sci425 technical writing

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Electrical Engineering

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Feb 20, 2024

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SCI 425 Module Three Technical Writing Sample Tutorial: Access Satellite Imagery through ArcGIS Key terms for this tutorial: Composite image processing : A difficult technique that allows a GIS user to combine multiple bands into a single raster that be viewed as a multispectral image in ArcGIS. Normalized digital vegetation index image processing : The NDVI is a standardized index that permits a GIS user to generate an image that displays greenness by capitalizing on the differences between the red band and near-infrared band to detect the presence or absence of green vegetation. Raster data set : A raster data set is any valid format of raster data that uses one or more bands. Mosaic data set : A mosaic data set is a collection of raster data sets displayed dynamically in a GIS and allows users to analyze larger swaths of imagery. Image service : An image service provides access to stored imagery through a web service that allows a GIS user to manipulate and analyze the data dynamically. Dynamic range adjustment : dynamic range adjustment or DRA, allows the GIS user to brighten and contrast using only the data present within the data frame extent during analysis of large imagery sets. 1. Open up a new ArcMap document on your home computer. 2. Access the ArcMap catalog and open the GIS server near the bottom of the window. 3. Double-click Add ArcGIS Server and click Next on Use GIS Services.

4. In the server URL, paste: http://imagery.arcgisonline.com/arcgis/services , click Finish . Now the ArcGIS on Imagery service should be available. Once the imagery service has been added, open and expand the LandsatGLS folder. Add the TM_Multispectral_1990 Image data set. 5. Once the TM_Multispectral_1990 Image data set has been added, zoom to a city of interest. Zooming in can take a while. (The GIS is working with a lot of data through an internet connection.) 6. The city you are studying may look dark. Open the image analysis window (in the window drop- down tab) and left-click the pin button and the TM multispectral 1990 so that it is highlighted.

7. Once you have opened your image analysis window, click on the DRA button. This should brighten your imagery. Go ahead and play with the contrast and brightness filters until the image is enhanced to your preference. (Aerial of Phoenix) 8. Once you are happy with the extent of your city, create a bookmark and label it ‘yourcityextent’ (e.g., Phoenix extent). 9. Once the bookmark is created go to the processing section of your image tab and left-click the clip function. This will create a new raster data set the size of the current extent. TIP: Export the new raster data and save it on your computer, e.g., Phoenix1990. (This could serve as a 7 band Raster data set to conduct a temporal analysis.) 10. Deactivate the TM_Multispectral_1990 Imagery service so that your clip is the only raster data set that is currently visible. Make sure the clip is highlighted within the image analysis window and then return to the processing area. Left-click the green leaf and a new NDVI raster data set will be added to ArcMap for your city.

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11. After you have created the NDVI for your city, turn off the NDVI layer and return to the clip. 12. Access the properties of the clip and change the bands to Red-4, Green-3, and Blue-2. 13. Return to your catalog/GISimagery and drag in TM_Multispectral_2000 and TM_Multispectral_2010. 14. Using the clip function in the analysis window, create two new raster data sets for the year 2000 and the year 2010 using the same extent as your 1990 raster. Save these rasters as yourcity2000 and yourcity2010 (e.g., Phoenix2000 and Phoenix2010). 15. PRO TIP: You can easily compare changes within these rasters by turning the layers on and off or by using the effects toolbar’s swipe function. (You must active effects within the customize window/toolbar.) For my project the research method I will use will be to bring up reports of all the seismic activity in Alaska. I will then research all the volcanic activity for the region. Once I have all that information, I will be able to use the data to correlate any connections between the data sets. Once I have all the numbers and how they correlate, I will be able to map the connections and determine if there is a link and if I can use the link to possibly predict future volcanic activity. Additional research methods I will use is to look up any scholarly articles that have been written on the subject. This will allow me to have a better understanding of the topic from being able to compare my data to the data of those that have researched the topic before. This will help improve the project.