A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
2013
Mathematical Geosciences
Preserved Fulltext
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
2019
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2011
Self Organizing Maps - Applications and Novel Algorithm Design
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2013
Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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 †
2016
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2014
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2021
Frontiers in Water
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2012
Geomorphology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
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
2011
Visualization of Large and Unstructured Data Sets
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
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
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2014
Biological Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
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
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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)
2010
Cartographic Perspectives
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2003
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 461 results