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TCMA 1-Meter Land Cover Classification
- Identification Information
- Data Quality Information
- Spatial Reference Information
- Entity and Attribute Information
- Distribution Information
- Metadata Reference Information
- Identification Information
- Citation
- Originator
- Remote Sensing and Geospatial Analysis Laboratory, University of Minnesota - Version 1
- Publication Date
- 20160630
- Title
- TCMA 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
- Twin Cities Metro Area
- 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
- -94.03
- East
- -92.71
- North
- 45.44
- South
- 44.46
- 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
- Twin Cities Metropolitan area (TCMA)
- 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 TCMA dataset has 88% overall level 1 classification accuracy and 86% for level 2 Deciduous and Coniferous Tree Canopy.
- Completeness Report
- Data provides complete coverage of the Twin Cities Metropolitan Area (TCMA).
- 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 2010 aerial imagery TCMA: An overall accuracy for this product was targeted for 2.4 meters, CE95. Surdex collected Airborne GPS data at the time of image acquisition and supplemented with several control points surveyed by ground crews. Surdex used these ground control points and additionally some QC points dropped out of the Triangulation in order to validate the accuracy of the final digital orthophoto quarter quads (DOQQ) product. Of all the points collected, only 20 were easily readable in the final product and were used to calculate the stated residual. 0.85, value in meters, CE95.
- 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