2015 Twin Cities Metropolitan Area Urban Tree Canopy Assessment

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Date completed

2015-12-31

Date updated

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Journal Title

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Volume Title

Title

2015 Twin Cities Metropolitan Area Urban Tree Canopy Assessment

Published Date

2017-01-03

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Author Contact

Knight, Joseph, F
jknight@umn.edu

Type

Dataset
Map
Spatial Data

Abstract

A high-resolution (1-meter) tree canopy assessment was completed for the Twin Cities Metropolitan Area. Mapping of existing and potential tree canopy is critical for urban tree management at the landscape level. This classification was created from combined 2015 aerial imagery, LIDAR data, and ancillary thematic layers. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach through multi-resolution image segmentation and an iterative set of classification commands in the form of customized rulesets. eCognition® Developer was used to develop the rulesets and produce raster classification products for TCMA. The results were evaluated using randomly placed and independent verified assessment points. The classification product was analyzed at regional scales to compare distributions of tree canopy spatially and at different resolutions. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of tree canopy with highly accurate results.

Description

The data is stored as an 8-bit GEOTIFF file that is readable with GIS software packages such as ERSI ArcGIS, Qgis, etc. The class codes can be found in the classification scheme PDF. An overview map and legend PDF is provided as well.

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Funding information

Legislative-Citizen Commission on Minnesota Resources (LCCMR)

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Suggested citation

Knight, Joe F; Rampi, Lian P; Host, Trevor K. (2017). 2015 Twin Cities Metropolitan Area Urban Tree Canopy Assessment. Retrieved from the Data Repository for the University of Minnesota (DRUM), http://doi.org/10.13020/D6C016.

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