North Central land use and land cover for 1980

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator:
Potts, R.S., E.J. Gustafson, S.I. Stewart, F.R. Thompson, K. Bergen, D.G. Brown, R. Hammer, V. Radellof, D. Bengston, J. Sauer, and B. Sturtevant
Publication_Date: 2004
Title: North Central land use and land cover for 1980
Geospatial_Data_Presentation_Form: vector digital data
Larger_Work_Citation:
Citation_Information:
Originator:
Potts, R.S., E.J. Gustafson, S.I. Stewart, F.R. Thompson, K. Bergen, D.G. Brown, R. Hammer, V. Radellof, D. Bengston, J. Sauer, and B. Sturtevant
Publication_Date: 2004
Title:
The Changing Midwest Assessment: land cover, natural resources and people.
Series_Information:
Series_Name: General Technical Report
Issue_Identification: NC-250
Publication_Information:
Publication_Place: St. Paul, Minnesota
Publisher:
U.S. Department of Agriculture, Forest Service, North Central Research Station
Online_Linkage: <http://ncrs.fs.fed.us/pubs>
Description:
Abstract:
This 1980 grid was created for comparison purposes with a 2000 AVHRR classification. It is the aggregate of Land Use and Land Cover vector data converted to a 1000 m² grid for seven US states - IA, IL, IN, MI, MN, MO, WI. The original land use classes were aggregated to 6 land-cover classes - urban and built-up, forestland, agriculture, non-forested wetland, barren, and water.
Purpose:
A 1980 national-scale land-cover classification based on aerial photo interpretation was combined with year 2000 AVHRR NDVI time series satellite imagery to derive land-cover change information for forest, urban, and agriculture categories over a seven-state region in the U.S.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 197701
Ending_Date: 198001
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -97.508492
East_Bounding_Coordinate: -81.580189
North_Bounding_Coordinate: 49.501301
South_Bounding_Coordinate: 35.792347
Keywords:
Theme:
Theme_Keyword_Thesaurus: none
Theme_Keyword: LUDA
Theme_Keyword: Land Use
Theme_Keyword: Land Cover
Theme_Keyword: Aerial photo interpretation
Place:
Place_Keyword_Thesaurus: none
Place_Keyword: Illinois
Place_Keyword: Indiana
Place_Keyword: Iowa
Place_Keyword: Michigan
Place_Keyword: Minnesota
Place_Keyword: Missouri
Place_Keyword: Wisconsin
Place_Keyword: Upper Midwest
Access_Constraints: None.
Use_Constraints:
none. Acknowledgement of the USDA Forest Service, North Central Research Station and the University of Michigan School of Natural Resources and Environment would be appreciated.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, North Central Research Station
Contact_Person: Sue M. Lietz
Contact_Position: Forester
Contact_Address:
Address_Type: mailing and physical address
Address: Forestry Sciences Lab
Address: 5985 Highway K
City: Rhinelander
State_or_Province: WI
Postal_Code: 54501
Country: USA
Contact_Facsimile_Telephone: 715-362-1166
Contact_Electronic_Mail_Address: slietz@fs.fed.us
Native_Data_Set_Environment:
Microsoft Windows 2000 Service Pack 3; ESRI ArcCatalog 8.3.0.800
Cross_Reference:
Citation_Information:
Originator:
James R. Anderson, Ernest E. Hardy, John T. Roach, and Richard E. Witmer
Publication_Date: 1976
Title:
A Land Use and Land Cover Classification System for Use with Remote Sensor Data
Series_Information:
Series_Name: Geological Survey Professional Paper
Issue_Identification: 964
Publication_Information:
Publication_Place: Reston, Virginia
Publisher: U.S. Geological Survey
Online_Linkage: <http://ncrs.fs.fed.us/4153/deltawest/landcover/LLCoverPub.html>
Cross_Reference:
Citation_Information:
Originator: Bergen, K.M., D.G. Brown, J.R. Rutherford and E.J. Gustafson
Publication_Date: in review, submitted Dec 2003
Title:
Change Detection with Heterogeneous Data using Ecoregional Stratification, Statistical Summaries and a Land Allocation Algorithm
Series_Information:
Series_Name: Remote Sensing of Environment

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
No check for attribute accuracy was made. Original attributes were reclassed.
Logical_Consistency_Report:
No tests for logical consistency have been performed on this data set.
Completeness_Report:
This theme is complete within the state boundaries of Minnesota, Wisconsin, Michigan, Indiana, Illinois, Iowa, and Missouri.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: unknown
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report: not applicable
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Environmental Protection Agency
Publication_Date: 1990
Title:
USGeoData 1:250,000 and 1:100,000 Scale Land Use and Land Cover and Associated Maps Digital Data
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name:
USGeoData 1:250,000 and 1:100,000 Scale Land Use and Land Cover and Associated Maps Digital Data
Issue_Identification: MGIRAS
Publication_Information:
Publication_Place: Washington, D. C.
Publisher: U.S. Environmental Protection Agency
Other_Citation_Details:
This is land use/ land cover digital data originally collected by USGS and converted to ARC/INFO by the EPA. This data is useful for environmental assessment of land use patterns with respect to water quality analysis, growth management, and other types of environmental impact assessment. Use may be limited due to currency.
Online_Linkage: <http://www.epa.gov/ngispgm3/spdata/EPAGIRAS/>
Source_Scale_Denominator: 1:100,000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 197701
Ending_Date: 198001
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: MGIRAS
Source_Contribution:
Land use and land cover data LU/LC collected by the USGS NMD is useful for environmental assessment of land use patterns with respect to water quality analysis, growth management, and other types of environmental impact assessment.

Data are meant to be used by quadrangle, or among adjacent quadrangles where temporally contiguous. Can be used in any geographic application where intermediate scale land use data are appropriate and the dates are representative.

Each quadrangle of land use data has a different representative date. Date ranges from mid 1970s to early 1980s are common. When joined together these quadrangles will not likely match along edges due to differences in interpretation and time coverage. Edges of each map file were manually digitized and may not join neighboring maps. If GIRASNEAT program has been applied, then edges have been mathematically recalculated to join without overlap or gaps in coverage with adjacent maps.

The GIRAS series can include several themes of spatial data. The most common, described here, is the land use and land cover data. Land use was mapped and coded using the Anderson classification system (Anderson others,1976) which is a hierarchical system of general (level 1) to more specific (level 2) characterization. Some agencies have taken this to a level 3 classification -- but this has not been done in the GIRAS series.

The salient attribute managed for this polygon data set in the polygon attribute table (PAT) is the column named LUCODE containing the Anderson level 2 classification. The first digit represents the level one value and the second digit (ones place) represents the subdivision of the level 1 or level 2 value.

Process_Step:
Process_Description:
We downloaded the entire 7 state region's 1 degree quads and joined them together. There are some edgematching issues between quads that were not addressed because we were gridding up to 1km.
Source_Used_Citation_Abbreviation: MGIRAS
Process_Date: 200209
Source_Produced_Citation_Abbreviation: nc_luda
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: School of Natural Resources and Environment
Contact_Person: Dr. Kathleen Bergen
Contact_Position: Assistant Research Scientist
Contact_Address:
Address_Type: physical address
Address: University of Michigan
City: Ann Arbor
State_or_Province: Michigan
Postal_Code: 48109-1112
Country: USA
Process_Step:
Process_Description:
We projected the polygon coverage into a modified Albers projection then converted the polygon coverage into a 1000-m² grid.

TWO-STEP PROJECTION ------------------------------------------

input
projection albers
units meters
datum nad27
spheroid clarke1866
parameters
29 30 00
45 30 00
-96 0 00
23 00 00
0.0
0.0
output
projection albers
units meters
datum nad27
spheroid clarke1866
parameters
42 20 00
47 40 00
-89 30 00
41 00 00
0.0
0.0
end

input
projection albers
units meters
datum nad27
spheroid clarke1866
parameters
42 20 00
47 40 00
-89 30 00
41 00 00
0.0
0.0
output
projection albers
units meters
datum nad83
spheroid GRS1980
parameters
42 20 00
47 40 00
-89 30 00
41 00 00
0.0
0.0
end
Source_Used_Citation_Abbreviation: nc_luda
Process_Date: 200209
Source_Produced_Citation_Abbreviation: luda80_grid
Process_Step:
Process_Description:
We reclassed the original Anderson's Classification as follows:

  OUR CLASS                     LUDA (Anderson) CLASS
---------------------------------------------------------------
1 - urban or built-up             anderson: 11,12,13
2 - agriculture / rangeland       anderson: 21,23,24,31,32,33
3 - forestland                    anderson: 41,42,43,22,61
4 - nonforested wetlands          anderson: 62
5 - barren                        anderson: 72-76
6 - water                         anderson: 51-54
Source_Used_Citation_Abbreviation: luda80_grid
Process_Date: 200209
Source_Produced_Citation_Abbreviation: luda80_grid
Process_Step:
Process_Description:
The land use/land cover grid was converted to a shapefile for distribution.
Source_Used_Citation_Abbreviation: luda80_grid

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 42627

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 42.333333
Standard_Parallel: 47.666667
Longitude_of_Central_Meridian: -89.500000
Latitude_of_Projection_Origin: 41.000000
False_Easting: 0.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.004096
Ordinate_Resolution: 0.004096
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222

Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: Landuse_landcover_1980
Entity_Type_Definition: Each polygon in this dataset represents a landuse/landcover
Entity_Type_Definition_Source: U.S. Environmental Protection Agency
Attribute:
Attribute_Label: FID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: AREA
Attribute_Definition: Size of the feature in internal units squared
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Values that are automatically generated.
Attribute:
Attribute_Label: PERIMETER
Attribute_Definition: Length of perimeter of the feature in internal units
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Values that are automatically generated
Attribute:
Attribute_Label: LUDA1980_I
Attribute_Definition: Internal feature number
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: 42627
Attribute_Units_of_Measure: none
Attribute:
Attribute_Label: LANDCOVER
Attribute_Definition: Value for landcover
Attribute_Definition_Source:
A Land Use and Land Cover Classification System for Use with Remote Sensor Data
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 0
Enumerated_Domain_Value_Definition: No Data
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition: Urban or built-up lands
Enumerated_Domain_Value_Definition_Source:
A Land Use and Land Cover Classification System for Use with Remote Sensor Data
Enumerated_Domain:
Enumerated_Domain_Value: 2
Enumerated_Domain_Value_Definition: Agriculture lands
Enumerated_Domain_Value_Definition_Source:
A Land Use and Land Cover Classification System for Use with Remote Sensor Data
Enumerated_Domain:
Enumerated_Domain_Value: 3
Enumerated_Domain_Value_Definition: Forestland
Enumerated_Domain_Value_Definition_Source:
A Land Use and Land Cover Classification System for Use with Remote Sensor Data
Enumerated_Domain:
Enumerated_Domain_Value: 4
Enumerated_Domain_Value_Definition: Non-forested wetland
Enumerated_Domain_Value_Definition_Source:
A Land Use and Land Cover Classification System for Use with Remote Sensor Data
Enumerated_Domain:
Enumerated_Domain_Value: 5
Enumerated_Domain_Value_Definition: Barren land
Enumerated_Domain_Value_Definition_Source:
A Land Use and Land Cover Classification System for Use with Remote Sensor Data
Enumerated_Domain:
Enumerated_Domain_Value: 6
Enumerated_Domain_Value_Definition: Open Water
Enumerated_Domain_Value_Definition_Source:
A Land Use and Land Cover Classification System for Use with Remote Sensor Data

Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, North Central Research Station
Contact_Person: Dave Rugg
Contact_Address:
Address_Type: mailing and physical address
Address: 1992 Folwell Avenue
City: St. Paul
State_or_Province: Minnesota
Postal_Code: 54501
Country: USA
Contact_Voice_Telephone: 651-649-5173
Resource_Description: Downloadable Data
Distribution_Liability:
This metadata document has been reviewed for accuracy and completeness. All data and related materials described in this metadata have been used by the USDA Forest Service, and have formed the foundation for one or more peer-reviewed scientific papers. The data are, therefore, considered to satisfy the Forest Service's high quality standards relative to the purpose for which the data were collected. However, peer review cannot guarantee the absence of errors. Furthermore, the Forest Service cannot assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the Forest Service for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes an error exists in the metadata, data or related materials, please use the information in (1) Identification Information - Point of Contact, (2) Metadata Reference - Metadata Contact, or (3) Distribution Information - Distributor to notify the Forest Service of the perceived error. The Forest Service also accepts formal feedback as part of its obligations under the Data Quality Act; more information is available at <http://www.fs.fed.us/qoi> .

Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: ArcView shapefile
Format_Version_Number: 3.2
Format_Specification: shapefile format (.shp, .shx, .dbf, .sbx, .sbn, .prj, .xml)
Transfer_Size: 15.410
Digital_Transfer_Option:
Offline_Option:
Offline_Media: CD-ROM

Metadata_Reference_Information:
Metadata_Date: 20050215
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, North Central Research Station
Contact_Person: Sue Lietz
Contact_Position: Forester
Contact_Address:
Address_Type: mailing and physical address
Address: Forestry Sciences Lab
Address: 5985 Highway K
City: Rhinelander
State_or_Province: WI
Postal_Code: 54501
Country: USA
Contact_Facsimile_Telephone: 715-362-1166
Contact_Electronic_Mail_Address: slietz@fs.fed.us
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time

Generated by mp version 2.7.33 on Tue Feb 15 09:33:08 2005