Model:KnickZone-Picker: Difference between revisions

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{{Model identity
{{Model identity
|Model also known as=KPP
|Model also known as=KZP
|Model type=Tool
|Model type=Tool
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{{Model identity2
{{Model identity2
|ModelDomain=Terrestrial, Hydrology
|Spatial dimensions=1.5D, 2D
|Spatial dimensions=1.5D, 2D
|Spatialscale=Regional-Scale, Landscape-Scale, Watershed-Scale, Reach-Scale, Patch-Scale
|Spatialscale=Regional-Scale, Landscape-Scale, Watershed-Scale, Reach-Scale, Patch-Scale
|One-line model description=Matlab-based script to extract topometrics for catchments and river knickpoints.
|One-line model description=Matlab-based scripts to extract topometrics for catchments and identify river knickpoints.
|Extended model description=--- WHEN USING THIS CODE FOR YOUR RESEARCH, PLEASE CITE: ---<br>
|Extended model description=--- WHEN USING THIS CODE FOR YOUR RESEARCH, PLEASE CITE: ---<br>
Neely, A., Bookhagen, B., Burbank, D.W. (in review): Connecting Stream Transience and Hillslope Evolution: Insights from a Knickpoints Selection Algorithm applied to Santa Cruz Island, California, JGR-Earth Surface<br>
Neely, A., Bookhagen B., Burbank, D.W. (2017): An automated knickzone selection algorithm (KZ-Picker) to analyze transient landscapes: Calibration and validation, JGR Earth Surface, doi:10.1002/2017JF004250
available at: http://onlinelibrary.wiley.com/doi/10.1002/2017JF004250/full
<br>
---
---


The Matlab-based script extract several topometrics at the catchment scale (drainage area and stream-order size can be adjusted) based on log area/log slope and chi-squared plots. Topometrics include: steepness index, theta, steepness index with adjusted theta for each drainage basin, specific stream power, curvature, local relief, and others. Output is written as GeoTIFF files, shapefiles, and CSV files.
The Matlab-based scripts extract several topometrics at the catchment scale based on log area/log slope and chi plots. Topometrics include: steepness index, theta, steepness index with adjusted theta for each drainage basin, specific stream power, curvature, local relief, and others. Detrended and normalized chi-squared plots are used to identify river knickpoints. Output is written as GeoTIFF files, shapefiles, and CSV files.
In a second step, detrended and normalized chi-squared plots are used to identify river knickpoints. Output is written as shapefile and CSV files.
 
Additional information, examples, and tutorials are provided on the github page.
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{{Model technical information
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|Supported platforms=Linux, Mac OS, Windows
|Supported platforms=Unix, Linux, Mac OS, Windows
|Programming language=Matlab
|Programming language=Matlab
|Code optimized=Multiple Processors
|Code optimized=Multiple Processors
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|Describe input parameters=All input parameters are defined in a well-documented and commented Matlab parameter file.
|Describe input parameters=All input parameters are defined in a well-documented and commented Matlab parameter file.
Only a Digital Elevation Model, preferable in GeoTIFF format is needed.
Only a Digital Elevation Model, preferable in GeoTIFF format is needed.
|Input format=Binary
|Input format=ASCII, Binary
|Other input format=GeoTIFF
|Other input format=GeoTIFF
|Describe output parameters=Output data are written as GeoTIFF files, shapefiles, CSV files.
|Describe output parameters=Output data are written as GeoTIFF files, shapefiles, CSV files.
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|Describe available calibration data sets=Example and validation datasets are available on the github page.
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|OpenMI compliant=Yes
|OpenMI compliant=Yes
|IRF interface=Yes
|IRF interface=Yes
|CMT component=Not yet
|CMT component=No but possible
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== Issues ==
== Issues ==

Latest revision as of 20:16, 16 September 2020



KnickZone-Picker


Metadata

Also known as KZP
Model type Tool
Model part of larger framework
Note on status model
Date note status model
Incorporated models or components:
Spatial dimensions 1.5D, 2D
Spatial extent Regional-Scale, Landscape-Scale, Watershed-Scale, Reach-Scale, Patch-Scale
Model domain Terrestrial, Hydrology
One-line model description Matlab-based scripts to extract topometrics for catchments and identify river knickpoints.
Extended model description --- WHEN USING THIS CODE FOR YOUR RESEARCH, PLEASE CITE: ---

Neely, A., Bookhagen B., Burbank, D.W. (2017): An automated knickzone selection algorithm (KZ-Picker) to analyze transient landscapes: Calibration and validation, JGR Earth Surface, doi:10.1002/2017JF004250 available at: http://onlinelibrary.wiley.com/doi/10.1002/2017JF004250/full
---

The Matlab-based scripts extract several topometrics at the catchment scale based on log area/log slope and chi plots. Topometrics include: steepness index, theta, steepness index with adjusted theta for each drainage basin, specific stream power, curvature, local relief, and others. Detrended and normalized chi-squared plots are used to identify river knickpoints. Output is written as GeoTIFF files, shapefiles, and CSV files.

Additional information, examples, and tutorials are provided on the github page.

Keywords:
Name Bodo Bookhagen
Type of contact Model developer
Institute / Organization University of Potsdam
Postal address 1 Institute of Earth and Environmental Science
Postal address 2 Karl-Liebknecht-Str. 24-25
Town / City Potsdam-Golm
Postal code 14476
State
Country Germany
Email address bodo.bookhagen@uni-potsdam.de
Phone
Fax


Supported platforms
Unix, Linux, Mac OS, Windows
Other platform
Programming language

Matlab

Other program language
Code optimized Multiple Processors
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development 2015
Does model development still take place? Yes
If above answer is no, provide end year model development
Code development status
When did you indicate the 'code development status'?
Model availability As code
Source code availability
(Or provide future intension) 		Through web repository
Source web address https://github.com/UP-RS-ESP/DEM-KZP
Source csdms web address
Program license type GPL v3
Program license type other
Memory requirements depending on DEM size
Typical run time depending on DEM size


Describe input parameters All input parameters are defined in a well-documented and commented Matlab parameter file.

Only a Digital Elevation Model, preferable in GeoTIFF format is needed.

Input format ASCII, Binary
Other input format GeoTIFF
Describe output parameters Output data are written as GeoTIFF files, shapefiles, CSV files.
Output format ASCII, Binary
Other output format ESRI shapefiles, GeoTIFF
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


Describe processes represented by the model
Describe key physical parameters and equations
Describe length scale and resolution constraints
Describe time scale and resolution constraints
Describe any numerical limitations and issues


Describe available calibration data sets Example and validation datasets are available on the github page.
Upload calibration data sets if available:
Describe available test data sets
Upload test data sets if available:
Describe ideal data for testing


Do you have current or future plans for collaborating with other researchers?
Is there a manual available? No
Upload manual if available:
Model website if any
Model forum / discussion board
Comments Well documented Matlab Parameter file, HOWTO file for example catchment and detailed algorithm description with application in:

Neely, A., Bookhagen, B., Burbank, D.W. (in review): Connecting Stream Transience and Hillslope Evolution: Insights from a Knickpoints Selection Algorithm applied to Santa Cruz Island, California, JGR-Earth Surface


This part will be filled out by CSDMS staff

OpenMI compliant Yes
BMI compliant Yes
WMT component No but possible
PyMT component
Is this a data component
Can be coupled with:
Model info
Authors
Bodo Bookhagen
Source code
Model citations
Nr. of publications: --
Total citations: 0
h-index: --"--" is not a number.
m-quotient: 0
QR-code

Link to this page
Other models by author



Introduction

History

References



Nr. of publications: --
Total citations: 0
h-index: --"--" is not a number.
m-quotient: 0



Featured publication(s)YearModel describedType of ReferenceCitations
Neely, A. B.; Bookhagen, B.; Burbank, D. W.; 2017. An automated knickzone selection algorithm (KZ-Picker) to analyze transient landscapes: Calibration and validation: Automated Approach to Mapping Knickzones. Journal of Geophysical Research: Earth Surface, 122, 1236–1261. 10.1002/2017JF004250
(View/edit entry)		2017 KnickZone-Picker
 Related theory 53
See more publications of KnickZone-Picker


Issues

Help

Input Files

Output Files

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