Rio Grande DSS 1998 Land Cover Classification
Table of Contents
IDENTIFICATION_INFORMATION
Citation:
Citation_Information:
Originator: Agro Engineering, Inc.
Publication_Date:
Title: Rio Grande DSS 1998 Land Cover Classification
Edition: 2
Geospatial_Data_Presentation_Form: Map
Publication_Information:
Publication_Place: Denver, Colorado
Publisher: State of Colorado - DNR
Other_Citation_Details:
Online_Linkage:
Larger_Work_Citation:
Citation_Information:
Originator: State of Colorado - DNR
Publication_Date:
Title: Colorado Decision Support System
Publication_Information:
Publication_Place: Denver, Colorado
Publisher: State of Colorado - DNR
Online_Linkage:
Description:
Abstract:
Spatial and informational database describing land cover
types of the San Luis Valley during the 1998 growing season
in support of the Rio Grande DSS. Native land cover types
within the Rio Grande DSS effective ground water model area
and irrigated parcels indentified within Division 3 are described.
Purpose:
Spatial integration of Rio Grande DSS for
evapotranspiration and consumptive use consideration
related to land cover.
Supplemental_Information:
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19980501
Ending_Date: 19981001
Currentness_Reference:
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Continually
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -106.6568
East_Bounding_Coordinate: -105.2577
North_Bounding_Coordinate: 38.4302
South_Bounding_Coordinate: 36.9805
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Land Cover
Theme_Keyword: Classification
Theme_Keyword: Irrigated
Theme_Keyword: Native Vegetation
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Division 3
Place_Keyword: Rio Grande
Place_Keyword: Colorado
Place_Keyword: San Luis Valley
Access_Constraints:
Use_Constraints:
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Agro Engineering, Inc.
Contact_Person: Kirk Thompson
Contact_Position: Project Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 0210 Road 2 South
City: Alamosa
State_or_Province: CO
Postal_Code: 81101
Country: USA
Contact_Voice_Telephone: (719) 852-4957
Contact_Facsimile_Telephone: (719) 852-5146
Contact_Electronic_Mail_Address: kirk@agro.com
Hours_of_Service: 8-5 MST
Native_Data_Set_Environment:
ArcView version 3.2 shapefile format
c:\rgdss\products\div3_landcover.shp
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DATA_QUALITY_INFORMATION
Attribute_Accuracy:
Attribute_Accuracy_Report:
Landsat satellite images from 3 dates during the 1998
growing season were geo-referenced to UTM Zone 13, NAD27.
Training sites for irrigated crop types were developed
using the Agro Engineering 1998 client database. Training
sites for non irrigated crop types were delineated using
limited ground-truthing using
real-time corrected GPS and previous land cover studies. A
maximum probability supervised classification was used to
create a raster image describing the most probable land
cover types. The raster image was smoothed twice with a 3x3
matrix focal majority filter. This smoothed image was
vectorized to describe
non-irrigated land cover types. Irrigated parcels were
digitized separately using IRS 5m images and crop types
were determined from evaluation of four sources: 1) the
supervised classification results, 2) Agro Engineering's
1998 client database, 3) Rio Grande Water Conservation
District's (RGWCD) crop database, and 4) limited field
verification. Crop type agreed at least 92% with RGWCD crop
type. Irrigated and non-irrigated vectors were merged on a
vector scale to retain resolution.
Logical_Consistency_Report:
Landsat satellite images from 3 dates during the 1998
growing season were geo-referenced to UTM Zone 13, NAD27.
Training sites for irrigated crop types were developed
using the Agro Engineering 1998 client database. Training
sites for non irrigated crop types were delineated using
limited groun-truthing using real-time
corrected GPS and previous land cover studies.
Heavy, medium, and sparse native vegetation types were
delineated considering percent vegetative cover rather than
plant communities. A maximum probability supervised
classification was used to create a raster image describing
the most probable land cover types. The raster image was
cut to an area 500m outside of the Rio Grande DSS effective
ground water model area to allow for any inaccuracies in
the boundary. The term "effective" refers to the ground
water model area countained within the model boundary layer
cells. The raster image was smoothed twice with a 3x3
matrix focal majority filter. This smoothed mage was
vectorized to describe non-irrigated land cover types.
Irrigated parcels within Division 3 were digitized
separately using IRS 5m
images and crop types were determined from an evaluation of
four sources: 1) the supervised classification results, 2)
Agro Engineering's 1998 client database, 3) Rio Grande
Water Conservation District's (RGWCD) crop database, and 4)
limited field verification. Vectors from the supervised
classification were overlaid by the irrigated parcel
vectors. Irrigated crop types identified in the supervised
classification not overlain by irrigated parcels were
reclassified to heavy vegetation in areas not subject to
sub-irrigation and non-irrigated meadow nearer to river
areas. All vectors were cut to county, huc, and groundwater
model area boundaries provided by other contractors.
Completeness_Report:
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Colorado DNR
Publication_Date: 20000710
Title: Rio Grande DSS
Edition: 1
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Denver, CO
Publisher: State of Colorado
Other_Citation_Details:
Online_Linkage:
Larger_Work_Citation:
Citation_Information:
Originator:
Publication_Date:
Title:
Publication_Information:
Publication_Place:
Publisher:
Online_Linkage:
Source_Scale_Denominator:
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19980501
Ending_Date: 19981001
Source_Currentness_Reference: Complete
Source_Citation_Abbreviation:
Source_Contribution:
Process_Step:
Process_Description:
Landsat satellite images from 3 dates during the 1998
growing season were geo-referenced to UTM Zone 13, NAD27.
Training sites for irrigated crop types were developed
using the Agro Engineering 1998 client database. Training
sites for non irrigated crop types were delineated using
limited ground truthing using real-time
corrected GPS and previous land cover studies.
Heavy, medium, and sparse native vegetation types were
delineated considering percent vegetative cover rather than
plant communities. A maximum probability supervised
classification was used to create a raster image describing
the most probable land cover types. The raster image was
cut to an area 500m outside of the Rio Grande DSS effective
ground water model area. The term "effective" refers to the
ground water model area contained within the model boundary
layer cells. The raster image was smoothed twice with a 3x3
matrix focal majority filter. This smoothed mage was
vectorized to describe non-irrigated land cover types.
Irrigated parcels within Division 3 were digitized
separately using IRS 5m
images and crop types were determined from an evaluation of
four sources: 1) the supervised classification results, 2)
Agro Engineering's 1998 client database, 3) Rio Grande
Water Conservation District's (RGWCD) crop database, and 4)
limited field verification. Vectors from the supervised
classification were overlaid by the irrigated parcel
vectors. Irrigated crop types identified in the supervised
classification not overlain by irrigated parcels were
reclassified to heavy vegetation in areas not subject to
sub-irrigation and non-irrigated meadow nearer to river
areas. All vectors were cut to county, huc, and groundwater
model area boundaries provided by other contractors.
Source_Used_Citation_Abbreviation:
Process_Date: 200007
Source_Produced_Citation_Abbreviation:
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Organization: Agro Engineering, Inc.
Contact_Person: Kirk Thompson
Contact_Position: Project Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 0210 Road 2 South
City: Alamosa
State_or_Province: CO
Postal_Code: 81101
Country: USA
Contact_Voice_Telephone: (719) 852-4957
Contact_Facsimile_Telephone: (719) 852-5146
Contact_Electronic_Mail_Address: kirk@agro.com
Hours_of_Service: 8-5 MST
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SPATIAL_DATA_ORGANIZATION_INFORMATION
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: GT-polygon composed of chains
Point_and_Vector_Object_Count: 69076
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SPATIAL_REFERENCE_INFORMATION
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 13
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.999600
Longitude_of_Central_Meridian: -105.000000
Latitude_of_Projection_Origin: 0.000000
False_Easting: 500000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: Coordinate pair
Coordinate_Representation:
Abscissa_Resolution:
Ordinate_Resolution:
Planar_Distance_Units: Meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.0000000
Denominator_of_Flattening_Ratio: 298.25
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ENTITY_AND_ATTRIBUTE_INFORMATION
Detailed_Description:
Entity_Type:
Entity_Type_Label: div3_landcover.dbf
Entity_Type_Definition: Shapefile Attribute Table
Entity_Type_Definition_Source: None
Attribute:
Attribute_Label: Parcel
Attribute_Definition: Land classification Parcel ID
Attribute_Definition_Source:
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 10101
Range_Domain_Maximum: 88640
Attribute:
Attribute_Label: County
Attribute_Definition: Colorado county name or New Mexico
Attribute_Definition_Source:
Attribute_Domain_Values:
Unrepresentable_Domain: Character Field
Attribute:
Attribute_Label: Huc
Attribute_Definition: Hydrologic Unit Code
Attribute_Definition_Source: DNR
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 13020101
Attribute:
Attribute_Label: Cover_type
Attribute_Definition: Land cover type classification
Attribute_Definition_Source:
Attribute_Domain_Values:
Unrepresentable_Domain: Character Field
Attribute:
Attribute_Label: Gw_model
Attribute_Definition: Location in or outside of ground water model area
Attribute_Definition_Source: groundwater contractor
Attribute_Domain_Values:
Unrepresentable_Domain: Character Field
Attribute:
Attribute_Label: Acreage
Attribute_Definition: Parcel acreage
Attribute_Definition_Source: ArcView calculation
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 83139
Attribute:
Attribute_Label: Weight
Attribute_Definition: Relative infiltration rate - groundwater model calibration factor
Attribute_Definition_Source:
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: 1
Overview_Description:
Entity_and_Attribute_Overview:
Entity_and_Attribute_Detail_Citation:
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DISTRIBUTION_INFORMATION
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: CWCB
Contact_Person: Ray Bennett
Contact_Position: Special Projects Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 1313 Sherman Street, Room 818
City: Denver
State_or_Province: CO
Postal_Code: 80203
Country: USA
Contact_Voice_Telephone: (303) 866-3585
Contact_Facsimile_Telephone: (303) 866-3589
Contact_Electronic_Mail_Address: ray.bennett@state.co.us
Hours_of_Service: 8-5 MST
Resource_Description:
ArcView Shapefiles
Distribution_Liability:
Standard_Order_Process
Digital_Form ArcView 3.x
Digital_Transfer_Option ArcView 3.x
Fees:
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name:ArcView 3.x
Digital_Transfer_Option:
Offline_Option:
Offline_Media:
Recording_Format:
Compatibility_Information:
ArcView 3.x
Fees:
Ordering_Instructions:
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METADATA_REFERENCE_INFORMATION
Metadata_Date: 20000710
Metadata_Review_Date: 20000710
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Agro Engineering, Inc.
Contact_Person: Kirk Thompson
Contact_Position: Project Manager
Contact_Address:
Address_Type: Mailing and physical address
Address: 0210 Road 2 South
City: Alamosa
State_or_Province: CO
Postal_Code: 81101
Country: USA
Contact_Voice_Telephone: (719) 852-4957
Contact_Facsimile_Telephone: (719) 852-5146
Contact_Electronic_Mail_Address: kirk@agro.com
Hours_of_Service: 8-5 MST
Metadata_Standard_Name: FGDC CSDGM
Metadata_Standard_Version: 19940608
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