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Duluth 1-Meter Land Cover Classification

Identification Information
Citation
Originator
Remote Sensing and Geospatial Analysis Laboratory, University of Minnesota - Version 1
Publication Date
20160630
Title
Duluth 1-Meter Land Cover Classification
Abstract
A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county Twin Cities Metropolitan area. This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014), Multispectral derived indices, LiDAR data, LiDAR derived products, and other thematic ancillary data including the updated National Wetlands Inventory, LiDAR building footprints, airport, OpenStreetMap roads and railroads centerlines. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach to classify 12 land cover classes: Deciduous Tree Canopy, Coniferous Tree Canopy, Buildings, Bare Soil, other Paved surface, Extraction, Row Crop, Grass/Shrub, Lakes, Rivers, Emergent Wetland, Forest and Shrub Wetland. We mapped the 12 classes by using an OBIA approach through the creation of customized rule sets for each area. We used the Cognition Network Language (CNL) within the software eCognition Developer to develop the customized rule sets. The eCognition Server was used to execute a batch and parallel processing which greatly reduced the amount of time to produce the classification. The classification results were evaluated for each area using independent stratified randomly generated points. Accuracy assessment estimators included overall accuracies, producers accuracy, users accuracy, and kappa coefficient. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of land cover classes with highly accurate results.
Purpose
Land cover information offers important inputs to local, regional, and state land use planning and natural resource monitoring.
Supplemental Information
City of Duluth
Temporal Extent
Currentness Reference
A multitemporal composite of aerial imagery from the summer of 2015, fall of 2009-2011, lidar data of 2011 and 2012 were classified.
Time Instant
2015
Bounding Box
West
-92.31
East
-91.91
North
46.91
South
46.65
Theme Keyword
NAIP, Lidar,object based image classification, land cover
Theme Keyword Thesaurus
NAIP: National Agriculture Imagery Program, 4 band, 1-meter resolution aerial imagery collected periodically. Lidar: Light detection and ranging. Lidar data provide information on height and elevation.
Place Keyword
City of Duluth
Place Keyword Thesaurus
Temporal Keyword
Access Restrictions
The Remote Sensing and Geospatial and Analysis Laboratory, University of Minnesota, has attempted to produce accurate maps, statistics and information of land cover and impervious surface area. However, it makes no representation or warranties, either expressed or implied, for the data accuracy, currency, suitability or reliability for any particular purpose. Although every effort has been made to ensure the accuracy of information, errors and conditions originating from the source data and processing may be present in the data supplied. Users are reminded that all geospatial maps and data are subject to errors in positional and thematic accuracy. The user accepts the data -- as is -- and assumes all risks associated with its use. The University of Minnesota assumes no responsibility for actual or consequential damage incurred as a result of any user's reliance on the data. The data are the intellectual property of the University of Minnesota.
Use Restrictions
This data may be used for educational and non-commercial purposes, provided proper attribution is given. Secondary distribution of the data is permitted, but not supported by the University of Minnesota. By accepting the data, the user agrees not to transmit this data or provide access to it or any part of it to another party unless the user includes with the data a copy of this disclaimer.
Status
Complete
Maintenance and Update Frequency
As needed
Point of Contact
Contact Person
Joe Knight
Delivery Point
1530 Cleveland Avenue North
City
St. Paul
State
MN
Postal Code
55108
Contact Telephone
612-625-5354
Contact Facsimile Telephone
612-625-5212
Contact Electronic Mail Address
jknight@umn.edu
Data Quality Information
Attribute Accuracy Report
The Duluth dataset has 89% overall level 1 classification accuracy and 82% for level 2 Deciduous and Coniferous Tree Canopy.
Completeness Report
Data provides complete coverage of the City of Duluth.
Horizontal Positional Accuracy Report
NAIP Summer 2015: FSA Digital Orthophoto Specs. The quarter-quad files are 1 meter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy of within 6 meters of absolute ground control ("true ground") rather than reference imagery. Spring 2009 aerial imagery Duluth: The target accuracy standard was the American Society for Photogrammetry and Remote Sensing (ASPRS) standard for 1:12,000 scale maps, 95% of well-defined points fall within 24.5 feet. The vendor's horizontal accuracy test yielded a circular root mean square error (RMSE) of 11.0 feet. An independent horizontal accuracy test was performed by the Minnesota DNR. The result from the independent check yielded an RMSE of 6.6 feet with a 95% confidence interval of 11.5 feet. This corresponds to the ASPRS accuracy standard for 1:6000 scale maps.
Lineage
Spatial Reference Information
Horizontal Coordinate System Definition
Planar
Grid Coordinate System
Grid Coordinate System Name
Universal Transverse Mercator
Universal Transverse Mercator
UTM Zone Number
15
Planar Coordinate Information
Coordinate Representation
Abscissa Resolution
1
Ordinate Resolution
1
Planar Distance Units
meters
Geodetic Model
Horizontal Datum Name
NAD83
Ellipsoid Name
GRS80
Entity and Attribute Information
Entity Type
Entity Type Label
Classification Scheme Land Cover
Attributes
Grass/Shrub
1
Grass/Shrub
Urban/Developed
2
Bare Soil
3
Buildings
4
Roads/Paved Surfaces
Lakes/Ponds
5
Lakes/Ponds
Tree Canopy
6
Deciduous Tree Canopy
7
Coniferous Tree Canopy
Agriculture
8
Agriculture
Wetland
9
Emergent Wetland
10
Forested/Shrub Wetland
11
River
Extraction
12
Extraction
Entity and Attribute Overview
See table below for the Level 1 and Level 2 Land Cover class values and descriptions. Descriptions of the lakes, streams and wetlands classes can be found at: www.npwrc.usgs.gov/resource/wetlands/classwet/index.htm.
Distribution Information
Metadata Reference Information
Metadata Date
20160630
Metadata Contact
Contact Information
Contact Person Primary
Contact Person
Contact Organization
Remote Sensing and Geospatial Analysis Lab, University of Minnesota
Contact Position
Associate Professor
Contact Address
Address
1530 Cleveland Avenue North
City
St. Paul
State or Province
MN
Postal Code
55108
Contact Voice Telephone
612-625-5354
Contact Facsimile Telephone
612-625-5212
Contact Electronic Mail Address
jknight@umn.edu
Metadata Standard Name
Minnesota Geographic Metadata Guidelines
Metadata Standard Version
1.2
Metadata Extensions
Online Linkage
http://www.mngeo.state.mn.us/committee/standards/mgmg/metadata.htm
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