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Home > Research > Forest Inventory and Management > Urban Forest Mapping

Urban Forest Mapping

CITYgreen application

After comparing the statistics of the pixel-based and object-based classification approaches, we chose object-oriented classified images as our final images for three years to input into the CITYgreen analysis modules since the forest cover classification maps were more consistent. The classified IKONOS images provide the base data sets used in the urban forest economic benefits evaluation. They were converted into the CITYgreen format for stormwater runoff, air quality, and carbon storage and sequestration analysis.

CITYgreen economic benefits report for Eagan in 2000
CITYgreen economic benefits report for Eagan in 2001
CITYgreen economic benefits report for Eagan in 2002

Based on CITYgreen analysis for three years (from 2000 to 2002), trees help save approximately $811,275 on annual air pollution, $5,420,416 on annual storm water, and store 216,410.40 tons of carbon annually in the City of Eagan.

Our results provide important information that can be used to improve the area’s livability for local residents in Eagan. It also provides tools and insights that communities can use to make wise choices about future development based on tree values.

Satellite-Aided Field Forestry Applications

k-Nearest Neighbor (kNN)

Forest Disturbance Mapping

Oak Wilt Detection

Urban Forest Mapping

TCMA Classification Comparison: MLC vs. kNN

In this section...

Classifying land cover

CITYgreen application