Difference between revisions of "Interpolating a surface and determining overland flow distance via qGIS and SAGA GIS"

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The project can be divided into two steps: performing the surface interpolation in qGIS and using that produced DEM to determine the overland flow distance in SAGA GIS.
 
The project can be divided into two steps: performing the surface interpolation in qGIS and using that produced DEM to determine the overland flow distance in SAGA GIS.
 
===Surface Interpolation in qGIS===
 
===Surface Interpolation in qGIS===
Having acquired the data, the elevation points were brought into qGIS via the add delimited text layer tool found under the “layer” tab on the taskbar.
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Having acquired the data, the elevation points should be brought into qGIS via the add delimited text layer tool found under the “layer” tab on the taskbar.
   
 
<center>[[Image:bot1.jpg]]</center>
 
<center>[[Image:bot1.jpg]]</center>
  +
  +
Once you are in the add delimited text layer, simply name the layer as you see fit and toggle on the specifications of the input data table so that it displays properly at the bottom of the screen, as in the following picture:
  +
  +
<center>[[Image:bot2.jpg]]</center>
  +
  +
You will now have a blob of points the size of your study area. In order to make these points into an interpolated surface we must use the "interpolation" tool under the raster tab, as follows
  +
  +
<center>[[Image:bot3.jpg]]</center>
  +
   
 
===Determining Overland Flow Distance in SAGA GIS===
 
===Determining Overland Flow Distance in SAGA GIS===

Revision as of 13:38, 22 December 2013

Purpose

The purpose of this wiki is to introduce users to the cross functionality of open source software. It is intended to show how a user can take raw elevation data and create a usable GIS product within a short time period, as to realize geographic phenomena in real world situations such as a spill mitigation scenario.

Introduction

The direction of this project is to show how free and open source software for geospatial applications (FOSS4G) can be implemented as an alternative and in some cases an enhancement to licensed products such as IDRISI and ESRI's ArcMap. To portray this both qGIS and SAGA GIS will be used. The purpose for using two programs is due to ease of use. Where qGIS allows for easy operations to be performed in a somewhat familiar GUI, it does not account for more in depth applications such as flow direction of liquids and the distance they must travel before entering a major tributary. Thus, this tutorial aims to show how to take vector elevation data and transform it to a raster surface which is conducive to modelling and extrapolation.

Software Download and Data Gathering

To download the necessary programs for the purpose of this tutorial, click the following link for the qGIS download portal[1], as well as this link for SAGA GIS's download portal[2]. Upon downloading and installing the correct version as it corresponds to your computer, the next step is to find suitable data for analyzing the area of study. Among many sources, elevation data for Canadian areas can be found easily through such outlets as GeoBase at the following link [3] or GeoGratis at this link [4].

Methods

The project can be divided into two steps: performing the surface interpolation in qGIS and using that produced DEM to determine the overland flow distance in SAGA GIS.

Surface Interpolation in qGIS

Having acquired the data, the elevation points should be brought into qGIS via the add delimited text layer tool found under the “layer” tab on the taskbar.

Bot1.jpg

Once you are in the add delimited text layer, simply name the layer as you see fit and toggle on the specifications of the input data table so that it displays properly at the bottom of the screen, as in the following picture:

Bot2.jpg

You will now have a blob of points the size of your study area. In order to make these points into an interpolated surface we must use the "interpolation" tool under the raster tab, as follows

Bot3.jpg


Determining Overland Flow Distance in SAGA GIS

How to do part 2

Conclusions

Due to the relatively low accuracy of the data provided, the results can be interpreted visually from the example provided but not quantitatively. However, this tutorial can be recreated with high resolution LiDAR data given the appropriate time and financial allowances to achieve a much more accurate, analyzable result. The purpose of this wiki was to introduce the user to the interoperability between the two programs and the possibilities each program holds.