CSDMS - User contributions [en]

Model:Hilltop and hillslope morphology extraction

2013-08-07T09:48:39Z

Mhurst: Created page with "{{Model identity |Model type=Tool }} {{Start models incorporated}} {{End a table}} {{Model identity2 |Categories=Terrestrial |Spatial dimensions=2D |Spatialscale=Watershed-Sca..."

{{Model identity
|Model type=Tool
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|Categories=Terrestrial
|Spatial dimensions=2D
|Spatialscale=Watershed-Scale, Reach-Scale
|One-line model description=Tools for extracting hilltops and analysing hillslope morphology
|Extended model description=A series of tools for extracting a network of hilltops from a landscape, computing curvature, slope and aspect over variable length scales from high resolution topography and performing hillslope traces from hilltops to valley bottoms to sample hilltop curvature, mean hillslope gradient and hillslope length. See Hurst et al. [2012] for full description.
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=topographic analysis
}}
{{End a table}}
{{Modeler information
|First name=Martin
|Last name=Hurst
|Type of contact=Model developer
|Institute / Organization=British Geological Survevy
|Postal address 1=Nicker Hill
|Postal address 2=Keyworth
|Town / City=Nottingham
|Postal code=NG12 6DA
|State=NO STATE
|Country=United Kingdom
|Email address=mhurst@bgs.ac.uk
|Phone=+44 1159 363103
}}
{{Model technical information
|Supported platforms=Unix, Linux, Windows
|Programming language=C++, Python
|Code optimized=Single Processor
|Multiple processors implemented=
|Nr of distributed processors=
|Nr of shared processors=
|Start year development=2010
|Does model development still take place?=No
|End year development=2012
|Model availability=As code
|Source code availability=Through CSDMS repository
|Source web address=
|Program license type=GPL v3
|Program license type other=
|Memory requirements=Dependent on DEM size
|Typical run time=Days-Weeks!
}}
{{Input - Output description
|Describe input parameters=See included readme
|Describe output parameters=See included readme
|Pre-processing software needed?=No
|Describe pre-processing software=
|Post-processing software needed?=No
|Describe post-processing software=
|Visualization software needed?=Yes
|If above answer is yes=ESRI
}}
{{Process description model
|Describe processes represented by the model=The module can be split into three processes. First computing topographic curvature (laplacian), slope and aspect from a gridded DEM over variable length scales to reduce local scale noise below the scale of interest (e.g. vegetation, boulders/rubble) (see Hurst et al. [2012] for further justification). Secondly, extraction of a network of hilltops as the intersecting margins of adjoining drainage basins at all stream orders through hydrological analysis of the DEM. Third, the use of the hilltop network to extract the spatial distribution of hillslope properties (hilltop curvature, mean hillslope gradient and hillslope length) by aspect driven steepest-descent tracing.
|Describe length scale and resolution constraints=Requires high resolution (1 m LiDAR) topographic data.
|Describe any numerical limitations and issues=Dpeending on the size of the DEM this can be quite a slow process, particularly the third step.
}}
{{Model testing
|Describe available test data sets=Db_dem.zip
}}
{{Users groups model
|Do you have current or future plans for collaborating with other researchers?=This code has been subsumed into a topographic analysis package being developed with Simon Mudd at the University of Edinburgh which may be available at a future date.
}}
{{Documentation model
|Manual model available=No
|Model manual=
}}
{{Additional comments model}}
{{CSDMS staff part
|OpenMI compliant=No not possible
|CCA component=No not possible
|IRF interface=No not possible
|CMT component=Not yet
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}

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==Introduction==

== History ==

== References ==
{{Add_reference_upload_button}}
{{Add_model_references}}

== Issues ==

== Help ==
{{#ifexist:Model_help:{{PAGENAME}}|[[Model_help:{{PAGENAME}}]]|}}

== Input Files ==

== Output Files ==

Model:1D Hillslope MCMC

2013-08-07T09:27:32Z

{{Model identity
|Model type=Tool
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|Categories=Terrestrial
|Spatial dimensions=1D
|Spatialscale=Reach-Scale
|One-line model description=Monte Carlo chain of 1D non-linear diffusion hillslope model to find most likely boundary conditions
|Extended model description=The model evolves a 1D hillslope according to a non-linear diffusion rule [e.g. Roering et al. 1999] for varying boundary conditions idealised as a gaussian pulse of baselevel fall through time. A Markov Chain Monte Carlo inversion finds the most likely boundary condition parameters when compared to a time series of field data on hillslope morphology from the Dragon's Back Pressure Ridge, Carrizo Plain, CA, USA [see Hilley and Arrowsmith, 2008].
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=landscape evolution
}}
{{Model keywords
|Model keywords=Hillslope Model
}}
{{End a table}}
{{Modeler information
|First name=Martin
|Last name=Hurst
|Type of contact=Project manager
|Institute / Organization=British Geological Survevy
|Postal address 1=Nicker Hill
|Postal address 2=Keyworth
|Town / City=Nottingham
|Postal code=NG12 6DA
|State=NO STATE
|Country=United Kingdom
|Email address=mhurst@bgs.ac.uk
|Phone=+44 1159 363103
}}
{{Model technical information
|Supported platforms=Unix, Linux, Mac OS, Windows
|Programming language=C++
|Code optimized=Single Processor
|Multiple processors implemented=
|Nr of distributed processors=
|Nr of shared processors=
|Start year development=2012
|Does model development still take place?=No
|End year development=2012
|Model availability=As code
|Source code availability=Through CSDMS repository
|Source web address=
|Program license type=GPL v3
|Program license type other=
|Typical run time=Days
}}
{{Input - Output description
|Describe input parameters=Number of iterations (or links in the chain)
Initial parameters from which to start the Markov Chain Monte Carlo simulations
Hillslope morphology measured from topograph for comparison (in dimensionless E* R* format; see Roering et al. 2007 or Hurst et al. 2012).
|Input format=ASCII
|Other input format=command line arguments
|Describe output parameters=Parameters used for simulations by the MCMC algorithm and their likelihood compared to the field data.
|Output format=ASCII
|Pre-processing software needed?=No
|Describe pre-processing software=
|Post-processing software needed?=No
|Describe post-processing software=
|Visualization software needed?=No
|If above answer is yes=
|Other visualization software=
}}
{{Process description model
|Describe processes represented by the model=Hillslope sediment transport is represented by a slope dependent nonlinear diffusion rule [e.g. Roering et al. 1999] in which sediment transport is assumed to be disturbance driven and tends to infinite as slopes approach some critical gradient. Uplift is idealised as a gaussian pulse, with duration, timing and magnitude treated as variable parameters in the Monte Carlo inversion.
|Describe key physical parameters and equations=Hillslope diffusivity is assumed to be 0.0086 m^2 a^-1 following Arrowsmith et al [1998].
|Describe length scale and resolution constraints=Model uses a fixed hillslope length of 30 m constrained from topographic measurements.
}}
{{Model testing
|Describe available test data sets=Hillslope morphology data from the Dragon's Back Pressure Ridge is included in packaged code.
}}
{{Users groups model
|Do you have current or future plans for collaborating with other researchers?=No
}}
{{Documentation model
|Manual model available=No
|Model manual=
}}
{{Additional comments model}}
{{CSDMS staff part
|OpenMI compliant=No not possible
|CCA component=No not possible
|IRF interface=No not possible
|CMT component=Not yet
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}

{{#ifexist:Template:{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats | ==Download statistics==
{{{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats}} | }}

==Introduction==

== History ==

== References ==
{{Add_reference_upload_button}}
{{Add_model_references}}

== Issues ==

== Help ==
{{#ifexist:Model_help:{{PAGENAME}}|[[Model_help:{{PAGENAME}}]]|}}

== Input Files ==

== Output Files ==

Model:Non Local Means Filtering

2013-08-07T09:02:13Z

{{Model identity
|Model type=Tool
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|Categories=Terrestrial
|Spatial dimensions=2D
|Spatialscale=Watershed-Scale
|One-line model description=Performs non-local means filtering of a DEM following Buades et al. (2005)
|Extended model description=Smoothes noise in a DEM by finding the mean value of neighbouring cells and assigning it to the central cell. This approach deals well with non-gaussian distributed noise.
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=topographic analysis
}}
{{End a table}}
{{Modeler information
|First name=Martin
|Last name=Hurst
|Type of contact=Model developer
|Institute / Organization=British Geological Survevy
|Postal address 1=Nicker Hill
|Postal address 2=Keyworth
|Town / City=Nottingham
|Postal code=NG12 6DA
|State=NO STATE
|Country=United Kingdom
|Email address=mhurst@bgs.ac.uk
|Phone=+44 1159 363103
}}
{{Model technical information
|Supported platforms=Unix, Linux, Mac OS, Windows
|Programming language=C++
|Code optimized=Single Processor
|Multiple processors implemented=
|Nr of distributed processors=
|Nr of shared processors=
|Start year development=2012
|Does model development still take place?=No
|End year development=2012
|Model availability=As code
|Source code availability=Through CSDMS repository
|Source web address=
|Program license type=GPL v3
|Program license type other=
|Memory requirements=Dependent on DEM size
|Typical run time=Minutes-Hours
}}
{{Input - Output description
|Describe input parameters=DEM: A DEM in *.flt binary format (as generated by ARC GIS)
Search Window Radius: The distance around the centre cell in which to evaluate the means (in pixels).
Similarity Window Radius: The distance around neighbouring cells over which to calculate means (in pixels).
Degree of filtering: The weighting for the gaussian kernel controlling the strength of filtering and therefore the decay of weights as a function of distance from the centre of the kernel.
|Input format=Binary
|Other input format=Command line arguments
|Describe output parameters=Filtered DEM: A new, filtered DEM in *.flt binary format.
Noise: A *.flt binary format grid of the filtered noise.
|Output format=Binary
|Pre-processing software needed?=No
|Describe pre-processing software=
|Post-processing software needed?=No
|Describe post-processing software=
|Visualization software needed?=Yes
|If above answer is yes=ESRI
}}
{{Process description model
|Describe processes represented by the model=Uses a non-local means filter image processing technique to perform filtering/smoothing of a DEM.
|Describe key physical parameters and equations=Search window radius: The distance around each cell over which to evaluate the non-local mean.
Similarity Window Radius: The distance around each cell in the neighbourhood over which to evaluate the mean.
Degree of filtering: The weighting for the gaussian kernel controlling the strength of filtering and therefore the decay of weights as a function of distance from the centre of the kernel.
|Describe length scale and resolution constraints=Typically applied to high resolution (1 m LiDAR) gridded topographic datasets. Could pheasably be applied to other resolutions where the scale of noise is similar to the resolution of the topographic data.
|Describe time scale and resolution constraints=N/A
|Describe any numerical limitations and issues=N/A
}}
{{Model testing
|Describe available test data sets=We provide a small clip of the Dragon's Back Pressure Ridge 0.25m gridded LiDAR for user testing.
|Model test data=Db dem.zip,
}}
{{Users groups model
|Do you have current or future plans for collaborating with other researchers?=This algorithm has been included in a larger software package being developed with Simon M. Mudd at the University of Edinburgh which should be available at a future date.
}}
{{Documentation model
|Manual model available=No
|Model manual=
}}
{{Additional comments model}}
{{CSDMS staff part
|OpenMI compliant=No not possible
|CCA component=No not possible
|IRF interface=No not possible
|CMT component=Not yet
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}

{{#ifexist:Template:{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats | ==Download statistics==
{{{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats}} | }}

==Introduction==

== History ==

== References ==
{{Add_reference_upload_button}}
{{Add_model_references}}

== Issues ==

== Help ==
{{#ifexist:Model_help:{{PAGENAME}}|[[Model_help:{{PAGENAME}}]]|}}

== Input Files ==

== Output Files ==

File:Db dem.zip

2013-08-07T08:50:51Z

Mhurst: Sample of 0.25m DEM from the Dragon's Back Pressure Ridge, Carrizo Plain, CA, USA for testing the non local means filtering algorithm.

Sample of 0.25m DEM from the Dragon's Back Pressure Ridge, Carrizo Plain, CA, USA for testing the non local means filtering algorithm.

User:Mhurst

2013-02-13T09:16:32Z

Mhurst:

{{Signup information member
|First name member=Martin
|Last name member=Hurst
|Institute member=British Geological Survey
|City member=Keyworth
|Country member=United Kingdom
|Confirm email member=mhurst@bgs.ac.uk
|Working group member=Terrestrial Working Group, Coastal Working Group
|Description of your CSDMS-related interests member=Terrestrial and coastal landscape evolution modelling, quantitative analysis of topographic data.
}}