The goals for this lab were as follows:
- Delineate a study area from a larger satellite image scene
- Demonstrate how spatial resolution of images can be optimized for visual interpretation purposes
- Introduce some radiometric enhancement techniques in optical images
- Link a satellite image to Google Earth which can be a source of ancillary information
- Introduce students to various methods of resampling satellite images
- Explore image mosaicking
- Expose students to binary change detection with the use of graphical modeling
Methods:
Part 1: Image subsetting of study area
Section 1: subsetting with the use of an Inquire box
- Open the TM image eau_claire_2011.img, click on Raster
- Right click and click on Inquire Box; this brings up the Inquire Box in the viewer
- Put cursor inside the Inquire Box, hold down left mouse button (LMB), and position the box over the Eau Claire/Chippewa counties area
- Click Apply in the viewer window and use the LMB to position the inquire box viewer away from the raster tools
- Under the Raster tab, click Subset & Chip and then Create Subset Image from the drop down menu
- Click on the folder icon under Output File and save the subset as eau_claire_2011sb_ib.img in Image_Subset folder in the Lab 4 personal folder; next click on From Inquire Box, accept remaining default values, and click OK
- Once the model has ran, click Dismiss and then Close; close the inquire box and clear the view
For the result, see Figure 1 in the results section below
Section 2: subsetting with the use of an area of interest (AOI) shape file
Results:
| Figure 1: Subset image using Inquire box |
| Figure 2: Subset image using an area of interest shape file |
| Figure 3: Mosaicked image using Mosaic Express |
| Figure 4: Mosaicked image using MosaicPro |
| Figure 5: Histogram of difference image |
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| Figure 6: Map showing change in brightness values using the spatial modeler |
Sources:
- Earth Resources Observation and Science Center
- United States Geological Survey (USGS)
- Mastering ArcGIS 6th Edition Dataset by Maribeth Price, McGraw Hill. 2014.

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