Goals:
The goals of this lab were to practice collecting spectral signatures from a variety of objects in an image of Eau Claire county, Wisconsin and the surrounding areas. The signatures were collected using the signature editor tool in Erdas Imagine software. Additionally, this lab focused on using band ratio to monitor the health of vegetation and soils.
Methods
Section 1:
The first part of the lab focused on collecting and analyzing spectral signatures of remotely sensed images. Signatures were collected for 12 different surfaces using the signature editor tool in Erdas imagine software. The signatures collected are as follows.
1. Standing Water
2. Moving Water
3. Deciduous Forest
5. Riparian Vegetation
6. Crops
7. Dry Soil (uncultivated)
8. Moist Soil (uncultivated)
9. Rock
10. Asphalt highway
11. Airport runway
12. Concrete Surface
The signatures were then compiled on a graph and compared
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Section 2:
The second section of this lab focused on using band ratio to monitor the heath of soils in vegetation in Western Wisconsin and Eastern Minnesota.
First, the normalized difference vegetation index (NDVI) was implemented using Erdas Imagine software to determine the health of vegetation in the study area. A map was then created using an equal interval classification with 5 classes. Areas with high amounts of healthy vegetation appear white whereas areas with lower amounts appear grey or black
Next, a similar process was used to measure the spatial distribution of Iron content in soils within the study area. A map was created showing the distribution of these minerals in the soil. Soils with high iron content appear white whereas soils with lower iron contents appear grey or black.
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Results
Data Sources: Earth Resources Observation and Science Center:US Geological Survey
The goals of this lab were to practice collecting spectral signatures from a variety of objects in an image of Eau Claire county, Wisconsin and the surrounding areas. The signatures were collected using the signature editor tool in Erdas Imagine software. Additionally, this lab focused on using band ratio to monitor the health of vegetation and soils.
Methods
Section 1:
The first part of the lab focused on collecting and analyzing spectral signatures of remotely sensed images. Signatures were collected for 12 different surfaces using the signature editor tool in Erdas imagine software. The signatures collected are as follows.
1. Standing Water
2. Moving Water
3. Deciduous Forest
5. Riparian Vegetation
6. Crops
7. Dry Soil (uncultivated)
8. Moist Soil (uncultivated)
9. Rock
10. Asphalt highway
11. Airport runway
12. Concrete Surface
The signatures were then compiled on a graph and compared
_________________________________________________________________________________
Section 2:
The second section of this lab focused on using band ratio to monitor the heath of soils in vegetation in Western Wisconsin and Eastern Minnesota.
First, the normalized difference vegetation index (NDVI) was implemented using Erdas Imagine software to determine the health of vegetation in the study area. A map was then created using an equal interval classification with 5 classes. Areas with high amounts of healthy vegetation appear white whereas areas with lower amounts appear grey or black
Next, a similar process was used to measure the spatial distribution of Iron content in soils within the study area. A map was created showing the distribution of these minerals in the soil. Soils with high iron content appear white whereas soils with lower iron contents appear grey or black.
_________________________________________________________________________________
Results
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Signature Mean Plot of Spectral Signatures
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| Vegetation Health |
Data Sources: Earth Resources Observation and Science Center:US Geological Survey
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