Lab 8: Spectral Signature Analysis and Resource Monitoring
Goals:
The goal for this lab is to become familiar with measuring, collecting, and interpreting spectral reluctance and signatures. The other goal for this lab is to learn how to monitor resources with NDVI and ferrous mineral monitoring.
Methods:
Part 1:
The first part of this lab deals with spectral signatures. The first thing that is done, after a photo is loaded in to program, is to collect the spectral signatures for various land covers. This is done by identifying the land cover type desired in the image and creating a polygon around it. Next, select the supervised drop down and click the signature editor. Once this is open, the spectral signature for the area inside the polygon can be found. These step can then be repeated until all the desired land cover spectral signatures are found.
Part 2:
Section 1:
The first section of the second part of this lab deals with calculating vegetation density using satellite images. This is done by using the desire satellite image as an input for the NDVI tool. The NDVI tool can be found under the raster tab in unsupervised. In the drop down, NDVI is selected. In the new window, use the desired satellite image. After the tool is done running, the new NDVI can be brought into the viewer to see areas where vegetation is dense and where it is not.
Section 2:
The second section of the second part of this lab deals with calculating the density of ferrous minerals. This tool is located in the same drop down as the NDVI tool is. Instead of selecting the NDVI, select the ferrous minerals tool and use the desired image as an input. This will provide an image that shows where high and low density of ferrous material areas are.
Results:
Part 1:
The first part of this lab resulted in a small spectral library for the desired land cover. The graph with the spectral signatures can be seen in figure 1. These spectral signatures can be used to classify the land cover for the study area.
Part 2:
Section 1:
The results for this section of part 2 is a map of the vegetation density of the Eau Claire area. THis is done with a NDVI tool. The result from the tool can be seen in figure 2. The density of vegetation is a lot higher away from the city and decreases the closer to the city the location is.
Section 2:
The result for this section is a map that shows the density of ferrous mineral. This map can be seen in figure 3. The map shows that the ferrous minerals are in and close to the city and decrease the farther away from the city the location is.
Sources:
Satellite image is from Earth Resources Observation and Science Center, United States Geological Survey.
The goal for this lab is to become familiar with measuring, collecting, and interpreting spectral reluctance and signatures. The other goal for this lab is to learn how to monitor resources with NDVI and ferrous mineral monitoring.
Methods:
Part 1:
The first part of this lab deals with spectral signatures. The first thing that is done, after a photo is loaded in to program, is to collect the spectral signatures for various land covers. This is done by identifying the land cover type desired in the image and creating a polygon around it. Next, select the supervised drop down and click the signature editor. Once this is open, the spectral signature for the area inside the polygon can be found. These step can then be repeated until all the desired land cover spectral signatures are found.
Part 2:
Section 1:
The first section of the second part of this lab deals with calculating vegetation density using satellite images. This is done by using the desire satellite image as an input for the NDVI tool. The NDVI tool can be found under the raster tab in unsupervised. In the drop down, NDVI is selected. In the new window, use the desired satellite image. After the tool is done running, the new NDVI can be brought into the viewer to see areas where vegetation is dense and where it is not.
Section 2:
The second section of the second part of this lab deals with calculating the density of ferrous minerals. This tool is located in the same drop down as the NDVI tool is. Instead of selecting the NDVI, select the ferrous minerals tool and use the desired image as an input. This will provide an image that shows where high and low density of ferrous material areas are.
Results:
Part 1:
The first part of this lab resulted in a small spectral library for the desired land cover. The graph with the spectral signatures can be seen in figure 1. These spectral signatures can be used to classify the land cover for the study area.
 |
| figure 1. Spectral signatures for the land cover types in the study area. |
Part 2:
Section 1:
The results for this section of part 2 is a map of the vegetation density of the Eau Claire area. THis is done with a NDVI tool. The result from the tool can be seen in figure 2. The density of vegetation is a lot higher away from the city and decreases the closer to the city the location is.
 |
| figure 2. NDVI for the Eau Claire Area. |
The result for this section is a map that shows the density of ferrous mineral. This map can be seen in figure 3. The map shows that the ferrous minerals are in and close to the city and decrease the farther away from the city the location is.
 |
| figure 3. Ferrous mineral density in the Eau Claire area. |
Satellite image is from Earth Resources Observation and Science Center, United States Geological Survey.
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