DEM Processing Procedures

 

Introduction

Objectives

Methodology

Analysis

Error Issues

Results

 

The data that we received from Claire Beany came in an unprocessed format and had to be pieced together.  Consequently data had to be resaved without an extension and Header files had to be created for each before they can be opened in ER Mapper.

The first step was to determine which of the thirty-eight Alberta DEM files corresponded to the study area and the order and locations of each piece.  As the file names were named after 1:50,000 UTM maps of Canada, these problems were quickly solved, drastically reducing the number of files from thirty eight to nine.  The selected DEM pieces were then processed into the same format.  Each had a range of elevation values that had to be manually adjusted so that every image had the same minimum and maximum values and the same contrast stretch. 

  In ER Mapper, each image was positioned according to the header file information and adjusted by a few rows and columns to try and create a perfectly matched and seamless DEM cover.  Results were not entirely successful.  More formatting was needed to keep the data unchanged and to correct the obvious gaps between the upper six DEM pieces.  The six unaltered images that were placed above 50°N had to be resampled to the same parameters as the lower three DEM’s below 50°N (2401 pixels by 1201 lines) in order to have the images properly align.  This method was chosen over resampling the three lower DEM’s, where half the data that made up these images would be lost in the procedure.  The DEM’s were then all repositioned to create a completed DEM image of the study area.  The final image is much better and with hill shading, the topography of the region is very clear.

  Once the DEM was complete, the data was converted into a Geotiff (correct settings) and imported into Idrisi32 for our analysis.  The DEM was then subject to a Pit removal analysis to remove any topographic depressions  – or cells that are surrounded by neighboring cells of higher elevations – that may affect the drainage patterns (Burrough, P.A, 1998).    A Runoff analysis function was also done to produce a drainage network.  The module Reclass, in Idrisi 32 was the final touch that produced the drainage network.

See Cartographic Model for DEM Processing