sci425_module_three_technical_writing_sample

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Apr 3, 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 : The composite image processing technique allows a GIS user to combine multiple bands into a single raster. This is a complicated, tiresome, and difficult process that allows the raster to be viewed as a multispectral image in ArcGIS. Normalized digital vegetation index image processing : The normalized digital vegetation index ( NDVI ) is a standardized index that permits a GIS user to generate an image that displays greenness. This band combination capitalizes on the differences between the red band and near-infrared band to detect the presence or absence of green vegetation . It can also be used to identify specific vegetation based on ‘greenness.’ 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. This format allow ing s users to analyze larger swaths of imagery. Image service : An image service provides access to stored imagery through a web service . I was utilizing a web service yesterday. It allow ing s a GIS user to manipulate and analyze data stored on a remote server dynamically in a GIS. DRA : DRA or dynamic range adjustment : Dynamic range adjustment (DRA) allows the GIS user to brighten and contrast the data large imagery data sets using only the data present within the data frame extent. This is a great feature when using a large imagery data set for analysis. 1. Open up a new ArcMap document on your computer in your home . 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 . Once you have pasted in this URL, then click Finish . Now the ArcGIS on Imagery service should be available. Once the imagery service has been added, O o pen the Imagery service and expand the LandsatGLS folder. Add the TM_Multispectral_1990 Image data set , . The resulting with image data set should be a n fuzzy image of the world. 5. Once the TM_Multispectral_1990 Image data set has been added, zoom to a city of interest . or a city which contains fond personal memories. Zooming in can take a while. (The GIS is working with a lot of data through an internet connection.) 6. O The city you are studying may look dark. This is because the stretch value of the image is using the entire world to assign values. Go ahead and o pen 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. C Once you have opened your image analysis window, c lick on the DRA button to . This should brighten your imagery . Adjust because the values are stretched to use only values within the current extent. Go ahead and play with the contrast and brightness filters until the image is enhanced to your preference. (Aerial of Phoenix) 8. C Once you are happy with the extent of your city, c reate a bookmark and label it ‘yourcityextent’ (e.g., Phoenix extent). 9. G Once the bookmark is created g o to the processing section of your image tab and left-click the clip function to . The clip function will create a new raster data set the size of the current extent. TIP: Export the new raster data and save it . somewhere 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. R Make sure the clip is highlighted within the image analysis window and then r eturn to the processing area and l . L eft-click the green leaf aka the NDVI function.

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11. 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. The resulting image is an excellent band combination for isolating vegetation from non-vegetation by taking advantage of the near infrared. 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 2000 and 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.

Utilizing best practices in technical writing is crucial to convey information to the intended audience. Following good practices like planning ahead and using words efficiently allows the researcher to effectively communicate their findings. I intend to use best practices in my research proposal by frequently revising my work as I build on it. (Kelley, 2006.) My research proposal aims to determine the distribution patterns of the invasive species kudzu in the United States. The research method that I will use for my final project is secondary data analysis. This method is “the use of data that was collected by someone else for some other purpose.” (UCL, n.d.) I will collect data from preexisting datasets to analyze and identify patterns in kudzu species distribution. This method will allow me to analyze a substantial amount of data that I would not be capable of collecting in the time frame of a term. It will be my responsibility to choose reliable secondary sources that will give me the data necessary to answer my research question. I believe the secondary data analysis research method will give me a versatile dataset to base my research proposal on.

References Kelley, N. (2006.) Sentence Structure of Technical Writing. MIT. https://web.archive.org/web/20230323035333/http://web.mit.edu/me-ugoffice/ communication/technical-writing.pdf University College London. (n.d.) Secondary Data Analysis . UCL. https://ethics.grad.ucl.ac.uk/forms/Secondary-data-analysis-file-note.pdf

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