User:Abenk - Revision history

Abenk: Blanked the page

2019-12-23T02:03:11Z

Blanked the page

Abenk: Replaced content with " type=create width=100 break=no buttonlabel=Create new article default=(Automating the Calculation of USLE with GISus-M) "

2019-12-23T02:00:13Z

Replaced content with "<inputbox> type=create width=100 break=no buttonlabel=Create new article default=(Automating the Calculation of USLE with GISus-M) </inputbox>"

Abenk: /* Automatically Calculating USLE using GISus-M */

2019-12-23T01:57:20Z

Automatically Calculating USLE using GISus-M

Abenk at 01:56, 23 December 2019

2019-12-23T01:56:39Z

Abenk: /* Final Calculation */

2019-12-23T01:55:13Z

Final Calculation

Abenk at 19:37, 22 December 2019

2019-12-22T19:37:43Z

Abenk: /* Automatically Calculating USLE using GISus-M */

2019-12-22T18:03:18Z

Automatically Calculating USLE using GISus-M

Abenk at 17:37, 22 December 2019

2019-12-22T17:37:46Z

Abenk: /* Automatically Calculating USLE using GISus-M */

2019-12-22T17:16:52Z

Automatically Calculating USLE using GISus-M

Abenk at 17:08, 22 December 2019

2019-12-22T17:08:06Z

@@ Line 1: / Line 1: @@
+<inputbox>
+type=create
-=Summary=
+width=100
-==What is USLE==
+break=no
-The Universal Soil Loss Equation (USLE) allows one to calculate the long-term average soil erosion rates for mainly agricultural lands.  When calculating the USLE, five major factors must be taken into consideration:
+buttonlabel=Create new article
+default=(Automating the Calculation of USLE with GISus-M)
-A = R * K * LS * C * P
+</inputbox>
-Where:
-   A is the potential long-term erosion rate in tonnes per hectare
-   R is the rainfall run off factor
-   K is the soil erodibility factor
-   LS is the slope length-gradient factor
-   C is the crop factor
-   P is the conservation practices factor
-Classically, the LS factor was estimated by hand, with complex slopes being broken down into segments.  However with the advent of high-resolution open source data, such as South-Western Ontario Orothophotography (SWOOP), LS factor can be calculated through computational means.  SWOOP 2010 has a resolution of 20cm and a horizontal accuracy of 50cm, and as such is suitable for calculating the USLE.
-==Study Area==
-A study area in Oxford county was selected with severe dendritic drainage apparent.  No sediment control structures such as WASCoBs or grassed waterways were visibly present in the aerial photo.  Within the field, there is an approximate 22 metre elevation delta, and the soil type is considered to be a sandy clay loam.  As the study area is in Oxford county, the R factor is 100.
-<gallery widths = 300px height = 300 px mode = "slideshow">
-Image:1.PNG|Field of study outlined in red
-Image:Abenk3.PNG|Elevation of the study area
-The following values are used in calculating the USLE:
-</gallery>
-{| class="wikitable"
-|+USLE Factors
-|-
-|R Factor
-|100
-|-
-|K Factor
-|0.45
-|-
-|LS Factor
-|To be calculated
-|-
-|C Factor
-|0.3
-|-
-|P Factor
-|Varied
-|}
-Constant rasters were created for the R, K, C, and P values for the purpose of this tutorial.
-=GISus-M=
-[[File:2.PNG|500px|thumb|right|Exampe of the GUI of GISus-M]]
-GISus-M was created by the Universidade Federal do Reconcavo da Bahia, and is an add-in for ArcMap that is written in C#.  To use the add-in, the user must run the ESRIADDIN file that is contained in the .rar archive.  To run GISus-M in ArcMap, one must have prepared all the requisite files for calculating USLE, namely, a raster representing the R, K, LS, and C factors - the P factor is optional and can be included with the C factor.
-==Calculating the LS Factor==
-[[File:Abenk4.PNG|250px|thumb|left|LS Factor Calculation]] GISus-M has a built-in tool that allows the user to calculate the LS factor of their desired DEM.  For this example, the LS factor was calculated using the RUSLE model and multi-flow direction.  If one wants to increase the accuracy of the LS model, one can use the Breach Depressions tool using WhiteBoxGAT.
-==Calculating the C Factor==
-There are three main ways to calculate the C factor for processing: calculate your own NDVI, use the built-in tools to calculate NDVI, and create a raster that has the cover-crop and tillage methods for the sections of the field.  For regions that mirror an European climate, using the Cvk method with an alpha of 2 and beta of 1 will give reasonable results. If running the tool in more tropical regions, use the Cr method with likewise alpha and beta values.
-==Final Calculation==
-Once the the data is prepossessed for GISus-M to run, one selects the output raster size then run the tool.  The resulting output from the tool is in GRID format, and the raster values are in tonnes per hectare per year.  Due to the spatial extent of the output being in hectares, one must convert the values from hectacres to whichever spatial resolution one is working at.
-=References=
-http://www.omafra.gov.on.ca/english/engineer/facts/12-051.htm
-https://www2.ufrb.edu.br/gisus-m/

@@ Line 1: / Line 1: @@
-=Automatically Calculating USLE using GISus-M=
+=Summary=
 ==What is USLE==
 The Universal Soil Loss Equation (USLE) allows one to calculate the long-term average soil erosion rates for mainly agricultural lands.  When calculating the USLE, five major factors must be taken into consideration:

@@ Line 62: / Line 62: @@
 Once the the data is prepossessed for GISus-M to run, one selects the output raster size then run the tool.  The resulting output from the tool is in GRID format, and the raster values are in tonnes per hectare per year.  Due to the spatial extent of the output being in hectares, one must convert the values from hectacres to whichever spatial resolution one is working at.
+=References=
+http://www.omafra.gov.on.ca/english/engineer/facts/12-051.htm
+https://www2.ufrb.edu.br/gisus-m/

← Older revision		Revision as of 01:55, 23 December 2019
Line 61:		Line 61:
	==Final Calculation==		==Final Calculation==

	Once the the data is prepossessed for GISus-M to run, one selects the output raster size then run the tool. The resulting output from the tool is in GRID format		Once the the data is prepossessed for GISus-M to run, one selects the output raster size then run the tool. The resulting output from the tool is in GRID format, and the raster values are in tonnes per hectare per year. Due to the spatial extent of the output being in hectares, one must convert the values from hectacres to whichever spatial resolution one is working at.

@@ Line 58: / Line 58: @@
 ==Calculating the C Factor==
-There are three main ways to calculate the C factor for processing: calculate your own NDVI, use the built-in tools to calculate NDVI, and create a raster that has the cover-crop and tillage methods for the sections of the field.
+There are three main ways to calculate the C factor for processing: calculate your own NDVI, use the built-in tools to calculate NDVI, and create a raster that has the cover-crop and tillage methods for the sections of the field.  For regions that mirror an European climate, using the Cvk method with an alpha of 2 and beta of 1 will give reasonable results. If running the tool in more tropical regions, use the Cr method with likewise alpha and beta values.
+==Final Calculation==
+Once the the data is prepossessed for GISus-M to run, one selects the output raster size then run the tool.  The resulting output from the tool is in GRID format

← Older revision		Revision as of 17:16, 22 December 2019
Line 1:		Line 1:
	==Automatically Calculating USLE using GISus-M==		[[File:Example.jpg]]==Automatically Calculating USLE using GISus-M==

	=What is USLE=		=What is USLE=

@@ Line 24: / Line 24: @@
 =GISus-M=
 GISus-M was created by the Universidade Federal do Reconcavo da Bahia, and is an add-in for ArcMap that is written in C#.  To use the add-in, the user must run the ESRIADDIN file that is contained in the .rar archive.  To run GISus-M in ArcMap, one must have prepared all the requisite files for calculating USLE, namely, a raster representing the R, K, LS, and C factors - the P factor is optional and can be included with the C factor.
-[[File:2.png|200px|thumb|left|Exampe of the GUI of GISus-M]]
+[[File:2.PNG|200px|thumb|left|Exampe of the GUI of GISus-M]]