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Digital Image Applications

These are examples of case studies we have found in the literature where digital aerial imaging, combined with GPS and GIS services, would be highly useful to the land manager. References are noted at the end of the page.

Forest and Crop Health Assessment | Natural Disaster Assessment and Mapping | Utility Routing | Site Selection/Real Estate



Forest and Crop Health Assessment (Crop Health, Reference 1)

This one-meter resolution image of farmland in central California illustrates the effect of a disease known as "clubroot" on a cauliflower crop.

Agricultural Field in Color IR

Displaying Digital Aerial Images using the Infra-Red Color Bands Makes the Crop’s Characteristics Easily Visible to the Naked Eye
Clubroot Picture Clubroot is a soil-borne disease, and as such, will not spread to neighboring crops unless the contaminated soil is shifted or spread (e.g., through equipment that is not cleaned between uses) to another location. The common remedy is to till and treat the soil before the next growing season begins. Then, clubroot can be effectively managed by raising the pH level with the application of lime.

Crop consultants investigating this field on foot were able to detect the presence of clubroot. However, the extent of damage due to the disease had not been recognizable. High-resolution multi-spectral imagery, such as the image displayed here, can help the consultants and the grower recognize the extent of clubroot disease and help prevent it from re-occurring during the next growing season.

The grower was faced with the decision to either destroy the crop and forfeit revenues, or to harvest unaffected areas and sell those portions which were still healthy.

Since cauliflower is a valuable crop, pricing out at roughly $3,616 per acre, the grower decided to harvest the crop and sell the portions that were unaffected by clubroot, even though his yield was significantly reduced. Since approximately 8.5 of the 17.7 acres were affected by the disease, the potential loss on the damaged portion alone could have reached more than $30,700.

The grower still must remedy the problem caused by clubroot disease. After harvesting, the grower may prepare the affected soil for the next growing season by treating it with lime, thereby preventing the disease from reoccurring.
Clubroot Picture with Polygons Here, polygons delineating vegetation stress are automatically generated in the grower's information system, mapped to a coordinate grid system, and input to a variable rate applicator. This enables the grower to determine precisely which sections have the highest and lowest incidence of affected soil, thus enabling him to apply the proper treatment. "Treatment A" refers to the soil areas which have experienced the least damage and where the application of lime should be less concentrated. "Treatment B" indicates that a higher concentration of lime is required.

By determining the location and concentration of lime treatment, the grower saves money on chemicals and the time required to apply the chemicals. These techniques also help preserve the environment by reducing the amount of chemicals that enter the soil and the water system.


Natural Disaster Assessment and Mapping (Wind Storm, Reference 1)

This one-meter resolution image of Huntsville, Alabama in March 1989 shows what one neighborhood looked like before a tornado occurred on November 15 of that same year. Huntsville, Pre-Tornado

Huntsville, Post-Tornado 1 This one-meter image illustrates the Huntsville neighborhood after the tornado hit. Note that the tops of many buildings have been destroyed, and other buildings have been severely damaged. In this imagery, the path of the tornado has been indicated in yellow. Using the imagery as a backdrop, the extent of the damage has been outlined in green.

This image can be imported into a geographic information system (GIS) to calculate the affected area in square miles/kilometers. From the outlined polygon, parcel (property) coverage could be overlain to determine which specific properties have been damaged.

In this one-meter resolution image, the buildings with structural damage have been outlined in red. These outlines, or footprints, have been extracted from the pre-tornado image to demonstrate the extent of destruction to buildings. Huntsville, Post-Tornado 2

The city's parcel database was queried to obtain information on property ownership, street addresses, insurance agencies, and property values. The percent of damage was then multiplied by the property value to obtain the total estimated cost of damage.

Spreadsheet Information pertaining to property owners, street addresses, insurance carriers, and insurance coverage can be used to effectively communicate extent of damage to property owners, asset appraisers, insurance adjusters and others.



Utility Routing (Pipelines, Reference 2)

Routing oil and gas pipelines through inhabited areas requires, amongst other things, detailed information on land ownership in order to compensate landowners for land affected (e.g., agricultural land removed from production). In addition, basic information about things such as existing infrastructure may be required to determine optimal pipeline routes. Routing tasks may also require detailed topographic information.
Pipelines The routing of pipelines or other transport links through populated areas requires information like a detailed survey of land parcel divisions in order to compensate landowners for land affected by the construction. In this figure the pipeline route (shown in black) connects three oil production areas (shown in magenta). Land parcel data acquired at different times and according to different specifications are overlain in green, yellow, and orange.

By overlaying land parcel data on the imagery it is possible to identify and correct land parcel errors and areas that require verification on the ground. New land division boundaries can also be digitized onto the imagery and verified on the ground.
This image is a zoomed extract from the middle of the above image, illustrating some of the inaccuracies in the pre-existing land parcel data. For example, note the mis-alignment of the orange grid in the upper part of the map with the actual field boundaries. Pipelines Closeup



Site Selection/Real Estate (Residential, Reference 1)

Conventional line-drawn maps are useful for helping cities predict and plan for future development. They distinguish between types of land use (e.g, residential housing vs. commercially developed areas).
Property Boundary Map In this map, parcel (property) boundaries within the city are identified with red lines; yellow-shaded areas indicate land that has been zoned for single family detached housing. Line-drawn maps have their limitations, however. They don't contain useful "visual" information about the land itself, such as the exact location of lakes and rivers relative to buildings and other structures, trees, and grass. Nor do they reveal such cultural features such as parking lots, buildings, or bridges.

This is what the line-drawn map of the city neighborhood looks like when one-meter resolution imagery has been laid underneath it.

Land Use Map

This "image map", which combines both aerial imagery and the line map, has been color-coded to demonstrate the actual use of the land vs. how the land has been zoned. This information, obtained by querying a city database to determine land use classification, would be useful for local governments planning for future growth needs, such as infrastructure.

The additional information provided by the underlying aerial image helps developers and city planners determine what land zoned for single family detached housing is still available for development. Overlain with vector data, this imagery also helps developers make an easy visual distinction between land that has been zoned for single family detached housing and land that has been zoned for something else.

It is also useful for determining which properties have higher value and why. For instance, in a line-drawn map, a prospective property owner might not realize why the property he is considering has such a high price tag. Looking at the image of the same area, he instantly realizes that the property is "lake-front" which automatically gives it a higher property value.

Ultimately, the line-drawn map is quickly recognized as being out-of-date. The high-resolution image, an improved source of information, will enable the city to quickly and accurately update existing maps of developed properties.


References

Reference 1 - Space Imaging/EOSAT Home Page, www.spaceimage.com

Reference 2 - Center for Earth Observation Programme (CEO) Home Page, www.ceo.org

Please note that GPSI is not implying endorsement by either of these organizations. Thank you.


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