Improving Crop Yield Using GIS
Ryan T. Christensen
Graduate Student in Civil Engineering
GIS in Water Resources
Fall, 2006
Table of Contents
Creation of the New Shapefiles
Preparation for Using the Downslope Influence Function
Hardware
Ranch is a wildlife management unit located approximately 15 miles east of
Figure 1: Elk at Hardware Ranch
Source:
The elk are fed hay which is grown during the summer in two meadows near the near the ranch visitor’s center. Hardware Ranch offers sleigh rides to the public during the winter months which present an excellent opportunity to view elk up close.
Elk need a lot of food during the winter because of the cold
temperatures. As an example, the elk
herd at
Figure 2: Feeding of elk at Hardware Ranch
Source:
In past years, the hay grown at Hardware Ranch has generally been sufficient to feed the elk throughout the winter. However, hay yield has been declining for the past three years. This year, hay was bought in order to supplement the hay grown on-site. The decline in hay yield has been primarily attributed to the irrigation practices at Hardware Ranch.
Three specific problems have been identified:
1. High points in the two meadows used for growing hay
2. Poor ditch conditions
3. Lack of irrigation planning
The meadows at Hardware Ranch are flood irrigated. High points in the meadows would make uniform irrigation impossible without special considerations. The irrigation ditches at Hardware Ranch are in poor condition. Previously, there had been ditches throughout the interior of the upper meadow that helped irrigate more uniformly. These ditches have fallen into disrepair and are no longer used. Two primary ditches are currently used for irrigation of the upper meadow (Figure 3).
Figure 3: Map of upper meadow and ditches
Lack of irrigation planning has also adversely affected the hay yield at Hardware Ranch. In past years there were seasonal employees at Hardware Ranch that focused specifically on irrigation. The lack of a formal irrigation plan was overcome by investing a lot of time in irrigating. Implementation of a carefully developed plan would help optimize yield with minimal time spent irrigating.
The principal focus of this paper is to describe the analysis of the flow of water through the upper meadow. The analysis of flow through the upper meadow will be performed using ArcMap with the TauDEM toolbar plug-in.
The first objective is to identify the areas of Hardware Ranch that presently cannot be irrigated. After determining the areas that are not presently being watered, alternatives will be considered for getting water to the unirrigated land. Possibilities that will be considered include adding more irrigation culverts along the ditches and adding simplified network of ditches in the interior of the upper meadow. An irrigation plan will not be formulated at this time although suggestions will be presented on how to proceed with creating a plan.
“Drainage flows downhill” (Maidment,
2002). One of the simplest ideas in
hydrology is that water flows downhill.
This fundamental principle allows the delineation of watersheds using
only elevation information. While
irrigation is an artificial substitute for the natural processes that cause
water to flow over the surface of the earth, the idea of water flowing downhill
is still very applicable. After
reviewing the needs of the project, it was determined that the downslope
influence function of TauDEM would be used in order to determine the efficiency
of the current layout of irrigation water sources in the upper meadow of
Hardware Ranch. TauDEM is an acronym for
Terrain Analysis Using Digital Elevation Models and was developed by Dr. Tarboton of
Figure 4: TauDEM flow directions
Source:
Tarboton,
2005
The downslope influence function is used by combining the D∞ flow direction grid with a disturbance grid. In this study the disturbance grid represents the sources of irrigation water for the upper meadow of Hardware Ranch. Figure 5 illustrates how the D∞ flow direction grid and the disturbance grid are combined to determine downslope influence. The grid cell outlined with a red box represents a source in the disturbance grid. It can be seen the value of ‘1’ in the disturbance grid is proportioned according the D∞ flow direction grid.
Figure 5: TauDEM downslope influence function progression
Source:
Tarboton
2005
It is important to note that while irrigation shares many similarities with natural drainage processes there are also some very important differences. One of the most important differences lies in the mode of delivery. The natural process for the delivery of water to the earth’s surface is rain. Compared to the irrigation sources considered in this study, rain differs in that it is delivered over a much larger area and then collects to form streams and rivers. The irrigation point sources supply water at a single point. The water then spreads out over the land before collecting once more. Because of these differences the results of this study should be applied with caution.
The digital elevation model (DEM) was obtained from the Utah Automated Geographic Reference Center (AGRC). This DEM was chosen for its 10-m grid cell resolution (AGRC 2006). There was no GIS data available that contained shapefiles for the upper meadow of Hardware Ranch. Similarly, the ditches and irrigation culverts were also not available from any GIS database. In order to obtain the necessary data, GPS survey equipment was used to obtain coordinates for the points of interest. In all, 130 points were surveyed at Hardware Ranch. Several different types of features were surveyed. First, the boundaries of the upper meadow were surveyed in order to know its extents. The primary irrigation ditches were surveyed in order to determine their location in relation to the upper meadow. Finally, the small culverts used to provide irrigation water sources for the meadow were surveyed in order to use their locations to create a shapefile of irrigation water sources.
The DEM was downloaded from the AGRC website and converted to raster using the ‘DEM to Raster’ tool. The raster was then added to ArcMap using the ‘add data’ function. There were several steps in importing the GPS survey data. First, the survey data was downloaded from the data collector and inserted into a spreadsheet. Next, it was necessary to convert the degrees-minutes-seconds data to decimal degrees with four digits to the right of the decimal point. After the data preparation, the survey points were imported into ArcMap using the ‘Add X-Y Data’ function. At this point it was necessary to specify the spatial reference of the data, which was WGS 1984. A visual inspection revealed that the points were in the correct location.
The survey data was used to create shapefiles for the upper meadow boundary, irrigation ditches, and the irrigation water sources. Each of the shapefiles was created by creating a new shapefile and then adding new features to the shapefile using the ‘Editor Toolbar’ in ArcMap. Figure 6 is an illustration of the shapefiles overlaying the survey points.
Figure 6: Illustration of the shapefiles created from survey points
Area and perimeter were calculated for the meadow boundary shapefile and length was calculated for each of the irrigation ditch shapefiles.
The TauDEM downslope influence function requires two inputs: a D∞ flow direction grid and a disturbance grid. The D∞ flow direction grid was obtained by performing the TauDEM ‘Basic Grid Analysis’. For this study the disturbance grid was used to indicate the location of irrigation water sources. The grid cells representing irrigation water sources were required to have a value of ‘1’ and the value for all other grid cells were required to be ‘0’. The input disturbance grid was obtained by manipulating the point shapefile of irrigation water sources. The first step was to create a new field in the attribute table of the irrigation water sources shapefile. All values in the new field were set to ‘1’. Next, the shapefile was converted to a grid being careful to set the value field for the new grid to the field of 1’s just created in the irrigation water sources shapefile. It was also important to set the extent of the new grid equal to the extent of the D∞ flow direction grid. The final step in creating the disturbance grid was to reclassify the ‘no value’ grid cells of the newly created grid to value = ‘0’. The downslope influence was then calculated using the disturbance grid and D∞ flow direction grid. This process was repeated using the irrigation ditch polyline shapefile to create a new disturbance grid. This modification had the affect of using the two ditches as line sources for irrigation water.
It was necessary to crop downslope influence grids in order to use the grid values in analyzing the upper meadow. This was done through the use of the raster calculator. When rasters with different extents are added together the resulting raster has the same extent as the smaller of the two rasters. One of the disadvantages in using this method to crop rasters is that interpolation of the grid cells will occur if the grid cells of each grid are not aligned. In order to perform the raster calculation, the shapefile of the upper meadow boundary was converted to a grid with the value for each grid cell equal to ‘0’. Adding the newly formed grid to the downslope influence grid resulted in a downslope influence map cropped to the shape of the upper meadow. The final step in preparing the data was to discretize the grid values by using the reclassify tool. This enabled the use of the attribute table by reducing the number of entries in the table. The number of cells with zero downslope influence was then compared to the total number of grid cells and the percentage of grid cells with zero downslope influence was calculated. Figure 7 is an illustration of the process of data manipulation.
Figure 7: Process of data manipulation (results shown were using point)
Creating shapefiles of the GIS information allowed calculation of several geometric attributes. The area of the upper meadow was found to be 329,000-m2 (81.3 acres). The perimeter of the meadow was calculated to be 3.08-km (1.91 miles). The two primary irrigation ditches were found to have lengths of 1.5-km (0.92 miles) and 0.21 km (0.13 miles). A total of 20 points were inputted as irrigation point sources.
The discretized map of downslope influence using the irrigation culverts as point sources is shown in Figure 8. The purple areas have the highest downslope influence and the orange areas the lowest downstream inflence.
Figure 8: Discretized downslope inflence
Figure 9 is a map of the discretized downslope influence using the irrigation ditches as line sources. As in the previous map, the purple areas have the highest downslope influence and the orange areas have the lowest downslope influence.
Figure 9: Discretized downslope influence using line sources
Table 1 is a summary of the downslope influence results.
Table 1: Summary of downslope influence
Case |
Total Grid Cells |
Grid Cells with Downslope Influence
Equal to '0' |
Area with Downslope Influence
equal to '0' (m2) |
Percentage of Area with Downslope
Influence equal to '0' |
Point Sources |
3290 |
1081 |
108,100 |
32.9% |
Line Sources |
3290 |
562 |
56,200 |
17.1% |
It can be seen that the analysis using the irrigation culverts as point sources predicted 32.9% of the total ranch area would not be irrigated by water flowing from the irrigation culverts. Using the irrigation ditches as lines sources increased the area of irrigated land but still left 17.1% unirrigated.
The analysis indicates that approximately 17% of the total ranch area that is not currently irrigated could be irrigated by adding more irrigation points along the two ditches. The area of the ranch with zero downslope influence decreased by 51,900-m2 by using the ditches as line sources for irrigation water as opposed to using the culverts as point sources. This represents a decrease of nearly 50% in unirrigated area. Using the irrigation ditches as line sources represents the maximum amount of land that could be irrigated in the upper meadow by adding more irrigation points along the ditches.
Consideration of the DEM indicated that contrary to previous beliefs, high points in the upper meadow did not significantly reduce the area of irrigated land. Slope was found to by the limiting factor rather than elevation. The dry areas did not receive water because the slope of the meadow resulted in water flow over different areas. With that finding, two options were considered for further increasing the area of irrigated land in the upper meadow of Hardware Ranch. The first option was explored by adding an additional irrigation point source as shown in Figure 10.
Figure 10: Altered disturbance grid (shown in red) with downslope influence grid (point source)
Figure 11 is a map of the discretized downslope influence calculated using the new disturbance grid.
Figure 11: Discretized downslope influence using new point source disturbance grid
After adding the new irrigation point it was found that the area of unirrigated land in the upper meadow decreased to 86,500-m2, a decrease of 21,600-m2 as compared to the original results using point sources for irrigation. The results of this solution could be obtained by adding a ditch or pipe that would transport water to the location where the irrigation point was added. The percentage of the total area of the upper meadow with zero downslope influence for this case is 26%.
A similar analysis was performed using the disturbance grid formed using the ditch polyline shapefile.
Figure 12: Altered disturbance grid (shown in green) with downslope influence grid (line source)
Figure 13 is a map of the discretized downslope influence calculated using the new disturbance grid.
Figure 13: Discretized downslope influence using line source disturbance grid
Adding the new irrigation line source decreased the unirrigated area to 30,500-m2, a decrease of 25,700-m2 as compared to the original results using line sources for irrigation. This solution could be obtained by adding a ditch or pipe to transport water to the location where the line source was added and adding a device for diffusing the water at that location. The percentage of the total area of the upper meadow with zero downslope influence for this case is 9.3%.
The final large region of the upper meadow without water is shown in Figure 14. No easy solution for irrigating this area of the meadow has been identified. This area is raised in elevation and would require substantial expansion of the irrigation ditch netork. Because digging new ditches was considered cost prohibitive, this option was not analyzed.
Figure 14: Final large region with no water
The largest area of irrigated land was added by considering
the irrigation ditches as line sources.
Using the line sources decreased the unirrigated land in the upper
meadow of Hardware Ranch by nearly 50%.
Additional land could be irrigated by using a ditch or pipe to transport
water to the interior of the meadow. An
additional source of water placed at the head of the large section of
unirrigated land in the interior of the meadow could further decrease the area
of unirrigated land by over 20,000-m2. Finally, no easy solution for irrigating the
section of unirrigated land along the western edge of the meadow was
identified.
There are two primary subjects of particular interest for further research: the accuracy of the downslope influence function in predicting irrigated land and the development of an irrigation plan. The accuracy of the downslope influence function could be determined by performing testing in the meadow. Surveying the areas of land irrigated by specific irrigation culverts and comparing the survey results to the areas predicted by the downslope influence function would give a good basis for determining the accuracy of the downslope influence function. One option for developing an irrigation plan is to consider the respective areas irrigated by each irrigation culvert. A plan could then be developed by weighting the time of irrigation at each culvert based on the area for which each culvert provides water.
Arc Hydro: GIS for Water Resources. (2002). D. R. Maidment ed., ESRI Press, Redland, Ca.
Tarboton, D. G. (2005). “Terrain Analysis Using Digital Elevation Models (TauDEM).” <http://hydrology.neng.usu.edu/taudem/> (Dec. 2, 2006)