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Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

Natan Micheletti, Loris Foresti, Sylvain Robert, Michael Leuenberger, Andrea Pedrazzini, Michel Jaboyedoff, Mikhail Kanevski
2013 Mathematical Geosciences  
This paper explores the use of adaptive support vector machines, random forests and AdaBoost for landslide susceptibility mapping in three separated regions of Canton Vaud, Switzerland, based on a set  ...  The results of this study reveal the strengths of the classification algorithms, but evidence: (1) the need for relying on more than one method for the identification of relevant variables;  ...  Acknowledgments This study was partially funded by the Swiss National Science Foundation projects Geokernels: kernel-based methods for geo-and environmental sciences.  ... 
doi:10.1007/s11004-013-9511-0 fatcat:kauagwecpffpzpyhwfyafjhu5i

A Simplified, Object-Based Framework for Efficient Landslide Inventorying Using LIDAR Digital Elevation Model Derivatives

Michael Bunn, Ben Leshchinsky, Michael Olsen, Adam Booth
2019 Remote Sensing  
because of the use of input parameters without physical meaning, a lack of transparency in machine-learning based mapping techniques, and limitations in resulting products, which are not ordinarily designed  ...  The applicability of SICCM for use in landslide inventory mapping is demonstrated for three diverse study areas in western Oregon, USA by assessing the utility of the results as a landslide inventory,  ...  Acknowledgments: The authors would like to thank Michael Ewald for his assistance in code development and Nancy Calhoun, Bill Burns, Jon Franczyk, and Justin McCarley of the Oregon Department of Geology  ... 
doi:10.3390/rs11030303 fatcat:ekrv4lryxneu5i657246xc64fm

Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt

Maxwell, Sharma, Kite, Donaldson, Thompson, Bell, Maynard
2020 Remote Sensing  
From our findings and based on a review of prior studies, we make recommendations for high spatial resolution, large-area slope failure probabilistic mapping.  ...  We also document important variables for mapping slope failures.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12030486 fatcat:7inwosbrbfdmnn524dnxnlnl7u

Using Self Organising Maps in Applied Geomorphology [chapter]

Ferentinou Maria, Karymbalis Efthimios, Charou Eleni, Sakellariou Michael
2011 Self Organizing Maps - Applications and Novel Algorithm Design  
Applied geomorphology, for example, adaptive environmental management and natural hazard assessment on a changing globe requires, expanding our understanding of earth surface complex system dynamics.  ...  The quantitative description and analysis of the geometric characteristics of the landscape is defined as geomorphometry. This field deals also, with the recognition and classification of landforms.  ...  Symbol Description Nr of data samples in 250m DEM spacing of the whole data set Sampling procedure for the data set describing the drainage basins and alluvial fan regions, was performed.  ... 
doi:10.5772/13265 fatcat:mbufw3eefjdlha77sktkrfhwfq

Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran

HAMID REZA POURGHASEMI, ABBAS GOLI JIRANDEH, BISWAJEET PRADHAN, CHONG XU, CANDAN GOKCEOGLU
2013 Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences  
The main goal of this study is to produce landslide susceptibility map using GIS-based support vector machine (SVM) at Kalaleh Township area of the Golestan province, Iran.  ...  So, the produced susceptibility maps will be useful for general land-use planning.  ...  Acknowledgements Authors would like to thank two anonymous reviewers for their helpful reviews on the earlier version of the manuscript.  ... 
doi:10.1007/s12040-013-0282-2 fatcat:7ynpc5ilc5ei7kxjv2q3tgficm

Detecting Terrain Stoniness From Airborne Laser Scanning Data †

Paavo Nevalainen, Maarit Middleton, Raimo Sutinen, Jukka Heikkonen, Tapio Pahikkala
2016 Remote Sensing  
The surface stoniness of each polygon sample was categorized for supervised learning by expert observation on the site.  ...  The locality of the polygon samples is a sparse canopy boreal forest, where the density of ALS ground returns is sufficiently high to reveal information about terrain micro-topography.  ...  Discussion A traditional approach for terrain micro-topography classification is to use DEM model as a basis for a wide array of texture methods.  ... 
doi:10.3390/rs8090720 fatcat:wzclkadc4bazlnqho2lc4zhi6y

Integration of Satellite Imagery, Topography and Human Disturbance Factors Based on Canonical Correspondence Analysis Ordination for Mountain Vegetation Mapping: A Case Study in Yunnan, China

Zhiming Zhang, Frieke van Coillie, Xiaokun Ou, Robert de Wulf
2014 Remote Sensing  
to improve the accuracy of mountain vegetation maps.  ...  The integration between vegetation data, human disturbance factors, and geo-spatial data (Digital Elevation Model (DEM) and image data) is a particular challenge for vegetation mapping in mountainous areas  ...  The authors are grateful to the friends who are working in the Bureau of Forestry of Lanping County for their help during field work.  ... 
doi:10.3390/rs6021026 fatcat:xqyvzdd7cvbshlh5ewavbohhh4

Statistical Exploration of SENTINEL-1 Data, Terrain Parameters, and in-situ Data for Estimating the Near-Surface Soil Moisture in a Mediterranean Agroecosystem

Sarah Schönbrodt-Stitt, Nima Ahmadian, Markus Kurtenbach, Christopher Conrad, Nunzio Romano, Heye R. Bogena, Harry Vereecken, Paolo Nasta
2021 Frontiers in Water  
Our results show that the combined SAR + terrain model slightly outperforms the SAR-based model (θNovSAR+Terrain with 0.025 and 0.020 m3 m−3, and 89% compared to θNovSAR with 0.028 and 0.022 m3 m−3, and  ...  Secondly, we analyze the essential parameters in estimating and mapping θ for S1 overpasses twice a day (at 5 a.m. and 5 p.m.) in a high spatiotemporal (17 × 17 m; 6 days) resolution.  ...  ACKNOWLEDGMENTS We acknowledge Luigi Giordano from Agriturismo Tre Morene in Monteforte Cilento (Salerno Province) and Benedetto Sica from the University of Naples for supporting the installation of the  ... 
doi:10.3389/frwa.2021.655837 fatcat:ykbrsfrb3najtjzami4nnfvcqm

Geospatial technologies and digital geomorphological mapping: Concepts, issues and research

Michael P. Bishop, L. Allan James, John F. Shroder, Stephen J. Walsh
2012 Geomorphology  
Historically, the power of human visualization was primarily relied upon for analysis, introducing subjectivity and biases with respect to selection of criteria for terrain segmentation and placement of  ...  It involves the partitioning of the terrain into conceptual spatial entities based upon criteria that include morphology (form), genetics (process), composition and structure, chronology, environmental  ...  Acknowledgements We thank the Geography and Spatial Science (GSS) and the Geomorphology and Land Use Dynamics (GLD) programs of the National Science Foundation for funding to help support the 41st Binghamton  ... 
doi:10.1016/j.geomorph.2011.06.027 fatcat:32bmu3u3gvc4vawqmkdn2yo3sq

Cartography of Mars in a Virtual Reality Environment

Rolf Westerteiger, Marc Herbstritt
2011 Visualization of Large and Unstructured Data Sets  
This work aims to investigate the suitability of applying Virtual Reality techniques in the exploration of Mars terrain features in order to support the creation of topographic maps of the planet.  ...  Traditionally, these tasks are performed using Geo-Information-Systems (GIS) on desktop workstations, with a two-dimensional projection of the collected map data as the basis on which an operator performs  ...  From a description of two different usage scenarios, requirements for the terrain visualization component were derived which, together with assumptions about the nature of the source data, motivated the  ... 
doi:10.4230/oasics.vluds.2010.100 dblp:conf/vluds/Westerteiger10 fatcat:gcy6k4txnzd4tmxywdxzcaul6y

Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati, Majid Danesh, Amir Mosavi, Thomas Scholten
2020 Remote Sensing  
more information from the auxiliary data surrounding the sampled observations, it had high accuracy for the prediction of the SOC base-line map and minimal uncertainty.  ...  deep neural network (DNN) for advancing prediction models of SOC.  ...  Thirty terrain attributes were derived from a DEM [66] . The DEM was obtained from shuttle radar topography mission terrain (SRTM) data with 30 m grid cells.  ... 
doi:10.3390/rs12142234 fatcat:mpe2e76ubfd3zowoy57qxvegqi

Topographic determinants of mobile vertebrate predator hotspots: current knowledge and future directions

Phil J. Bouchet, Jessica J. Meeuwig, Chandra P. Salgado Kent, Tom B. Letessier, Curt K. Jenner
2014 Biological Reviews  
Knowledge discovery from soil maps using inductive learning. International Journal of Geographical Information Science 17, 771—795. Quinn, T. & TEHART, B. (1987).  ...  Multiscale terrain analysis of multibeam bathymetry data for habitat mapping on the continental slope. Marine Geology 30, 3-35. WILson, S., TAYLOR, J. & PEARCE, A. (2001).  ... 
doi:10.1111/brv.12130 pmid:25125200 fatcat:4le3lftbgvanvoz5w4ai2gghle

Digital Elevation Model Quality Assessment Methods: A Critical Review

Laurent Polidori, Mhamad El Hage
2020 Remote Sensing  
The quality of a DEM is a primary requirement for many applications and is affected during the different processing steps, from the collection of elevations to the interpolation implemented for resampling  ...  , and it is locally influenced by the landcover and the terrain slope.  ...  Acknowledgments: This review paper is based on multiple research works carried out by the authors for years.  ... 
doi:10.3390/rs12213522 fatcat:zncpipkyyrdurj6l3iqdjfstji

Download Complete Issue: CP67 (14MB)

Complete Issue
2010 Cartographic Perspectives  
While all maps use illustrated elements for some lines and for text, the group of illustrated maps uses vector-based art for the terrain itself.  ...  created a master base map and two derivative maps of Glacier Bay for visitor use.  ...  Use the Chicago Manual of Style published by the University of Chicago Press for the correct style for various sources.  ... 
doi:10.14714/cp67.169 fatcat:nhxr3atrrffhboacfwejv5e5zm

Terrain analysis using radar shape-from-shading

A.G. Bors, E.R. Hancock, R.C. Wilson
2003 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The aim is to use this method to reconstruct surface topography from a single radar image of relatively complex terrain.  ...  Our MAP framework makes explicit how the recovery of local surface orientation depends on the whereabouts of terrain edge features and the available radar reflectance information.  ...  identifying topographical regions and, thus, for terrain description.  ... 
doi:10.1109/tpami.2003.1217602 fatcat:rrgn25zhuzgbhcixziszwcqrcm
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