Friday, 20 January 2012

Assignment 1 for GEOG 4440, or Remote Sensing Remote Sensing and Image Processing for Geographical Analysis and Environmental Monitoring... was an interesting one. In ths assignment I have pulled up two different satellite images of two different cities, Washngton D.C., DC and Canmore, Alberta, to compare and contrast what cities built on flat and managabe terrain look like and what cities built in mountainous and difficult terrain look like. I am also going to take a look at limitations of growth when the natural barriers, like the Rocky Mountains, is a huge factor.


To obtain the maps I used the Global Land Cover Facility database for my map sources. I searched for Washington D.C., DC in the United States. I then chose to use Landsat Imagery, TM because the files would be smaller and much more convenient to store; I was also more familiar with working with this form of imagery. I then picked a file to download and extracted the zipped file, in order for it to be used in PCI Geomatica. This is the resulted image of Washington D.C. I repeated the same process, and chose Banff National Park as my area of focus.

Image 1) I will use Washington DC as my example for the process of obtainign data. On the Global Land Cover Facility database, I used the “place” tab in order to do a queary and get results specifically for the city of Washington in the Distrct of Columbia. I chose Thematic Mapper as my satellite source because the files were relatively easy to download and upload and access metadata from.


Image 2) This is the data and as is shown, one of the layer files is highlighted for download, and was repeated for all of the bands.



Image 3) Once the file was downloaded I used a universal extracter to unzip the file so it would actually be usable on PCI Geomatica.


Image 4) The band file was uploaded in Pci Geomatica and works!

Image 5) Just to show an uploaded band image of Banff national Park after one of the band files was downloaded.

Image 6) Eporting image to Google Earth in order to make a Global Locator Map.


Image 7) The Results.


Image 8) Performing a Linear enhancement on Band 1 of the image of Washington D.C.


Image 9) Add pseudocolour layer to each band to see what sort of results will occur.

Image 10) The results of all seven layers, which will be analyzed later on.


Image 11) Performing a Linear enhancement on Band 1 of the image of Banff National.


Image 12) Performing a Root Enhancement on image of Banff to compare with the Linear enhancement done previously


Image 13) Finding histograms of bands in image of Washington D.C. Performing histogram inquiry on band 1.Repeated for all layers. Repeated for image of Banff.

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