2002lc_091508_v2-02_ctstp83.img

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Center for Land use Education And Research (CLEAR)
Publication_Date: January 2009
Title: 2002lc_091508_v2-02_ctstp83.img
Edition: version 2.02
Geospatial_Data_Presentation_Form: remote-sensing image
Series_Information:
Series_Name: Connecticut's Changing Landscape Land Cover
Publication_Information:
Publication_Place: Storrs, CT
Publisher: Center for Land use Education And Research (CLEAR)
Online_Linkage:
\\NEMOWEB\D$\A\Data\LuLc\ccl_v2\CCLv2_02_091508_land_cover\2002lc_091508_v2-02_ctstp83.img
Description:
Abstract:
LANDSAT Thematic Mapper (TM) satellite imagery based land cover classification, circa 2002, for the state of Connecticut including local watersheds that intersect the state boundary, and towns in south central Massachusetts that are part of the Quinebaug and Shetucket Rivers Valley National Heritage Corridor. The classification depicts 12 land cover categories. These are: 1. Developed, 2. Turf & Grass, 3. Other Grasses 4. Agriculture 5. Deciduous Forest, 6. Coniferous Forest, 7. Water, 8. Non-forested Wetland, 9. Forested Wetland, 10. Tidal Wetland, 11. Barren Land, 12. Utility Corridors. Source Landsat TM image data were from September 8, 2002 and July 31, 2002. The classification was compiled using ERDAS Imagine 9.2 by the Center for Land use Education And Research (CLEAR) in the College of Agriculture and Natural Resources at the University of Connecticut.
Purpose:
To provide a synoptic view of general land cover for the greater Connecticut area circa 2002. The data is for general information purposes only and is not suitable for site-specific studies or litigation. The classification is intended for use in general, area-wide analysis that can tolerate the errors and inaccuracies within the data.
Supplemental_Information:
NOTE: While derived from CCL v 1.02 land cover, this land cover classification is considered an update and upgrade to CCL v 1.02 land cover. This land cover is not compatible or comparable with CCL v 1.02 land cover products.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2002
Currentness_Reference: Time period based on satellite image collection date.
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Unknown
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -73.755861
East_Bounding_Coordinate: -71.737841
North_Bounding_Coordinate: 42.313836
South_Bounding_Coordinate: 40.936281
Keywords:
Theme:
Theme_Keyword_Thesaurus: FGDC
Theme_Keyword: Land Cover
Theme_Keyword: Land Use
Theme_Keyword: Remote Sensing
Theme_Keyword: Classification
Theme_Keyword: LANDSAT
Theme_Keyword: Thematic Mapper
Theme_Keyword: Satellite Imagery
Place:
Place_Keyword: Connecticut
Place_Keyword:
Quinebaug and Shetucket Rivers Valley National Heritage Corridor
Access_Constraints: None
Use_Constraints:
These data are the intellectual property of the Center for Land use Education And Research (CLEAR) at the University of Connecticut. They may be used for educational and non-commercial purposes provided proper attribution is given. CLEAR permits but does not support secondary distribution of this data. CLEAR is committed to offering users accurate, useful, and current information about the state. Although every effort has been made to ensure the accuracy of information, errors and conditions originating from the source data and processing may be reflected in the data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other conditions specific to this data.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Sandy Prisloe
Contact_Organization:
Center for Land use Education And Research (CLEAR), The University of Connecticut
Contact_Position: Geospatial Extension Specialist
Contact_Address:
Address_Type: mailing address
Address: 1066 Saybrook Road, PO Box 70
City: Haddam
State_or_Province: Connecticut
Postal_Code: 06432-0070
Country: United States
Contact_Voice_Telephone: (860) 345-4511
Contact_Facsimile_Telephone: (860) 345-3357
Contact_Electronic_Mail_Address: sandy.prisloe@uconn.edu
Hours_of_Service: 9:00 - 5:00 Eastern Standard Time
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.1850
Cross_Reference:
Citation_Information:
Originator: Center for Land use Education And Research (CLEAR)
Publication_Date: January 2009
Title: 2002 Land Cover, Greater Connecticut
Edition: version 2.02
Geospatial_Data_Presentation_Form: map
Series_Information:
Series_Name: Connecticut's Changing Landscape Land Cover
Publication_Information:
Publication_Place: Storrs, CT
Publisher: Center for Land use Education And Research (CLEAR)
Online_Linkage: <http://clear.uconn.edu>
Data_Quality_Information:
Lineage:
Process_Step:
Process_Description:
CROSS-CORRELATION ANALYSIS: The 2002 land cover was derived from a base 1995 land cover using Cross-correlation Analysis (CCA). This method was developed by EARTHSAT, Inc. Cross-correlation works by using the land cover categories identified in the base land cover image (1995) to derive an "expected" class average spectral response from another set of image data (2002 Landsat). This information is used to derive a Z-statistic for each pixel falling within a given land cover type. The Z-statistic describes how close a pixel's response is to the "expected" spectral response of its corresponding class value in the land cover image. Pixels that have undergone change between the date of the land cover image and the Landsat image will produce high Z-statistic values while pixels that have not changed will produce low Z-statistic values. The benefit of this technique is that it eliminates the problems associated with radiometric and phenological differences that are so readily experienced when performing change detection.
Process_Date: 2002
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: James Hurd
Contact_Organization:
Center for Land use Education And Research (CLEAR), The University of Connecticut
Contact_Position: Research Associate
Contact_Address:
Address_Type: mailing address
Address: The University of Connecticut
Address: U-4087, Room 308, 1376 Storrs Road
City: Storrs
State_or_Province: Connecticut
Postal_Code: 06269-4087
Country: United States
Contact_Voice_Telephone: (860) 468-2840
Contact_Facsimile_Telephone: (860) 486-5408
Contact_Electronic_Mail_Address: james.hurd_jr@uconn.edu
Hours_of_Service: 9:00-5:00 Eastern Standard Time
Process_Step:
Process_Description:
APPLICATION OF CCA: Cross-correlation Analysis was applied to the 2002 Landsat image based on five groupings of the 1995 land cover. These are: (1) water, (2) deciduous forest, coniferous forest, and forested wetlands, (3) turf & grass, agriculture, and other grasses, (4) barren, and (5) non-forested and tidal wetlands. These groupings were selected because they exhibit similar spectral characteristics. For each land cover grouping from the 1995 land cover, those pixels were extracted from the 2002 Landsat image. The "expected" class average spectral response was then calculated. The expected value is used to derive a Z-statistic for each pixel. The Z-statistic describes how close an individual pixel's spectral response is to the "expected" spectral response. Pixels that have undergone change between the 1995 land cover image and the 2002 Landsat image will have a high Z-statistic value while pixels that have not changed will have low Z-statistic values. Take for example, a pixel that was classified as forest in 1995 and developed in 2002 would have a large Z-statistic because of the difference in the spectral characteristics between an "expected" forest pixel in 2002 and the existing developed pixel in 2002. Using visual analysis, extracted pixels were compared to the 2002 image data to determine the threshold between probable change pixels (above threshold) and no-changed pixels (below threshold). Those pixels identified as changed were extracted from the 2002 Landsat image. This procedure was followed for each of the five land cover goupings.
Process_Date: 2002
Process_Step:
Process_Description:
CLASSIFICATION: For each of the five land cover groupings, ISODATA unsupervised classification was performed to identify the category to which each change pixel now belonged. After each of the five land cover groupings were classified and labeled, they were combined into a single classification layer. This layer was further edited using on-screen digitizing to eliminate apparent errors.
Process_Date: 2002
Process_Step:
Process_Description:
COMBINE CLASSIFICATIONS: The 2002 changed pixel classification was merged with the 1995 land cover to produce an updated 2002 land cover classification consistent with the 1995 land cover.
Process_Date: 2002
Process_Step:
Process_Description:
DATA REVISION: Errors in how the analysis area was clipped were discovered in the 2002 land cover image version 1.01. The clip layer consists of the Connecticut state boundary, Massachusett towns that are part of the Quinebaug and Shetucket Rivers Valley National Heritage Corridor, and interecting local watershed boundaries. The problem existed for those areas outside the Connecticut state boundary and Massachusett towns due to the local watershed layer containing an X and Y shift. The result is that some areas were erroneously excluded from analysis. Landsat data was re-clipped using a corrected local watershed layer, classified, and fused with the original (version 1.01) land cover image.
Process_Date: 2002
Process_Step:
Process_Description:
NEW FOR VERISON 2.02 ----- INCLUSION OF AGRICULTURAL FIELDS: Five existing land cover maps (1992 MRLC, 2000 NLCD, GAP, LERIS 1990, and LERIS 1995) for Connecticut were compared to identify agricultural areas. Where three or more of these land cover maps agreed, and the CCL 2002 land cover map identified Other Grasses, then the pixels were relabeled as Agricultural Fields. These agricultural areas were compared to NAIP high resolution color imagery collected in 2006 and to the original 2002 Landsat image to determine if the area was agriculture. Any errors were identified and labeled appropriately.
Process_Date: 2007-2008
Process_Step:
Process_Description:
NEW FOR VERISON 2.02 ----- CONVERSION OF DEVELOPMENT TO VEGETATION: Due to the process of classifying multiple years of Landsat image data that make up the Connecticut's Changing Landscape dataset, and following the assumption that the devloped category will not convert to other land cover categories over time, it was found that the developed category was being over estimated, particularly in the highly urbanized areas. To reduce the amount of development classified, pixels identified as development in the most recent Landsat data (from 2006) were extracted and reclassified as either development, turf & grass, or deciduous forest. These were then embedded in each of the five dates of land cover (1985, 1990, 1995, 2002, 2006). The result was a better representation of the development and vegetative patterns in the land cover maps, particularly in the highly urbanized areas.
Process_Date: 2008
Process_Step:
Process_Description: Metadata imported.
Source_Used_Citation_Abbreviation:
D:\A\Data\LuLc\ccl_v2\CCLv2_02_091508_land_cover\metadata\2002lc_091508_v2-02_ctstp83.img.xml
Process_Date: 20090203
Process_Time: 11475000
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Row_Count: 5004
Column_Count: 5459
Vertical_Count: 1
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Lambert Conformal Conic
Lambert_Conformal_Conic:
Standard_Parallel: 41.200000
Standard_Parallel: 41.866667
Longitude_of_Central_Meridian: -72.750000
Latitude_of_Projection_Origin: 40.833333
False_Easting: 999999.999996
False_Northing: 499999.999998
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 100.000000
Ordinate_Resolution: 100.000000
Planar_Distance_Units: survey feet
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: 2002lc_091508_v2-02_ctstp83.img.vat
Attribute:
Attribute_Label: ObjectID
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: Value
Attribute_Definition: Class numerical identifier (see class name description)
Attribute:
Attribute_Label: Red
Attribute_Definition: Red class color value (0-255)
Attribute:
Attribute_Label: Green
Attribute_Definition: Green class color value (0-255)
Attribute:
Attribute_Label: Blue
Attribute_Definition: Blue class color value (0-255)
Attribute:
Attribute_Label: Count
Attribute_Definition: Number of pixels identified as a class feature
Attribute:
Attribute_Label: Class_names
Attribute_Definition: Class name
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1. Developed
Enumerated_Domain_Value_Definition:
High-density built-up areas typically associated with commercial, industrial and residential activities and transportation routes. These areas can be expected to contain a significant amount of impervious surfaces, roofs, roads, and other concrete and asphalt surfaces.
Enumerated_Domain:
Enumerated_Domain_Value: 2. Turf & Grass
Enumerated_Domain_Value_Definition:
A compound category of undifferentiated maintained grasses associated mostly with developed areas. This class contains cultivated lawns typical of residential neighborhoods, parks, cemeteries, golf courses, turf farms, and other maintained grassy areas. Also includes some agricultural fields due to similar spectral reflectance properties
Enumerated_Domain:
Enumerated_Domain_Value: 3. Other Grasses
Enumerated_Domain_Value_Definition:
Includes non-maintained grassy areas commonly found along transportation routes and other developed areas, and within and surrounding airport properties. Also likely to include forested clear-cut areas, and some abandoned agricultural areas that appear to be undergoing conversion to woody scrub and shrub cover.
Enumerated_Domain:
Enumerated_Domain_Value: 4. Agricultural Fields
Enumerated_Domain_Value_Definition:
Includes areas that are under agricultural uses such as crop production and/or active pasture. Also likely to include some abandoned agricultural areas that have not undergone conversion to woody vegetation.
Enumerated_Domain:
Enumerated_Domain_Value: 5. Deciduous Forest
Enumerated_Domain_Value_Definition:
Includes southern New England mixed hardwood forests. Also includes scrub areas characterized by patches of dense woody vegetation. May include isolated low density residential areas.
Enumerated_Domain:
Enumerated_Domain_Value: 6. Coniferous Forest
Enumerated_Domain_Value_Definition:
Includes southern New England mixed softwood forests. May include isolated low density residential areas.
Enumerated_Domain:
Enumerated_Domain_Value: 7. Water
Enumerated_Domain_Value_Definition: Open water bodies and watercourses with relatively deep water.
Enumerated_Domain:
Enumerated_Domain_Value: 8. Non-forested Wetland
Enumerated_Domain_Value_Definition:
Includes areas that predominately are wet throughout most of the year and that have a detectable vegetative cover (therefore not open water). Also includes some small water courses due to spectral characteristics of mixed pixels that include both water and vegetation.
Enumerated_Domain:
Enumerated_Domain_Value: 9. Forested Wetland
Enumerated_Domain_Value_Definition:
Includes areas depicted as wetland, but with forested cover. Also includes some small water courses due to spectral characteristics of mixed pixels that include both water and vegetation.
Enumerated_Domain:
Enumerated_Domain_Value: 10. Tidal Wetland
Enumerated_Domain_Value_Definition:
Emergent wetlands, wet throughout most of the year, with distinctive marsh vegetation and located in areas influenced by tidal change.
Enumerated_Domain:
Enumerated_Domain_Value: 11. Barren
Enumerated_Domain_Value_Definition:
Mostly non-agricultural areas free from vegetation, such as sand, sand and gravel operations, bare exposed rock, mines, and quarries. Also includes some urban areas where the composition of construction materials spectrally resembles more natural materials. Also includes some bare soil agricultural fields.
Enumerated_Domain:
Enumerated_Domain_Value: 12. Utility Corridors
Enumerated_Domain_Value_Definition:
Includes utility corridors. This category was manually digitized on-screen from corridors visible in the Landsat satellite imagery. The class was digitized within the deciduous and coniferous categories only.
Attribute:
Attribute_Label: Opacity
Attribute_Definition: Transparency level of class feature (0-1)
Attribute:
Attribute_Label: Acres
Attribute_Definition: Area of land cover feature.
Attribute:
Attribute_Label: Sq mi
Attribute_Definition: Area of land cover feature.
Overview_Description:
Entity_and_Attribute_Overview:
The 12 land cover categories represent general land cover features as they existed during the time of the Landsat Thematic Mapper image collection. These categories were selected based on the constraints of the source imagery, but also on the goals of the project. By maintaining general land cover categories, it can be expected that thematic accuracy will be higher.
Distribution_Information:
Distributor:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Sandy Prisloe
Contact_Organization:
Center for Land use Education And Research (CLEAR), The University of Connecticut
Contact_Position: Geospatial Extension Specialist
Contact_Address:
Address_Type: mailing address
Address: 1066 Saybrook Road, PO Box 70
City: Haddam
State_or_Province: Connecticut
Postal_Code: 06438-0070
Country: United States
Contact_Voice_Telephone: (860) 345-4511
Contact_Facsimile_Telephone: (860) 345-3357
Contact_Electronic_Mail_Address: sandy.prisloe@uconn.edu
Hours_of_Service: 9:00-5:00 eastern Standard Time
Resource_Description: Downloadable Data
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: ERDAS IMAGINE
Format_Version_Number: ERDAS IMAGINE 9.2
Format_Information_Content:
Data can be downloaded for the entire analysis area, within Connecticut boundary, or by Connecticut Planning Region
File_Decompression_Technique: ZIP file
Transfer_Size: 0.000
Fees: Free
Ordering_Instructions:
Go to <http://clear.uconn.edu/projects/landscape/download.asp>
Fill out the online Registration Form to access the download page.
Metadata_Reference_Information:
Metadata_Date: 20090203
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
Center for Land use Education And Research (CLEAR), The University of Connecticut
Contact_Person: James Hurd
Contact_Position: Research Associate
Contact_Address:
Address_Type: mailing address
Address: The University of Connecticut
Address: U-4087, Room 308, 1376 Storrs Road
City: Storrs
State_or_Province: Connecticut
Postal_Code: 06269-4087
Country: United States
Contact_Voice_Telephone: (860) 486-2840
Contact_Facsimile_Telephone: (860) 486-5408
Contact_Electronic_Mail_Address: james.hurd_jr@uconn.edu
Hours_of_Service: 9:00 - 5:00 Eastern Standard Time
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile
Generated by mp version 2.9.6 on Tue Feb 03 12:04:45 2009