-
Notifications
You must be signed in to change notification settings - Fork 0
/
LUCI_SEEA.RUSLE.pyt.xml
1 lines (1 loc) · 16.4 KB
/
LUCI_SEEA.RUSLE.pyt.xml
1
<metadata xml:lang="en"><Esri><CreaDate>20190522</CreaDate><CreaTime>12033300</CreaTime><ArcGISFormat>1.0</ArcGISFormat><SyncOnce>TRUE</SyncOnce><ModDate>20210521</ModDate><ModTime>11363300</ModTime><scaleRange><minScale>150000000</minScale><maxScale>5000</maxScale></scaleRange><ArcGISProfile>ItemDescription</ArcGISProfile></Esri><tool name="RUSLE" displayname="Calculate soil loss (RUSLE)" toolboxalias="LUCI" xmlns=""><arcToolboxHelpPath>c:\program files (x86)\arcgis\desktop10.6\Help\gp</arcToolboxHelpPath><parameters><param name="Output_folder" displayname="Output folder" type="Required" direction="Input" datatype="Folder" expression="Output_folder"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Specify the path and folder name where output from this tool should be stored.</SPAN></P></DIV></DIV></DIV></dialogReference></param><param name="Preprocess_folder" displayname="Preprocessed data folder" type="Required" direction="Input" datatype="Folder" expression="Preprocess_folder"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Specify the path an</SPAN><SPAN>d</SPAN><SPAN> folder where the output from the </SPAN><SPAN STYLE="font-style:italic;">Preprocess data </SPAN><SPAN>tool is stored.</SPAN></P></DIV></DIV></DIV></dialogReference></param><param name="Rainfall_erosivity" displayname="R-factor: Rainfall erosivity dataset" type="Required" direction="Input" datatype="Raster Layer" expression="Rainfall_erosivity"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Specify the path and filename to the rainfall erosivity raster.</SPAN></P></DIV></DIV></DIV></dialogReference></param><param name="LS_option" displayname="LS-factor: Method option" type="Required" direction="Input" datatype="String" expression="Calculate based on slope and length only | Include upslope contributing area"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This tool has two options to estimate the effect of slope length and steepness:</SPAN></P><UL><LI><P><SPAN STYLE="font-style:italic;">Calculate based on slope and length only</SPAN><SPAN>: This method only accounts for slope length and steepness as specified by Morgan [2].</SPAN></P></LI><LI><P><SPAN STYLE="font-style:italic;">Include upslope contributing area</SPAN><SPAN>: This method includes slope length, steepness, and upslope contributing area as specified by </SPAN><SPAN>Moore and Burch [3</SPAN><SPAN>]. This method may require more processing time if the study area is large or the DEM is high-resolution.</SPAN></P></LI></UL><P><SPAN>Default is Calculate based on slope and length only.</SPAN></P><P><SPAN>[2] Morgan, R. P. C. (2005) Soil Erosion and Conservation. National Soil Resources Institute, Cranfield University.</SPAN></P><P><SPAN>[3] Moore, I. D., &amp; Burch, G. J. (1986). Physical Basis of the Length-slope Factor in the Universal Soil Loss Equation. Soil Science Society of America Journal, 50(5), 1294–1298.</SPAN></P></DIV></DIV></DIV></dialogReference></param><param name="LSfactor_cutoff_angle" displayname="LS-factor: Cutoff slope angle (degrees)" type="Required" direction="Input" datatype="Double" expression="LSfactor_cutoff_angle"><dialogReference><DIV STYLE="text-align:Left;"><DIV><P><SPAN>Specify the cutoff angle for calculating the LS-factor. Beyond this slope angle, only rock is expected to be found with no soil on the surface.The value of 26.6 degrees or 50% was suggested by [1]</SPAN><SPAN>.</SPAN></P><P><SPAN /><SPAN>[1] Panagos, P., Borelli, P., &amp; Meusburger, K. (2015). </SPAN><A href="https://www.mdpi.com/2076-3263/5/2/117"><SPAN>A New European Slope Length and Steepness Factor (LS-factor) for Modeling Soil Erosion by Water</SPAN></A><SPAN>. </SPAN><SPAN STYLE="font-style:italic;">Geosciences</SPAN><SPAN>. 5(2). 117-126.</SPAN></P></DIV></DIV></dialogReference></param><param name="Kfactor_option" displayname="K-factor: Soil erodibility option" type="Required" direction="Input" datatype="String" expression="Use preprocessed soil data | Use local K-factor dataset"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This tool has two options for determining K-factor depending on the dataset that will be entered in the parameter </SPAN><SPAN STYLE="font-style:italic;">K-factor: Soils or erodibility dataset</SPAN><SPAN>below:</SPAN></P><UL><LI><P><SPAN STYLE="font-style:italic;">Use preprocessed soil data</SPAN><SPAN>: Choose this option if the input soil dataset is from the Harmonized World Soils Database and has been preprocessed in the </SPAN><SPAN STYLE="font-style:italic;">Preprocess data </SPAN><SPAN>tool.</SPAN></P></LI><LI><P><SPAN STYLE="font-style:italic;">Use local K-factor dataset</SPAN><SPAN>: Choose this option if using a pre-existing K-factor dataset for this study area.</SPAN></P></LI></UL></DIV></DIV></DIV></dialogReference></param><param name="Soils" displayname="K-factor: Soil erodibility dataset" type="Optional" direction="Input" datatype="Feature Class or Raster Layer" expression="{Soils}"><dialogReference><DIV STYLE="text-align:Left;"><P><SPAN>This input depends on the K-factor option outlined above.</SPAN></P><P><SPAN>If </SPAN><SPAN STYLE="font-style:italic;">Use preprocessed soil data </SPAN><SPAN>was selected, this input can be left blank. The soil dataset will be pulled from the preprocess data folder.</SPAN></P><P><SPAN>If </SPAN><SPAN STYLE="font-style:italic;">Use local K-factor dataset </SPAN><SPAN>was selected, specify the path and filename to the raster, shapefile, or feature class that contains the K-factor dataset and values.</SPAN></P></DIV></dialogReference></param><param name="Soil_linking_code" displayname="K-factor: Soil linking code" type="Optional" direction="Input" datatype="String" expression="{Soil_linking_code}"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Specify the field that contains the unique identifier for the input K-factor </SPAN><SPAN>dataset. For rasters, this field is typically </SPAN><SPAN STYLE="font-style:italic;">VALUE</SPAN><SPAN>. For feature classes/shapefiles, this field is dependent on the creation of the dataset.</SPAN></P></DIV></DIV></DIV></dialogReference></param><param name="Cfactor_option" displayname="C-factor: Land cover option" type="Required" direction="Input" datatype="String" expression="Use preprocessed land cover data | Use local C-factor dataset"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This tool has two options for determining C-factor depending on the dataset that will be entered in the parameter </SPAN><SPAN STYLE="font-style:italic;">C-factor: Land cover or cover factor dataset</SPAN><SPAN> below:</SPAN></P><UL><LI><P><SPAN STYLE="font-style:italic;">Use preprocessed land cover data</SPAN><SPAN>: Choose this option if the input soil dataset is from the ESA CCI global dataset and has been preprocessed in the Preprocess data tool.</SPAN></P></LI><LI><P><SPAN STYLE="font-style:italic;">Use local C-factor dataset</SPAN><SPAN>: Choose this option if using a pre-existing C-factor dataset for this study area.</SPAN></P></LI></UL></DIV></DIV></DIV></dialogReference></param><param name="Land_cover" displayname="C-factor: Cover factor dataset" type="Optional" direction="Input" datatype="Feature Class or Raster Layer" expression="{Land_cover}"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This input depends on the C-factor option outlined above.</SPAN></P><P><SPAN>If </SPAN><SPAN STYLE="font-style:italic;">Use preprocessed land cover data</SPAN><SPAN> </SPAN><SPAN>was selected, this input can be left blank. The land cover dataset will be pulled from the preprocess data folder.</SPAN></P><P><SPAN>If </SPAN><SPAN STYLE="font-style:italic;">Use local C-factor dataset</SPAN><SPAN STYLE="font-style:italic;"> </SPAN><SPAN STYLE="font-style:italic;"> </SPAN><SPAN>was selected, specify the path and filename to the raster, shapefile, or feature class that contains the C-factor dataset and values.</SPAN></P></DIV></DIV></DIV></dialogReference></param><param name="Land_cover_linking_code" displayname="C-factor: Land cover linking code" type="Optional" direction="Input" datatype="String" expression="{Land_cover_linking_code}"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Specify the field that contains the unique identifier for the input C-factor dataset. For rasters, this field is typically </SPAN><SPAN STYLE="font-style:italic;">VALUE</SPAN><SPAN>. For feature classes/shapefiles, this field is dependent on the creation of the dataset.</SPAN></P></DIV></DIV></DIV></dialogReference></param><param name="Pfactor_dataset" displayname="P-factor: Support practice dataset" type="Optional" direction="Input" datatype="Raster Layer" expression="{Pfactor_dataset}"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Specify the path and filename to the support practice (P-factor) raster.</SPAN></P></DIV></DIV></DIV></dialogReference></param><param name="Save_factor_layers" displayname="Save factor layers?" type="Required" direction="Input" datatype="Boolean" expression="Save_factor_layers"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Tick this box to save the RUSLE layers to the output folder.</SPAN></P></DIV></DIV></DIV></dialogReference></param><param name="Rerun_tool" displayname="Rerun tool (will continue previous run from the point where any errors occurred)" type="Required" direction="Input" datatype="Boolean" expression="Rerun_tool"><dialogReference><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Check to rerun the tool if it fails prior to completion. The rerun will start again from the point of failure rather than starting the tool from the beginning.</SPAN></P></DIV></DIV></DIV></dialogReference></param></parameters><summary><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This tool estimates the annual soil loss (tonnes/ha/yr) using the Revised Universal Soil Loss Equation (RUSLE) [1] approach.</SPAN><SPAN>Before running this tool, run the </SPAN><SPAN STYLE="font-style:italic;">Preprocess data </SPAN><SPAN>tool to run consistency checks and recondition the digital elevation model if required. </SPAN><SPAN>This tool requires the following datasets:</SPAN></P><UL><LI><P><SPAN>Digital Elevation Model</SPAN><SPAN>: from the Preprocess data tool, this DEM can either be the raw input DEM or the reconditioned DEM</SPAN></P></LI><LI><P><SPAN>Soil</SPAN></P></LI><LI><P><SPAN>Land Cover</SPAN></P></LI><LI><P><SPAN>Rainfall erosivity</SPAN></P></LI></UL><P><SPAN>Instructions for which datasets to download and how to acquire </SPAN><SPAN>some globally-accessible land cover, soil, and rainfall erosivity datasets </SPAN><SPAN>can be found </SPAN><A href="https://lucitools.org/luci-online-tutorials/downloading-data-for-the-rusle-tool"><SPAN>here</SPAN></A><SPAN>.</SPAN></P><P><SPAN>This tool also allows the user to input their own datasets for soil erodibility (K-factor) and cover (C-factor) if available or they have made their own parameterisation with their soil or land cover data.</SPAN><SPAN /><SPAN>If the user has made a P-factor dataset for their study area, it can be input in the optional parameter </SPAN><SPAN STYLE="font-style:italic;">P-factor: support practice dataset</SPAN><SPAN>.</SPAN></P><P><SPAN>[1] Renard, K., Foster, G., Weesies, G., McCool, D., &amp; Yoder, D. (1997). </SPAN><A href="https://www.ars.usda.gov/ARSUserFiles/64080530/RUSLE/AH_703.pdf"><SPAN STYLE="font-style:italic;">Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)</SPAN></A><SPAN>. In Agricultural Handbook No. 703. https://doi.org/DC0-16-048938-5 65–100.</SPAN></P></DIV></DIV></DIV></summary></tool><dataIdInfo><idCitation><resTitle>Calculate soil loss (RUSLE)</resTitle></idCitation><idAbs><DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This tool estimates the annual soil loss (tonnes/ha/yr) using the Revised Universal Soil Loss Equation (RUSLE) [1] approach.</SPAN><SPAN>Before running this tool, run the </SPAN><SPAN STYLE="font-style:italic;">Preprocess data </SPAN><SPAN>tool to run consistency checks and recondition the digital elevation model if required. </SPAN><SPAN>This tool requires the following datasets:</SPAN></P><UL><LI><P><SPAN>Digital Elevation Model</SPAN><SPAN>: from the Preprocess data tool, this DEM can either be the raw input DEM or the reconditioned DEM</SPAN></P></LI><LI><P><SPAN>Soil</SPAN></P></LI><LI><P><SPAN>Land Cover</SPAN></P></LI><LI><P><SPAN>Rainfall erosivity</SPAN></P></LI></UL><P><SPAN>Instructions for which datasets to download and how to acquire </SPAN><SPAN>some globally-accessible land cover, soil, and rainfall erosivity datasets </SPAN><SPAN>can be found </SPAN><A href="https://lucitools.org/luci-online-tutorials/downloading-data-for-the-rusle-tool"><SPAN>here</SPAN></A><SPAN>.</SPAN></P><P><SPAN>This tool also allows the user to input their own datasets for soil erodibility (K-factor) and cover (C-factor) if available or they have made their own parameterisation with their soil or land cover data.</SPAN><SPAN /><SPAN>If the user has made a P-factor dataset for their study area, it can be input in the optional parameter </SPAN><SPAN STYLE="font-style:italic;">P-factor: support practice dataset</SPAN><SPAN>.</SPAN></P><P><SPAN>[1] Renard, K., Foster, G., Weesies, G., McCool, D., &amp; Yoder, D. (1997). </SPAN><A href="https://www.ars.usda.gov/ARSUserFiles/64080530/RUSLE/AH_703.pdf"><SPAN STYLE="font-style:italic;">Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)</SPAN></A><SPAN>. In Agricultural Handbook No. 703. https://doi.org/DC0-16-048938-5 65–100.</SPAN></P></DIV></DIV></DIV></idAbs><searchKeys><keyword>LUCI</keyword><keyword>RUSLE</keyword></searchKeys></dataIdInfo><distInfo><distributor><distorFormat><formatName>ArcToolbox Tool</formatName></distorFormat></distributor></distInfo><mdHrLv><ScopeCd value="005"/></mdHrLv></metadata>