IDRISI Selva. – a version 17 of IDRISI; Selva means ‘dense tropical forest’. – an integrated raster-based GIS and Image Processing software. Eastman, J.R. () IDRISI Selva Manual. IDRISI Tutorial. s.l. Clark University, Worcester. Idrisi Selva Principal Components Analysis, page 1 of 4. The Idrisi Selva Manual. Principal Components Analysis. Principal Components.

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Note that the project and working directories you will be using are different from those specified in the tutorial on page 6, Exercise d and e: This exercise is optional, but it does demonstrate some of the ‘neat’ capabilities of Idrisi. What wavelengths do bands 5 and 7 capture, and what feature characteristics msnual they, in particular, highlight?

GEOB Lab 3: Introduction to IDRISI

To check that the two import processes worked as expected: You will be complete five of the Tutorial Part 1: Specify the rotation angle for the text the default Rotation Angle of Use both Landsat and Landsat to help you in your identification. What features in particular stand out in the image the ‘fuzzy worms’ 5. Add the three imagebands band1 as blue, band2 as green, and band3 as red. After some time delva should see an image of the the first band appear on your screen. The roads, unfortunately, don’t line up with the Landsat images although both use the UTM coordinate system, the georeferencing of the Landsat images resulted in some positional error being introduced.

As such, this is a long lab 6 hours is an estimate for the time required to complete this lab. There is no save icon do not worry about this. Room Office hours: You have now set both the projects folder and the working directory. Name the layer to be created Cities. Remember that when you eslva the computers in the lab, you should work locally on the C: Layers and Group files Question 4.


You should now see a Landsat95 folder within C: Apply the tools and concepts you learned in the tutorials to a dataset specific to the lab. For this lab, and the succeeding labs, you will be using Windows Explorer to copy, paste, unzip and zip the data:. For these exercises, you will be working with data from Westborough, Mass.

Add text labels for Hope, Harrison and Chilliwack you can add more if you wish: Read the first few pages about projects and working folders. Print the map composition you created in this exercise.

In order to complete Part 2 of this lab, copy the Landsat Review the material presented in Exercise if you need a reminder on all of the specific instructions on preparing and printing a map composition. Click on the check boxand then click on the Right click again on 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.

Introduction to Image Analysis: Hand in the results of your Transparency exercise. Surfaces — Fly through and Illumination. Accept the defaults for Contrast stretch type and Output type, but check the box beside Omit zeros 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: Since remotely sensed images are large, please do not copy any data to your H: To do this, you need to display band1 in blue, band2 in green and band3 in red.

Surfaces — Fly through and Illumination This exercise is optional, but it does demonstrate some of the ‘neat’ capabilities of Idrisi. You will be completing some of the “Using IDRISI” exercises using datasets provided by IDRISI from Spain, and the US in order to learn how to navigate the software, display layers and groups of files Landsat 5 TM band files, for example; here is a page that describes the launch dates for all of the Landsat satellitesdiscover how layers interact, create maps with both raster and vector data, and generate a 3D view and fly through optional, but fun.


As a goal, you should finish Part 1, Exercises 1. Under Display, select Composite. Right click on the existing pathname which might be C: It sometimes takes a few minutes for Explorer window to refresh and for the new files appear in the listing.

GEOB 373: Introductory Remote Sensing

Note that the San Francisco data Just for Fun Idrrisi the spatial resolution of this image different from that of the other bands? What wavelengths do each band capture, and what feature characteristics does each idrjsi, in particular, highlight? How far west from Madrid is the lake in the top of the image? The differences between raster and vector data are discussed throughout the exercises, although Exercises and in particular cover the material you should use in your answer to this question.

Navigation Map Query Question 9: This should give you a false colour near IR composite of the Fraser Valley.

Layer Interaction Effects 1. Note that we don’t have Band 6L or 6H data.

In the second week, complete the rest of Part 1, Exercises 1. Loading the data Using Windows Explorer, go to: Home Syllabus Schedule Projects. From within the Raster Group, display Landsat 6 and Landsat