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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The goal of this lab is to give you the foundations for working with IDRISI, the image processing program that you will be using in all of your subsequent labs, and for your final project. As such, this is a long lab 6 hours is an estimate for the time required to complete this lab.

However, remember that with this experience you can put down in your resume that you have some working knowledge of image processing. Given the length of this lab, you should budget your time accordingly.

As a goal, you should finish Part 1, Exercises 1. In the second week, complete the rest of Part 1, Exercises 1. Note that Exercises 1. During this lab, and for the remaining labs and in your projectyou will be working with the image processing software program called IDRISI.

GEOB Lab 3: Introduction to IDRISI

In completing this and the next three labs Lab 3: Introduction to Image Analysis: Supervised Image Classification and Lab 6: Apply the tools and concepts you learned in the tutorials to a dataset specific to the lab. Remember that when you use the computers in the lab, you should work locally on the C: The data for the labs should be loaded into Manua, Since remotely sensed images are large, please do not copy any data to your H: 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.

You will be complete five of the Tutorial Part 1: You will then import some Landsat data of the Fraser Valley and answer some questions pertaining to that dataset. For this lab, and the succeeding labs, you will be using Windows Explorer to copy, paste, unzip idriei zip the data:. Read the first few pages about projects and working folders. Note that mamual project and working directories you will be using are different from those specified in the tutorial on page 6, Exercise d and e: 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.

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What wavelengths do each band capture, and what feature characteristics does each band, in particular, highlight? When you use the Ortho tool, you are creating an orthographic image.

GEOB 373: Introductory Remote Sensing

Note that this term differs from orthophoto. This dataset is from Spain. Use Google Earth and Google Maps link to the map to familiarize yourself with the area.

How far west from Madrid is the lake in the top of the image? Use the shape of the lake to help identify the specific lake [it is actually a reservoir–could manaul deduce this from the satellite image?

What is the name of the lake use Google Maps? What does NDVI stand for? Why is it used i. What manuql the formula i. Define, with examples, qualitative and quantitative data. What is ordinal, or ranked, data? Hand in the results of your Transparency exercise. To do this, use the Print option on the composer menu and ensure that you send your image to the appropriate colour printer.

What wavelengths do bands 5 and 7 capture, and what feature characteristics do they, in particular, highlight? Surfaces — Fly through and Illumination. This exercise is optional, but it does demonstrate some of the ‘neat’ capabilities of Idrisi.

View the online tutorial. Note that the San Francisco data Just for Fun Do these values correspond to the digital numbers for the pixels in bands 2, 3 and 4? You can determine this from the Feature Properties box.

What is the elevation of the lake? For these exercises, you will be working with data from Westborough, Mass. When going through Exercise fyou must add a subtitle to the map that contains your name and lab section. Select a font size of Print the map composition you created in this exercise. For this part of the lab you will take what you learned in the tutorials, and apply it to a local dataset: A vector file of some roads in this area is also provided.

One of the first steps you must complete before starting most Digital Image Analysis DIA projects is to import the data i.

You will first import the Kdrisi data. The first thing to do is to create a True Colour composite image. To do this, you need to display band1 in blue, band2 in green and band3 in red.

The naming convention for composite images is variable. While many people place the band numbers following a short-to-long wavelengths convention e. 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 printout of your Landsat image composition. The roads, unfortunately, don’t line up with the Idrissi images although both use the UTM coordinate system, the georeferencing of the Landsat images resulted in some positional error being idridi.

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 idrjsi far off in a north-south direction only the vector roads are from the roads as imaged in the Landsat images.


Hand in the printout of your Landsat composite image.

Include the same information as in the previous map, but provide an appropriate title. Use both Landsat and Landsat to help you in your identification.

What wavelengths are captured by Landsat band 6? What information is being presented in this band’s image, and how could it be used? What features turned ‘black’ in the image after adjusting the contrast? What features in particular stand out in the image the ‘fuzzy worms’ 5.

Is the spatial resolution of this image different from that of the other bands? Has it been resampled if so, how can you tell? From within the Raster Group, display Landsat 6 and Landsat 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. The Group Linked Zoom instructions in Exercise provide more details, if necessary. Describe the strengths of each of the three images Landsat, Landsat, band 6 you have explored above, in aiding you with respect to interpreting the landscape.

Home Syllabus Schedule Projects. Room Office hours: Advanced GIS Geob Remote Sensing Geob Week of February 11 th you have two weeks for this lab. The tutorial PDF can be found here: For this lab, and the succeeding labs, you will be using Windows Explorer to copy, paste, unzip and zip the data: Using Windows Explorer, go to: You may not need to save your work if you answer the questions as you go.

Do not save the zip file to H: Ignore any message that may appear about a “Data path not found. We will have some hard copies of the relevant sections of the IDRISI tutorial available for you in the lab a scanned copy of the relevant sections here.

You can access the tutorial from C: You will be completing the following exercises for this lab: Layer Interaction Effects 1. Fly through and illumination optional, but it is quick and fun!

Click on Projects tab in the Idrisi Explorer window. Right click on the existing pathname which might be C: Right click again on Irdisi You have now set both the projects folder and the working directory.

If you click on the Files tab you should see a list of the files stored in the Using Idrisi directory.

There is no save icon do not worry about this. Layers and Group files Question 4. Layer Interaction Effects Question 7: Surfaces — Fly through and Illumination This exercise is optional, but it does demonstrate some of the ‘neat’ capabilities of Idrisi.