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Remote Sensing
MARSHALL staff are remote sensing experts. We advise
clients on the integration of remotely sensed data into traditional GIS
projects.
City of Bellevue
Land Cover Classification Project
In conjuction with Space Imaging (SI) MARSHALL created land
cover classifications using four-band multispectral imagery for the
City of Bellevue Land Cover Classification Project.
The images below show the same area with different color
band combinations.
The first image is a 1/2 meter spatial resolution true color image of
the Shoreline of Lake Washington in the City of Bellevue. It was
acquired in late August 1999. The recent Endangered Species Act (ESA)
lisiting of several species of West Coast Salmonids has made this a
high priority area to the City of Bellevue because it contains critical
salmon habitat. This area also contains sensitive wetlands.
The second image is a false color image of the same shoreline. The vegetation
appears red because the near infrared band is displayed instead of the
red band. This band is useful for the categorization of different
vegetation types.
The third image is a binary classification of vegetation vs. nonvegetation
land cover.
SI provided the airborne multispectral imagery in
the urban area using their Digital Airborne Imagery System (DAIS).
MARSHALL processed and analyzed the data to create land
cover classification products including:
Impervious surfaces
Well-watered lawns
Tree cover
Wetlands
MARSHALL performed extensive accuracy assessment and advanced analyses
using ArcInfo and ERDAS IMAGINE. This process saved the City
thousands of hours of digitizing and aerial photo interpretation.
One of the main purposes of this project was to give City planners land
cover information that can be used to establish appropriate zoning.
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