Statewide Impervious 2012

Citation_Information:

Originator: Quantum Spatial Inc., St. Petersburg, FL, Nathaniel Morton, GISP, Geospatial Analytics Team Lead

Publication_Date: 20170901

Title:

Statewide Impervious 2012

Geospatial_Data_Presentation_Form: vector digital data

Abstract:

This is an impervious classification of Connecticut. The thematic information includes three classes in a single feature class: 1-Building, 2-Road and 3-Other. It was based on color infrared aerial imagery with a 1' spatial resolution that was collected between March 18th and 30th, 2012. Impervious features from existing planimetric data sets were updated based on the 2012 imagery through photo interpretation and heads up digitizing through ArcScan. All features greater than 800 square feet in size were included in the data set. The use of ArcScan and the use of the existing planimetric data sets are discussed in the "Lineage/Process Step" section of this metadata report. Upon completion of the entire State of Connecticut the raster images were then vectorized and are supplied at the town level for distribution. The state of Connecticut was collected with the US Census Bureau state boundary, and the town's were clipped using the DEEP TOWN_CLIP.shp. Each town is represented as 1) an .img file and 2) a vectorized feature class within a geodatabase, both consisting of an extent of all of the imagery tiles that contained the town within a 300' buffer, and 3) a vectorized feature class within a geodatabase consisting of the town clipped to the DEEP TOWN_CLIP.shp.

Purpose:

This data set was developed to be used by the Connecticut Department of Energy and Environmental Protection (DEEP) and the UConn Center for Land Use Education and Research (CLEAR) to support planning and decision making for MS4 regulated communities and in other applications where impervious features are concerned.

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 20170901

Currentness_Reference:

Connecticut

Progress: Complete

Maintenance_and_Update_Frequency: Unknown

Bounding_Coordinates:

West_Bounding_Coordinate: -72.841484

East_Bounding_Coordinate: -72.695106

North_Bounding_Coordinate: 41.656680

South_Bounding_Coordinate: 41.546866

Theme:

Theme_Keyword_Thesaurus: Impervious

Theme_Keyword: Impervious Classification

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Connecticut

Use with caution at end user's discretion.

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: UConn Center for Land Use Education and Research (CLEAR)

Contact_Person: David Dickson

Contact_Position: Extension Educator

Contact_Address:

Address_Type: mailing

Address:

PO Box 70 1066 Saybrook Road

City: Haddam

State_or_Province: CT

Postal_Code: 06438

Contact_Voice_Telephone: (860)345-4511

Contact_Electronic_Mail_Address: clear@uconn.edu

Quantum Spatial Inc.

Citation_Information:

Originator: unknown

Publication_Date: 20170901

Title:

Impervious Classification

Process_Step:

Process_Description:

Impervious features were extracted through photo interpretation and heads up ArcScan digitizing of 2012 aerial imagery. The entire image was panned at a scale of about 1:1,000 and the impervious was heads up digitized. After impervious features were digitized the classification went through a quality control (QC) process. During this process the entire project extent was reviewed and all misclassified features were identified. These areas were addressed later by photo interpreters. The process steps for editing the imagery tiles within Esri ArcScan are as follows: 
        1. Convert the image back to three separate images (building, road, other).
        2. Convert three images to binary images. 
        3. Load binary images in ArcMap, set Symbology to "Unique Values". 
        4. Start Editing
        5. In ArcScan toolbar, click [Raster Cleanup]-[Start Cleanup] 
        6. In ArcScan toolbar, select raster name which is to be edited. Switch the raster name if needed during editing. 
        7. Use "Raster Painting" toolbar to do editing. 
        8. When finished, save edits. 
        9. Merge three binary images to deliverable.

Process_Date: 20170901

Process_Step:

Process_Description:

Below is the list of towns displaying the classes that were previously captured in existing planimetric data sets that were provided by the regional COGs. The existing planimetric data sets were then utilized in this update of impervious features for the State of Connecticut. 
        Andover(1): No data set.  
        Ansonia(2): No data set. 
        Ashford(3): No data set. 
        Avon(4): No data set. 
        Barkhamsted(5): No data set. 
        BeaconFalls(6): Partial data set of 2-Road. 
        Berlin(7): No data set. 
        Bethany(8): No data set. 
        Bethel(9): Full data set of 1-Building, 2-Road, and 3-Other. 
        Bethlehem(10): Partial data set of 1-Building and 2-Road. 
        Bloomfield(11): No data set. 
        Bolton(12): No data set. 
       Bozrah(13): No data set. 
       Branford(14): No data set. 
       Bridgeport(15): Full data set of 1-Building, 2-Road, and 3-other. 
       Bridgewater(16): Full data set of 1-Building, 2-Road, and 3-Other. 
       Bristol(17): No data set. 
       Brookfield(18): Full data set of 1-Building, 2-Road, and 3-Other. 
       Brooklyn(19): No data set. 
       Burlington(20): No data set. 
       Canaan(21): No data set. 
       Canterbury(22): No data set. 
       Canton(23): No data set. 
       Chaplin(24): No data set. 
       Cheshire(25): Partial data set of 1-Building, 2-Road, and 3-Other. 
       Chester(26): No data set. 
       Clinton(27): No data set. 
       Colchester(28): No data set. 
       Colebrook(29): No data set. 
       Columbia(30): Partial data set of 1-Building. 
       Cornwall(31): No data set. 
       Coventry(32): Partial data set of 1-Building. 
       Cromwell(33): No data set. 
       Danbury(34): Full data set of 1-Building, 2-Road, and 3-Other. 
       Darien(35): Full data set of 1-Building, 2-Road, and 3-Other. 
       DeepRiver(36): No data set. 
       Derby(37): No data set. 
       Durham(38): No data set. 
       Eastford(39): No data set. 
       EastGranby(40): No data set. 
       EastHaddam(41): No data set. 
       EastHampton(42): No data set. 
       EastHartford(43): No data set. 
       EastHaven(44): No data set. 
       EastLyme(45): No data set. 
       Easton(46): Full data set of 1-Building, 2-Road, and 3-Other. 
       EastWindsor(47): No data set. 
       Ellington(48): No data set. 
       Enfield(49): No data set. 
       Essex(50): No data set. 
       Fairfield(51): Full data set of 1-Building, 2-Road, and 3-Other. 
       Farmington(52): No data set. 
       Franklin(53): No data set. 
       Glastonbury(54): No data set. 
       Goshen(55): No data set. 
       Granby(56): No data set. 
       Greenwich(57): Full data set of 1-Building, 2-Road, and 3-Other. 
       Griswold(58): No data set. 
       Groton(59): No data set. 
       Guilford(60): No data set. 
       Haddam(61): No data set. 
       Hamden(62): No data set. 
       Hampton(63): No data set. 
       Hartford(64): Full data set of 1–Building, 2–Road, and 3–Other. 
       Hartland(65): No data set. 
       Harwinton(66): No data set. 
       Hebron(67): No data set. 
       Kent(68): No data set. 
       Killingly(69): No data set. 
       Killingworth(70): No data set. 
       Lebanon(71): No data set. 
       Ledyard(72): No data set. 
       Lisbon(73): No data set. 
       Litchfield(74): No data set. 
       Lyme(75): No data set. 
       Madison(76): No data set. 
       Manchester(77): No data set. 
       Mansfield(78): Partial data set of 1-Building. 
       Marlborough(79): No data set. 
       Meriden(80): No data set. 
       Middlebury(81): No data set. 
       Middlefield(82): No data set. 
       Middletown(83): No data set. 
       Milford(84): No data set. 
       Monroe(85): Full data set of 1-Building, 2-Road, and 3-Other. 
       Montville(86): No data set. 
       Morris(87): No data set. 
       Naugatuck(88): Partial data set of 2-Road. 
       NewBritain(89): No data set. 
       NewCanaan(90): Full data set of 1-Building, 2-Road, and 3-Other. 
       NewFairfield(91): Full data set of 1-Building, 2-Road, and 3-Other. 
       NewHartford(92): No data set. 
       NewHaven(93): No data set. 
       Newington(94): No data set 
       NewLondon(95): No data set. 
       NewMilford(96): Full data set of 1-Building, 2-Road, and 3-Other. 
       Newtown(97): Full data set of 1-Building, 2-Road, and 3-Other. 
       Norfolk(98): No data set. 
       NorthBranford(99): No data set. 
       NorthCanaan(100): No data set. 
       NorthHaven(101): No data set. 
       NorthStonington(102): No data set. 
       Norwalk(103): Full data set of 1-Building, 2-Road, and 3-Other. 
       Norwich(104): No data set. 
       OldLyme(105): No data set. 
       OldSaybrook(106): No data set. 
       Orange(107): No data set. 
       Oxford(108): Partial data set of 2-Road. 
       Plainfield(109): No data set. 
       Plainville(110): No data set. 
       Plymouth(111): Partial data set of 2-Road. 
       Pomfret(112): No data set. 
       Portland(113): No data set. 
       Preston(114): No data set. 
       Prospect(115): No data set. 
       Putnam(116): No data set. 
       Redding(117): Full data set of 1-Building, 2-Road, and 3-Other. 
       Ridgefield(118): Full data set of 1-Building, 2-Road, and 3-Other. 
       RockyHill(119): No data set. 
       Roxbury(120): No data set. 
       Salem(121): No data set. 
       Salisbury(122): No data set. 
       Scotland(123): No data set. 
       Seymour(124): No data set. 
       Sharon(125): No data set. 
       Shelton(126): No data set. 
       Sherman(127): Full data set of 1-Building, 2-Road, and 3-Other. 
       Simsbury(128): No data set. 
       Somers(129): No data set. 
       Southbury(130): Full data set of 1-Building, 2-Road, and 3-Other. 
       Southington(131): No data set. 
       SouthWindsor(132): No data set. 
       Sprague(133): No data set. 
       Stafford(134): No data set. 
       Stamford(135): Full data set of 1-Building, 2-Road, and 3-Other. 
       Sterling(136): No data set. 
       Stonington(137): No data set.
       Stratford(138): Full data set of 1-Building, 2-Road, and 3-Other. 
       Suffield(139): No data set. 
       Thomaston(140): Partial data set of 2-Road. 
       Thompson(141): No data set. Tolland(142): No data set. 
       Torrington(143): No data set.
       Trumbull(144): Full data set of 1-Building, 2-Road, and 3-Other. 
       Union(145): No data set. 
       Vernon(146): No data set. 
       Voluntown(147): No data set. 
       Wallingford(148): No data set. 
       Warren(149): No data set. 
       Washington(150): No data set. 
       Waterbury(151): Partial data set of 1–Building and 2-Road. 
       Waterford(152): No data set. 
       Watertown(153): Partial data set of 1–Building and 2-Road. 
       Westbrook(154): No data set. 
       WestHartford(155): No data set. 
       WestHaven(156): No data set. 
       Weston(157): Full data set of 1-Building, 2-Road, and 3-Other. 
       Westport(158): Full data set of 1-Building, 2-Road, and 3-Other. 
       Wethersfield(159): No data set. 
       Willington(160): Partial data set of 1 – Building. 
       Wilton(161): Full data set of 1-Building, 2-Road, and 3-Other. 
       Winchester(162): No data set. 
       Windham(163): No data set. 
       Windsor(164): No data set. 
       WindsorLocks(165): No data set. 
       Wolcott(166): No data set. 
       Woodbridge(167): No data set. 
       Woodbury(168): Partial data set of 1–Building, 2–Road, and 3-Other. 
       Woodstock(169): No data set.

Process_Date: 20170901

SDTS_Terms_Description:

SDTS_Point_and_Vector_Object_Type: GT-polygon composed of chains

Point_and_Vector_Object_Count: 13489

Raster_Object_Type: Pixel

Row_Count: 40001

Column_Count: 40001

Planar:

Map_Projection:

Map_Projection_Name: NAD 1983 StatePlane Connecticut FIPS 0600 Feet

Lambert_Conformal_Conic:

NAD 1983 StatePlane Connecticut FIPS 0600 Feet

Standard_Parallel: 41.2

Standard_Parallel: 41.86666666666667

Longitude_of_Central_Meridian: -72.75

Latitude_of_Projection_Origin: 40.83333333333334

False_Easting: 999999.999996

False_Northing: 499999.999998

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair

Coordinate_Representation:

Abscissa_Resolution: 0.000000026813284925708565

Ordinate_Resolution: 0.000000026813284925708565

Planar_Distance_Units: foot_us

Geodetic_Model:

Horizontal_Datum_Name: D North American 1983

Ellipsoid_Name: GRS 1980

Semi-major_Axis: 6378137.0

Denominator_of_Flattening_Ratio: 298.257222101

Entity_Type:

Entity_Type_Label:

Entity_Type_Definition:

Impervious for features greater than 800 sq feet in size.

Entity_Type_Definition_Source:

Hartford

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:

Attribute_Label: Count

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: UConn Center for Land Use Education and Research (CLEAR)

Contact_Person: David Dickson

Contact_Position: Extension Educator

Contact_Address:

Address_Type: mailing

Address:

PO Box 70 1066 Saybrook Road

City: Haddam

State_or_Province: CT

Postal_Code: 06438

Contact_Voice_Telephone: (860)345-4511

Contact_Electronic_Mail_Address: clear@uconn.edu