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Introduction to Remote Sensing
Objective: The objective of this tutorial is to show you
1) How to create NDVI images to map the amount of green vegetation in an area2) How to conduct a supervised classification to map land cover
Note: This tutorial is written for PCs running Windows 7, so some parts of the tutorial might not work for
you if you are using a Mac or running a different version of Windows. You will be using MultiSpec for
this tutorial. You can access MultiSpec by double-clicking the program shortcut on the desktop of any
MOSS computer. If you are using your own computer, you can download MultiSpec for free from the
Internet at: https://engineering.purdue.edu/~biehl/MultiSpec.
The Normalized Difference Vegetation Index (NDVI)
STEP 1: Basics
The Normalized Difference Vegetation Index (NDVI) can be used to map the amount of green vegetation
in an area. The ability of NDVI to measure the amount of green vegetation is based on the principle that
green vegetation absorbs radiation in the visible region of the electromagnetic spectrum to use it for
photosynthesisa process during which light energy is converted into chemical energy. In contrast to
visible light, near infrared (NIR) light is not used for photosynthesis and is strongly reflected by the plant.
The NDVI is typically calculated as follows:
NDVI = (NIRR)/(NIR + R)
where R is the reflectance in the red region of the electromagnetic spectrum and NIR is the reflectance in
the near infrared spectral region. Use Fig. 1 below to calculate NDVI of the soil, 1 leaf layer, and 2 leaf
layers. Write the results of your calculations in the space provided below. For this exercise, lets assume
that red (R) is at 680 nanometers (nm) and NIR at 800 nm. You should be able to get all the reflectance
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values you need for your calculations from Fig. 1. Please feel free to use the calculator on your computer
for calculating NDVI.
Figure 1. Spectral response curve of soil, 1 leaf layer, and 2 leaf layers.
NDVI (Soil): _________________________________________________
NDVI (1 leaf layer): _________________________________________________
NDVI (2 leaf layers): _________________________________________________
Which of the above has the lowest NDVI value and which has the highest NDVI value? Why do you
think that is? Please explain?
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Based on what you learned above, which of the below NDVI values is associated with most vegetation.
Please circle the right answer.
o NDVI 0.71o NDVI 0.46o NDVI 0.70o NDVI 0.75
Next, we will use an aerial image to create an NDVI map of Ponderosa State Park.
Before we do that, use the Internet to find out what an orthoimage is. Write your answer in the space
provided below. Please make sure you use your own words rather than copying and pasting the exact
words you read.
What is an orthophoto:
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NOTE: For those of you following along at MOSS, please disregard the next section. For those of you
following along at home, you will need to complete the next section.
STEP 2: Download an aerial image of Ponderosa State Park from the Inside Idaho Website
Before you can create a NDVI map of Ponderosa State Park, you have to get an aerial image of the
park. To get aerial imagery for the entire State of Idaho, you can go to the Inside Idaho website
(http://inside.uidaho.edu). On the website, go to Find Data/Popular Data.
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Next, click on the 2011 NAIP link that will allow you to download digital orthoimagery.
On the next site, click on the Online Map link. This will bring you to a map. Zoom into the McCall
area so you can see Ponderosa State Park. Place your mouse cursor somewhere within the Ponderosa
State Park and double click. This will highlight the park area and some of the surrounding area in
yellow and a Tile Information window will pop up. Within the Tile Information window, click on
Download Data and save the orthoimagery somewhere on your computer. Please be advised that the
download can take upwards of 20 minutes due to the size of the file.
After your download is complete, navigate to the location where you saved the file. Since the image
data is contained within a zip file, you have to unzip it in order to access the data. To unzip the file,
simply double click on it. This action should unzip the files into a new folder with the same name as
the original .zip file. You should now be set to go ahead with step 3.
STEP 3: Create NDVI map from aerial digital orthoimage
This step will provide us with a visual of the amount of green vegetation in the entire image. To create an
NDVI image from the aerial image, we will be using the remote sensing software package MultiSpec. To
open MultiSpec on the MOSS computers, double-click on the desktop shortcutMultiSpecW32
. To open
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the digital orthoimage of Ponderosa State Park in MultiSpec, go toFile/Open Image on the main menu
bar and navigate to the folder where you saved your image (C:\Users\moss\My Documents\GIS
Files\image for those of you at MOSS) and open it. Once you click on Open, the Set Display
Specifications window will appear. Change the channels from the default (Red: 4; Green: 3; Blue: 2) to
the following values (Red: 3; Green: 2; Blue: 1):
This assigns the red color gun of your monitor the image color red, the green color gun of your monitor to
the image color green, and the blue color gun of your monitor to the image color blue. This way, you see
the image in its natural colors. If you do not change the values, you will see the image in false colors (aka:
False color image). After you clickOK, another window pops up. Simply clickOK. You should now see
an orthoimage of Ponderosa State Park.
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Next, from the main menu bar, select Processor/Reformatand select Change Image File Format.
When the Image File Format Change Options window pops up, check the Transform Data box on the left
side. The next window on the bottom of the above picture will pop up. Select theNew Channel from
General Algebraic Transformation bubble. Plug in the below equation. This equation represents the
NDVI algorithm. We need to subtract channel 3(red) from channel 4 (NIR)/channel 4 + channel 1. Use
C4 to represent channel 4 and C3 for channel 3.
After your new equation resembles the one above, click OK. The Image File Format Change Options
screen will open again. VERY IMPORTANT: ChangeHeaderto GeoTIFF formatand changeData value
type to 32-bit Real.
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A Save New Image File window will appear. Call the imageNDVI_image and save it somewhere on your
hard-drive where you can find it later on. (Note: If you are using a MOSS computer, save it under
C:\Users\moss\My Documents\GIS Files\Student Work).
To open the NDVI image you just created, go to File/Open Image on the MultiSpec menu bar and
navigate to the location where you saved the NDVI image. In order for your image to be appear you may
have to selectAll Files from the Files of type dropdown menu.
Once you have selected your NDVI image and clicked Open,theDisplay specifications window
will appear. Make sure to change the Type to 1-Channel Thematic.
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ClickOK. Another window will appear. Simply clickOKagain and a default color scheme will appear
that may look something like the image shown below:
The legend in the upper left will give you an accurate portrayal of the amount of green vegetation within
Ponderosa State Park (from -1 to 1).
Based on your knowledge of Ponderosa State Park, please discuss how well NDVI mapped the
amount of green vegetation in park. Also, please discuss how water managers could use the NDVI map
you created. Please provide your answer in the space provided below:
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STEP 4: Import your NDVI map into ArcGIS Explorer.
To open your NDVI image in ArcGIS Explorer, you have to save your NDVI image as a GeoTIFF image
in MultiSpec. To do this, go to File/Save Image to GeoTIFF As. Call the imageNDVI_image_arc and
save it somewhere on your hard-drive where you can find it later on. (Note: If you are using a MOSS
computer, please save it under C:\Users\moss\My Documents\GIS Files\Student Work).
After you saved the image as a GEOTIFF image in MultiSpec, open ArcGIS Explorer and selectAdd
Content/Raster data from the home menu bar. Now, simply navigate to the location where you stored
yourNDVI_image_arc and open. Voilyou should now see the NDVI images you created in ArcGIS
Explorer.
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If you want to see the true color image underneath your NDVI image, for example to help you interpret
the NDVI values, you can use the swipe tool in ArcGIS Explorer. Simply select the Swipe tool under the
Tool tab menu bar.
At the end of this part of the tutorial, go to the following website:http://www.esri.com/landsat-
imagery/viewer.html. This website allows you to display NDVI increases or decreases for a specified area
over a specified period of time. In the search window, simply type inMcCall, ID and hit enter.
You will now see the NDVI change between 1975 and 2000. In general is there an increase or decrease in
NDVI? What does that mean for groundwater recharge? Do you think it increased or decreased between
1975 and 2000? Please provide your answer in the space provided below:
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Supervised classification
In this part of the tutorial, you learn how to conduct a supervised classification. Supervised classification
is used by Remote Sensing scientists to map different land cover classes such as vegetation, soil, water,
and residential. It will be your task to map land cover classes within the orthoimage of Ponderosa State
Park you downloaded earlier. For this, open the orthoimage you downloaded from the Inside Idaho
website in MultiSpec. If you cannot remember how to do this, please refer to step2 in this tutorial. Now
we are ready to do some supervised classification. In order to conduct a supervised classification in
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MultiSpec, we have to train the computer so the computer learns on a subset of pixels which pixels are
associated with which land-cover class such as vegetation, soil, residential, or water. First, lets zoom into
the image by selecting the button from the MultiSpec menu bar (the allows you to zoom out
again). This allows us to better discern the different cover classes. To train the computer, we first have to
select Processor/Statistics from the main menu bar in MulitSpec. The Set Project Options window will
appear. Select OK. Next, the Projectwindow will appear. Check the Polygon Enterbox.
Now we are ready to trace areas on the image with the cursor that are associated with a given land-cover
class such as vegetation. Lets start with vegetation and trace an area that only covered by vegetation.
After you are done tracing the area, double click and select theAdd to list box.
Next, enter the class name Vegetation and clickOK.
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Repeat the last step for at least 5 more vegetated areas. VERY IMPORTANT: When the Define Class
and/or Field Description window appears, you do not have to type in the class name again - simply select
Vegetation from the class pull down menu as shown below:
After you created at least five training areas for vegetation, create at least five for the land-cover soil,
water, and residential. To create training areas for the other cover types, simply draw a polygon around
the next land-cover type you want to map such as soil. After you click onAdd To List , select New
from the Class pull-down menu as shown below:
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and enter the new class name such as Soil into the space provided (see below).
Now, the new class will be part of the Class pull down menu the next time you create a training area.
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After you created at least five training areas for the four land-cover types (vegetation, soil, residential, and
water), it is time to classify the image. To do this, select Processor/Classify from the MultiSpec menu bar.
The following window will appear:
VERY IMPORTANT: Check theDisk file box and select GeoTIFF from the pull down menu. Next, click
OK. Click also OK in theMultiSpec Windows Application window that appears.
MultiSpec will now classify your image based on the training data information you provided. After
MultiSpec is done with its classification, it asks you where to save your classified image. Name your
image landcoverand save it somewhere on your hard drive where you can find it again later on (Note: If
you are using a MOSS computer, please save it under C:\Users\moss\My Documents\GIS Files\Student
Work).
Next, go toFile/Open Image on the MultiSpec menu bar and open your landcoverimage. It might look
something like the image below:
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The text output box on our screen will tell you what percentage of the image is vegetation, soil,
residential, and water.
Based on your knowledge of the McCall area, please discuss how well the supervised classification
mapped the different land-cover classes. Also, please discuss based on the land-cover map you created
where you would expect to see high runoff vs. low runoff and high groundwater recharge vs. low
groundwater recharge. Please provide your answer in the space provided below:
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Finally, open your supervised image in ArcGIS Explorer. If you cannot remember how to do this, please
refer to step 4above when we opened the NDVI image in ArcGIS Explorer.
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Helpful resources for using MultiSpec
Tutorials from Purdue University:
https://engineering.purdue.edu/~biehl/MultiSpec/tutorials.html
Disclaimer: Please e-mail any suggestions of how to potentially improve this document to Jan Eitel
(jeitel@ uidaho.edu). Use of trade names does not constitute an official endorsement by the McCall
Outdoor Science School.
Important: If you used a MOSS computer for this tutorial, please make sure you delete all the files you
created from the computer after you are done with the tutorial. Thanks!
https://engineering.purdue.edu/~biehl/MultiSpec/tutorials.htmlhttps://engineering.purdue.edu/~biehl/MultiSpec/tutorials.htmlhttps://engineering.purdue.edu/~biehl/MultiSpec/tutorials.html