Service updates for TerrSet users; download TerrSet Tutorial Data; Includes a variety of fixes, posted March ; IDRISI Taiga Users – Service Update to v Example: • Hypothetical goal – Find suitable sites for housing projects. • Factors – distance to city center; distance to road; and slope (no. The IDRISI software (launched from Start / All Programs / IDRISI Selva; click on IDRISI Selva). The IDRISI tutorial and the associated data sets. The tutorial (PDF) .
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You may not need to save your work if you answer the questions as you go. When you use the Ortho tool, you are creating an orthographic image. Add text labels for Hope, Harrison and Chilliwack you can add more if you wish: To do this, use the Print option on the composer menu and ensure that you send your image to the taiba colour printer.
What wavelengths do bands 5 and 7 capture, and what feature characteristics do they, in particular, highlight? Double-click on the zip file Landsat In the Explorer window, click on Files and you should see all 7 bands listed.
Repeat this process for the 6 remaining bands. As a goal, you should finish Part 1, Exercises 1. Layers and Group files Question 4. Browse for the Roads file it should be the only choice.
The roads should appear overlaid on the Landsat image. What is ordinal, or ranked, data? REF The Landsat images have been georeferenced to a UTM [zone 10, North] coordinate system, so if we assign the same georeference system to tutoriap roads [knowing that roads had previously been projected to a UTM coordinate system within ArcGIS], the roads and the Landsat images will be geographically referenced together.
You will first import the Landsat data. It sometimes takes a few minutes for Explorer window to refresh and for the new files appear in the listing. You can access the tutorial from C: Accept the other defaults, and click on OK. Note that this term differs from orthophoto.
Then, click on the Group Link button and zoom into the band 6 image; you should then also zoom into the same area in the Landsat image. Using Landsat data of the Fraser Valley For this part of the lab you will take what you learned in the tutorials, and apply it to a local dataset: In order to complete Part 2 of this lab, copy the Landsat Under Display, select Composite. What does NDVI stand for? Specify the rotation angle for the text the default Rotation Angle of Use the shape of the lake to help identify the specific lake [it is actually a reservoir–could you deduce this from the satellite image?
Right click on the existing projects folder and select Change projects folder. If you are finished, print your map composition using the Print command in the Map Composer.
GEOB Lab 3: Introduction to IDRISI
Click on Projects tab in the Idrisi Explorer window. Add the vector layer roads as above recall: In the IDRISI tutorial the first convention ordered by increasing wavelength was followed as discussed in footnote 19 on page 27 of the Tutorialso we shall follow that convention in our labs. Hand in the results of your Transparency exercise. Fraser Valley, [True colour image of Landsat bands 1, 2, 3] After the composite image appears, close the window and re-display the composite image using the Display Tutoial so that the title appears at the top of the window.
Zoom into the area just southeast of Chilliwack where Hwy 1 runs more or less due east-west, and use the Measure tool to determine how far off in a north-south direction only the vector roads are from the roads as imaged in the Landsat images. Note that the project and working directories you will tutoriial using are different from those specified in the tutorial on page 6, Exercise d and e: There is no save icon do not worry about this.
You have now idrisu both the projects folder and the working directory. Given the length of this lab, you taiiga budget your time accordingly. The roads, unfortunately, don’t line up with the Landsat images although both use the Odrisi coordinate system, the georeferencing of the Landsat images resulted in some positional error being introduced.
GEOB 373: Introductory Remote Sensing
Use Google Earth and Google Maps link to the map to familiarize yourself with the area. Print your band 6 image. The first thing to do is to create a True Colour composite image.
You will then import some Landsat data of the Fraser Valley and answer some questions pertaining to that dataset. After some time you should see an image of the the first band appear on your screen.
In the second week, complete the rest of Tutoria 1, Exercises 1. Add the three imagebands band1 as blue, band2 as green, and band3 as red. Print the map composition you created in this exercise. Note that the San Francisco data Just for Fun What features in particular stand out in the image the ‘fuzzy worms’ 5. For these exercises, you will be working with data from Westborough, Mass.
Loading the tutoiral Using Windows Explorer, go to: Apply the tools and concepts you learned in the tutorials to a dataset specific to the lab. The data for the labs should be loaded into C: Right click on the existing pathname which might be C: Set the map scale RF toomitting the comma when specifying the scale; right-mouse clicking within the image allows you to specify the map scale.
Surfaces — Fly through and Illumination This exercise is optional, but it does demonstrate some of the ‘neat’ capabilities of Idrisi. If you click on the Files tab you should see a list of the files stored in the Using Idrisi directory.