2010lc_06apr2016_v2-03_ctstp83.img

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Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Center for Land use Education And Research (CLEAR)

Publication_Date: April 2016

Title: 2010lc_06apr2016_v2-03_ctstp83.img

Edition: version 2.03

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:

<http://clear.uconn.edu>

Description:

Abstract:

LANDSAT Thematic Mapper (TM) satellite imagery based land cover classification, circa 2006, 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 October 8, 2010 and September 22, 2010. The classification was compiled using ERDAS Imagine 2015 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 2010. 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 2.02 land cover, this land cover classification is considered an update and upgrade to CCL v 2.02 land cover. This land cover is not compatible or comparable with CCL v 2.02 land cover products.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 2010

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: -71.738580

North_Bounding_Coordinate: 42.313836

South_Bounding_Coordinate: 40.937111

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: Emily Wilson

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: emily.wilson@uconn.edu

Hours_of_Service: 9:00 - 5:00 Eastern Standard Time

Native_Data_Set_Environment:

Cross_Reference:

Citation_Information:

Originator: Center for Land use Education And Research (CLEAR)

Publication_Date: April 2016

Title: 2010 Land Cover, Greater Connecticut

Edition: version 2.03

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 2010 land cover was derived from a base 2006 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 (2006) to derive an "expected" class average spectral response from another set of image data (2010 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: 2012

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 227, 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 2010 Landsat image based on five groupings of the 2006 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 2006 land cover, those pixels were extracted from the 2010 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 2006 land cover image and the 2010 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 2006 and developed in 2010 would have a large Z-statistic because of the difference in the spectral characteristics between an "expected" forest pixel in 2010 and the existing developed pixel in 2010. Using visual analysis, extracted pixels were compared to the 2010 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 2010 Landsat image. This procedure was followed for each of the five land cover goupings.

Process_Date: 2012

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: 2007

Process_Step:

Process_Description:

COMBINE CLASSIFICATIONS: The 2010 changed pixel classification was merged with the 2006 land cover to produce an updated 2010 land cover classification consistent with the 2006 land cover.

Process_Date: 2012

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 2006 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 2006 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:

NEW FOR VERISON 2.03 ----- HEADSUP DIGITIZING was performed throughout the analysis area to correct apparent classification errors. Additionally, areas previously classified as Deciduous Forest or Coniferous Forest but appeared in the current Landsat imagery to be forest clear-cut areas based on spectral reflectance was reclassified as Other Grasses.

Process_Date: 2016

Process_Step:

Process_Description: Metadata imported.

Source_Used_Citation_Abbreviation:

Process_Date: 20160406

Process_Time: 11475800

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Pixel

Row_Count: 5001

Column_Count: 5457

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: 2010lc_06apr2016_v2-03_ctstp83.img.vat

Attribute:

Attribute_Label: OID

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 may include some agricultural fields and/or other grasses 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 includes forested clear-cut areas, solar panel farms, 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 also 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 also 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 Land

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 from 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: Emily Wilson

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: emily.wilson@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 2015

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 >

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 227, 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