Implications of terrain resolution on modeling rainfall-triggered landslides using a TIN- based model

[1]  A. Maltese,et al.  Using very high resolution (VHR) imagery within a GEOBIA framework for gully mapping: an application to the Calhoun Critical Zone Observatory , 2019, Journal of Hydroinformatics.

[2]  Federica Bardi,et al.  The effectiveness of high-resolution LiDAR data combined with PSInSAR data in landslide study , 2016, Landslides.

[3]  Rafael L. Bras,et al.  Identifying the optimal spatially and temporally invariant root distribution for a semiarid environment , 2012 .

[4]  Richard M. Iverson,et al.  Landslide triggering by rain infiltration , 2000 .

[5]  Victor J. D. Tsai,et al.  Delaunay Triangulations in TIN Creation: An Overview and a Linear-Time Algorithm , 1993, Int. J. Geogr. Inf. Sci..

[6]  Jay Lee,et al.  Comparison of existing methods for building triangular irregular network, models of terrain from grid digital elevation models , 1991, Int. J. Geogr. Inf. Sci..

[7]  E. Rotigliano,et al.  Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy) , 2016, Environmental Earth Sciences.

[8]  D. F. Watson,et al.  Systematic triangulations , 1983, Comput. Vis. Graph. Image Process..

[9]  Barnali M. Dixon,et al.  Impacts of DEM resolution, source, and resampling technique on SWAT-simulated streamflow. , 2015 .

[10]  G. Heuvelink,et al.  DEM resolution effects on shallow landslide hazard and soil redistribution modelling , 2005 .

[11]  Jewgenij Torizin,et al.  The effect of DEM resolution on the computation of the factor of safety using an infinite slope model , 2014 .

[12]  Guo H. Huang,et al.  Modeling the effects of elevation data resolution on the performance of topography-based watershed runoff simulation , 2007, Environ. Model. Softw..

[13]  Andrew Simon,et al.  The role of soil processes in determining mechanisms of slope failure and hillslope development in a humid-tropical forest eastern Puerto Rico , 1990 .

[14]  André Fonseca,et al.  What is the effect of LiDAR-derived DEM resolution on large-scale watershed model results? , 2014, Environ. Model. Softw..

[15]  Renzo Rosso,et al.  A physically based model for the hydrologic control on shallow landsliding , 2006 .

[16]  Su-Fen Wang,et al.  The effect of spatial resolution on landslide mapping - A case study in Chi-Shan river basin, Taiwan , 2010 .

[17]  J. Pomeroy,et al.  The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview , 2020 .

[18]  Kazuhide Sawada,et al.  Landslide-susceptibility analysis using light detection and ranging-derived digital elevation models and logistic regression models: a case study in Mizunami City, Japan , 2013 .

[19]  R. Bras,et al.  Integration of fuzzy logic and image analysis for the detection of gullies in the Calhoun Critical Zone Observatory using airborne LiDAR data , 2015 .

[20]  Mark P. Kumler An Intensive Comparison of Triangulated Irregular Networks (TINs) and Digital Elevation Models (DEMs) , 1994 .

[21]  Guohe Huang,et al.  A study on DEM-derived primary topographic attributes for hydrologic applications: Sensitivity to elevation data resolution , 2008 .

[22]  Marco Borga,et al.  The influence of grid resolution on the prediction of natural and road-related shallow landslides , 2014 .

[23]  D. Montgomery,et al.  Digital elevation model grid size, landscape representation, and hydrologic simulations , 1994 .

[24]  David G. Tarboton,et al.  A New Method for Determination of Most Likely Landslide Initiation Points and the Evaluation of Digital Terrain Model Scale in Terrain Stability Mapping , 2006 .

[25]  Dara Entekhabi,et al.  Generation of triangulated irregular networks based on hydrological similarity , 2004 .

[26]  Bor-Wen Tsai,et al.  The Effect of DEM Resolution on Slope and Aspect Mapping , 1991 .

[27]  Carlos Henrique Grohmann,et al.  Effects of spatial resolution on slope and aspect derivation for regional-scale analysis , 2015, Comput. Geosci..

[28]  N. Catsaros,et al.  Runoff cascades, channel network and computation hierarchy determination on a structured semi-irregular triangular grid , 2001 .

[29]  Filippo Catani,et al.  Statistical analysis of drainage density from digital terrain data , 2001 .

[30]  Antonio Francipane,et al.  Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping , 2016, Environ. Model. Softw..

[31]  Keith Beven,et al.  The role of bedrock topography on subsurface storm flow , 2002 .

[32]  Leonardo Noto,et al.  Physically-based and distributed approach to analyze rainfall-triggered landslides at watershed scale , 2009 .

[33]  Monika Sester ACCURACY OF DIGITAL ELEVATION MODEL ACCORDING TO SPATIAL RESOLUTION , 2003 .

[34]  W. Silver,et al.  Impact of hydrologically driven hillslope erosion and landslide occurrence on soil organic carbon dynamics in tropical watersheds , 2016 .

[35]  Enrique R. Vivoni,et al.  Vegetation‐hydrology dynamics in complex terrain of semiarid areas: 2. Energy‐water controls of vegetation spatiotemporal dynamics and topographic niches of favorability , 2008 .

[36]  Dara Entekhabi,et al.  Preserving high-resolution surface and rainfall data in operational-scale basin hydrology: a fully-distributed physically-based approach , 2004 .

[37]  Jin Teng,et al.  Impact of DEM accuracy and resolution on topographic indices , 2010, Environ. Model. Softw..

[38]  Paolo Tarolli,et al.  Hillslope-to-valley transition morphology: new opportunities from high resolution DTMs. , 2009 .

[39]  P. Hoeppe Trends in weather related disasters – Consequences for insurers and society , 2016 .

[40]  Reamonn Fealy,et al.  Are fine resolution digital elevation models always the best choice in digital soil mapping , 2013 .

[41]  T. M. Thu,et al.  Effect of Digital Elevation Model Resolution on Shallow Landslide Modeling Using TRIGRS , 2017 .

[42]  C. Harden,et al.  Infiltration on mountain slopes: a comparison of three environments , 2003 .

[43]  Leonardo Noto,et al.  Physically based modeling of rainfall-triggered landslides: a case study in the Luquillo Forest, Puerto Rico , 2013 .

[44]  Jeroen M. Schoorl,et al.  Calibration and resolution effects on model performance for predicting shallow landslide locations in Taiwan , 2011 .

[45]  D. Montgomery,et al.  A physically based model for the topographic control on shallow landsliding , 1994 .

[46]  R. H. Brooks,et al.  Hydraulic properties of porous media , 1963 .

[47]  R. Bras,et al.  Accounting for soil parameter uncertainty in a physically based and distributed approach for rainfall‐triggered landslides , 2016 .

[48]  Leonardo Noto,et al.  tRIBS-Erosion: A parsimonious physically-based model for studying catchment hydro-geomorphic response , 2012 .

[49]  D. Goodrich,et al.  Kinematic routing using finite elements on a triangular irregular network , 1991 .