Fire spread through cost path analysis in QGIS GRASS
Contents
Purpose
The purpose of this Wiki tutorial is to demonstrate a potential use of wildfire modeling tools in QGIS GRASS. The objective of this tutorial is to provide instructions on how to use digital elevation models (DEM) and vegetation data for setting up a cost analysis for wildfire spread in a given area. The process demonstrated in this tutorial would be able to be applied to different areas and different datasets.
Introduction
This tutorial will run using GRASS, an open source GIS software, which can be downloaded following the instructions in the next section. GRASS offers a range of tool-sets, including a Wildfire tool-set. This tutorial will run through a basic wildfire spread analysis in the Ottawa-Gatineau area, using some of the tools provided by the Wildfire tool-set.
Materials and Data
GRASS is a free and open source geographic information system. The current stable version of GRASS is 7.2.2 , and can be downloaded as a stand-alone or as a package; we will be downloading it as a stand-alone. GRASS is available for a variety of platforms including Windows, Mac OS, and Linux. Various releases for download can be found at the GRASS website.
Before beginning this tutorial, both the landcover and elevation data were downloaded from Open Canada and then manipulated in ArcMap, prior to being imported into GRASS. These changes included, reducing the size of the data, creating our AOI, creating a custom symbology and customizing the projection in order to successfully import the data into GRASS.
The data required for this tutorial can be downloaded from here.
Make sure this is all downloaded before beginning the tutorial.
Methods
Setting up GRASS
This section will outline set up of the tutorial, preparing the data for manipulation in GRASS.
1. Launch GRASS
Figure 1. shows the setup needed for creating a GRASS project
Before starting the process, a GRASSdata folder is required; create a folder in the directory you want the project to be stored.
2. In the startup window, 'Browse' to and select the GRASSdata folder you created.
3. To select GRASS location, you must first create a new location. Click 'New'and specify your project location. In our tutorial the project location is Ottawa. The rest of the fields are optional.
4. Choosing your method for creating a new location
Figure 2. Defining a new GRASS location
- Select the first method 'Select EPSG code of spatial reference system' and click 'next'. We are using this method because it allows us to match the location to our data's projection.
- In the 'Choose EPSG Code' window, search for the EPSG code: 4269 (NAD83). After selecting this projection, click 'Next'. Another window will pop up, select default option and click 'OK', then finish.
5. In the startup window (Figure 1), Ottawa should now show in the location box. Single click the Location (Ottawa) and the new Mapset (PERMANENT), and click 'Start GRASS session'.
Setting up the Data
1. You should now see the Layer Manager and Map Display windows open.
Figure 3. Pathway for importing raster data
- Import both rasters, as shown in Figure 3.
- In the 'r.in.gdal' window, browse to the downloaded files, and select the "aoi_complete_Project_Polygon2" .tif file. Name the file 'Landcover',and click 'Run'. Repeat this process for the "OttawaDEM_Clip_ProjectRaster" .tif file, and name it 'Elevation'.
- Both layers should now appear in the Layer Manager.
2. The next step is to set the symbology of the 'Landcover' layer. To do this, right click the 'Landcover' layer in the Layer Manager, and select 'Set color table interactively' from the menu.
- In this window, select 'Clear all', and 'Add' twelve category values.
- Assign the twelve categories their respective number and colour based on the table below.
| Landcover type | Number | Colour |
|---|---|---|
| Mixedwood Dense | 1 | 0:128:0 |
| Mixedwood Open | 2 | 0:244:0 |
| Broadleaf Dense | 3 | 0:64:40 |
| Herb | 4 | 128:128:64 |
| Water | 5 | 0:0:255 |
| Coniferous Dense | 6 | 0:47:0 |
| Coniferous Open | 7 | 82:119:26 |
| Shrub | 8 | 128:128:0 |
| Broadleaf Open | 9 | 0:170:0 |
| Wetland | 10 | 64:128:128 |
| Cropland | 11 | 186:186:116 |
| Developed | 12 | 255:128:192 |
3. Now we need to "Set region" under "Computational region" in the "Settings" dropdown menu from the GRASS GUI.
- In the "Set region to match raster map(s):" drop down, select the 'Landcover' layer.
Your land cover symbology should look similar to this example below.
Figure 4. Landcover map output
Data Processing
Reclassify
This step is required to set up the data for the rate of spread tool in GRASS. This step reclassifies the landcover types into their hypothetical moisture values.
1. Navigate to r.reclass in the Raster dropdown menu, in the "Change category values and labels" tab.
Figure 5. Reclass window
2. Select the 'Landcover' layer as your "Name of raster map to be reclassified:". Name the output as moisture_reclass.
3. The next step requires a set of rules. The rules are required to set the parameters for the reclassification. This can be done in a text file, as shown in Figure 6.
Figure 6. Text document showing the rules
- The rules set the reclassification to specified numbers. In Figure 5, the 1-12 represents the different landcover types you classified in the above step. The numbers in the right column represent arbitrary values of moisture levels based on the given landcover.
This step creates a new layer.
4. Right click the layer you created and go to the "Set color table interactively" tab.
Figure 7. Colour Table for reclassed layer
- Reduce the amount of category values to 12, and assign the moisture values from the rules text file. This is a similar process to the classification done above.
- Moisture levels that are the same will produce the same colour on the "Map Display".
Raster Calculator
1. Open the "Raster map calculator" in the "Raster" drop down menu.
Figure 8. Raster calculator window
2. Name your output map, and insert the elevation and moisture layers as seen in Figure 8.
