall\/CRC."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.enggeo.2009.12.004","article-title":"Techniques for evaluating the performance of landslide susceptibility models","volume":"111","author":"Frattini","year":"2010","journal-title":"Eng. Geol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.1109\/TKDE.2008.239","article-title":"Learning from imbalanced data","volume":"21","author":"He","year":"2009","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.geomorph.2015.03.019","article-title":"Tien Shan geohazards database: Landslide susceptibility analysis","volume":"249","author":"Havenith","year":"2015","journal-title":"Geomorphology"},{"key":"ref_76","first-page":"1","article-title":"Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques","volume":"9","author":"Chang","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_77","first-page":"8049","article-title":"A debiased MDI feature importance measure for random forests","volume":"32","author":"Li","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/s11222-012-9349-1","article-title":"A new variable importance measure for random forests with missing data","volume":"24","author":"Hapfelmeier","year":"2014","journal-title":"Stat. Comput."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1093\/bib\/bbr016","article-title":"Letter to the editor: On the stability and ranking of predictors from random forest variable importance measures","volume":"12","author":"Nicodemus","year":"2011","journal-title":"Briefings Bioinform."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Saponaro, A., Pilz, M., Bindi, D., and Parolai, S. (2015). The contribution of EMCA to landslide susceptibility mapping in Central Asia. Ann. Geophys., 58.","DOI":"10.4401\/ag-6668"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"2404","DOI":"10.1029\/2017TC004812","article-title":"Seismotectonics of the Tajik basin and surrounding mountain ranges","volume":"37","author":"Kufner","year":"2018","journal-title":"Tectonics"},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Zimmermann, R., Brandmeier, M., Andreani, L., Mhopjeni, K., and Gloaguen, R. (2016). Remote sensing exploration of Nb-Ta-LREE-enriched carbonatite (Epembe\/Namibia). Remote Sens., 8.","DOI":"10.3390\/rs8080620"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1080\/17538947.2011.586443","article-title":"Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping","volume":"5","author":"Kaya","year":"2012","journal-title":"Int. J. Digit. Earth"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/s10346-017-0862-3","article-title":"Debris flows triggered from non-stationary glacier lake outbursts: The case of the Teztor Lake complex (Northern Tian Shan, Kyrgyzstan)","volume":"15","author":"Erokhin","year":"2018","journal-title":"Landslides"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"2467","DOI":"10.1002\/2016WR019431","article-title":"Glacier melt buffers river runoff in the Pamir Mountains","volume":"53","author":"Pohl","year":"2017","journal-title":"Water Resour. Res."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.geomorph.2006.04.007","article-title":"Estimating the quality of landslide susceptibility models","volume":"81","author":"Guzzetti","year":"2006","journal-title":"Geomorphology"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1080\/19475705.2018.1424043","article-title":"Is the ROC curve a reliable tool to compare the validity of landslide susceptibility maps?","volume":"9","author":"Vakhshoori","year":"2018","journal-title":"Geomat. Nat. 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