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Minnesota Land Cover Classification and Impervious Surface Area by Landsat and Lidar: 2013 update - Version 2

Identification Information
Citation
Originator
Remote Sensing and Geospatial Analysis Laboratory, University of Minnesota - Version 2
Publication Date
20160129
Title
Minnesota Land Cover Classification and Impervious Surface Area by Landsat and Lidar: 2013 update - Version 2
Abstract
This is a 15-meter raster dataset of a land cover and impervious surface classification for 2013, level two classification. The classification was created using a combination of multitemporal Landsat 8 data and LiDAR data with Object-based image analysis. By using objects instead of pixels we were able to utilize multispectral data along with spatial and contextual information of objects such as shape, size, texture and LiDAR-derived metrics to distinguish different land cover types. While OBIA has become the standard procedure for classification of high resolution imagery we found that it works equally well with Landsat imagery. For the objects classified as urban or developed, a regression model relating the Landsat greenness variable to percent impervious was developed to estimate and map the percent impervious surface area at the pixel level. This dataset was funded by the the Minnesota Environment and Natural Resources Trust Fund (ENRTF).
Purpose
Land cover information offers important inputs to local, regional, and state land use planning and natural resource monitoring.
Supplemental Information
Minnesota
Temporal Extent
Currentness Reference
A multitemporal composite of Landsat imagery from the summer of 2013 and 2014 and fall of 2013, lidar data of 2008, 2009, 2010, 2011, and 2012 were classified.
Time Instant
2013
Bounding Box
West
-97.23
East
-89.53
North
49.37
South
43.5
Theme Keyword
Landsat, Lidar,object based image classification, land cover, impervious surface area.
Theme Keyword Thesaurus
Landsat: an earth-orbiting satellite that acquires digital multispectral imagery at 30-meter spatial resolution. Lidar: Light detection and ranging. Lidar data provide information on height and elevation.
Place Keyword
Minnesota
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 data set has an overall classification accuracy of 97% for level 1 and 96% for level 2 land cover classifications.
Completeness Report
Data provides complete coverage of the State of Minnesota.
Horizontal Positional Accuracy Report
RMS error of the Landsat data is less than 7.5 meters (0.25 Landsat pixel). The horizontal accuracy of the lidar data meets or exceeds 0.6 m RMSE.
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
15
Ordinate Resolution
15
Planar Distance Units
meters
Geodetic Model
Horizontal Datum Name
NAD83
Ellipsoid Name
GRS80
Entity and Attribute Information
Entity Type
Entity Type Label
Classification Scheme for Level 1 2 Land Cover
Attributes
Urban/Developed
1-100
Impervious (%)
Wetlands
101
Emergent Wetlands
102
Forested Shrub Wetlands
Open Water
103
Lakes, Ponds and rivers
Extraction
104
Extraction
Forest
105
Conifer Forest
106
Deciduous Forest
107
Mixed Forest
Managed Grass/Natural Grass
108
Managed Grass/Natural Grass
Agriculture
109
Hay Pasture
110
Row Crops
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
20160129
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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