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Allows saving a section of the overall image as a TIFF file GeoViewer Allows saving a section of the overall image as a TIFF file Freeview Allows changing brightness, contrast, equalization of image ArcExplorer Scale bar available at bottom, add layers MapSheets Express Allows changing brightness, contrast, add layers Viewfinder 3 panels; adjust brightness, contrast, sharpen, etc.

See the "Viewers" folder on Disk 1. The instructions below should help you start exploring the GeoCover data set: 1.

Open the MrSID file of your choice following standard windows file opening procedures: a. Click on "File", then "Open" - you will get the standard open file window. Click on the. SID file named for the tile, e. Click on "Open", or double click the above. You will see a small rendition of the overall image.

Move the cursor to the area you want to magnify, and c. Click once for each 2x magnification you want — this step will both center the image and magnify it, or d. Center the image on the area you want using the above step, and then e.

Grab the slider on the right-hand side of the screen it is at the top of the slide and pull it down - you will see the image change and then resolve itself at higher resolution. In Freeview, a. First, click on the area you want to enlarge. The following set of sample images are for the Salinas, California area south of San Francisco.

It includes a sample from each individual band, although only one of the two band 6 images is presented. When comparing images, pick a few specific features to compare, such as: The ocean Light, dark, textured, smooth? The breakers along the beach Visible or invisible? Various fields Do they stay the same shade of gray? The airport Do the runways stand out or do they fade away? The major highways Are they sharper in some bands than others? The town of Salinas Is it lighter or darker than the surrounding area?

By a lot or a little? Then look for the same feature or features in the images from two or more different bands.

That is why the fields all look drab and washed out. It helps find oil on the surface of water, and vegetation plant life reflects more green light than any other visible color. Manmade features are still visible note the airport. It reflects well from dead foliage, but not well from live foliage with chlorophyll. It is useful for identifying vegetation types, soils, and urban city and town features.

It is very good at detecting and analyzing vegetation. See how the fields that looked almost the same in bands 1, 2, or even 3 have changed dramatically in band 4. But the airport has darkened. It is also useful to measure the moisture content of soil and vegetation. It helps differentiate between snow and clouds.

It is also useful to identify some vegetation density, moisture, and cover type. This image has only meter pixels, so it is not as sharp as the other images. Band 6 pixels on Landsat-5 are meters. The differences between Landsat-5 and Landsat-7 are: 1.

Landsat-7 has a meter resolution thermal band band 6 , while Landsat-5 had a meter thermal band; and 2. Landsat-7 has a additional meter resolution panchromatic wide-spectrum band which allows users to sharpen the These data appear as a set of grayscale images.

Since band 6 has only 60 meter spatial resolution, the image is half the height and half the width of the images for bands 1, 2, 3, 4, 5 and 7. Band 8 has 15 meter resolution and a broad spectral response. It is used to "sharpen" the 30 meter images. Since it has 15 rather than 30 meter resolution, its image is twice the height and twice the width of the images from bands 1, 2, 3, 4, 5, and 7. Sometimes the results are surprising!

By choosing different band combinations, different land features are emphasized. First, go to the recombining step. Identify the "red" gray scale image by file name as band 3; identify the "green" gray scale image by file name as band 2; and identify the "blue" gray scale image by file name as band 1.

Table App summarizes what different features look like in different bands, in particular which individual band or bands are best used to look for a particular feature. It also tells what color the feature will appear to be in a false-color composite not the GeoCover composite.



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Landsat Spacecraft Orbit


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