Difference between revisions of "Fire spread through cost path analysis in QGIS GRASS"

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=== Data and available platforms ===
 
=== Data and available platforms ===
RASS 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 [https://grass.osgeo.org/download/software/ms-windows/ GRASS website].
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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 [https://grass.osgeo.org/download/software/ms-windows/ GRASS website].
   
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We will be starting with two sets of data that were manipulated to be used for this tutorial. The first is a digital elevation model (DEM), and the second is a land-cover type raster. DEMs can be used for many types of analysis, including hydrological or oceanography applications. In our case we will be using it to create wildfire spread analysis, by demonstrating cost paths in GRASS. Land-cover is important to model the spread of fire, and so a raster was created to represent the land-cover of the Ottawa region. The data can be downloaded from [LINK-HERE this location].
Digital elevation models (DEM) are used for hydrological analyses. DEMs can be generated using point data sets from elevation data or from aerial imagery using remotely sensed data [http://gracilis.carleton.ca/CUOSGwiki/index.php/Exploring_the_Hydrological_Tools_in_QGIS#Literature_Cited (NRCAN, 2013)]. Downloading a point data set would generally require interpolation of the data to create a DEM. Interpolation of a DEM will not be discussed in this tutorial. Instead, we will explore the hydrological toolset using a DEM that has previously been interpolated.
 
 
A DEM of the southeastern quadrant of the outskirts of Ottawa, Ontario was used for the purpose of this tutorial. Data were obtained from the [https://library.carleton.ca/find/gis GIS Library of Carleton University] using a 3-dimensional raster data set from the Ontario Ministry of Natural Resources. The data capture terrain elevations and cover the province of Ontario with a cell resolution of 30 cm.
 
 
Additional data sources can be found from [http://www.nrcan.gc.ca/home Natural Resources Canada], [https://www.nrcan.gc.ca/earth-sciences/geography/topographic-information/free-data-geogratis/11042 Geogratis] and from the [https://www.ontario.ca/ministry-natural-resources-and-forestry Ontario Ministry of Natural Resources.]
 
   
 
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Revision as of 14:18, 19 December 2017

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 analyses 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

Materials and methods

Data and available platforms

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.

We will be starting with two sets of data that were manipulated to be used for this tutorial. The first is a digital elevation model (DEM), and the second is a land-cover type raster. DEMs can be used for many types of analysis, including hydrological or oceanography applications. In our case we will be using it to create wildfire spread analysis, by demonstrating cost paths in GRASS. Land-cover is important to model the spread of fire, and so a raster was created to represent the land-cover of the Ottawa region. The data can be downloaded from [LINK-HERE this location].