Modeled Restorable Wetlands, Commonwealth of Pennsylvania, Statewide, 2013

• 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:University of Vermont Spatial Analysis Laboratory

Publication_Date:20190630

Title:

Modeled Restorable Wetlands, Commonwealth of Pennsylvania, Statewide, 2013

Geospatial_Data_Presentation_Form:vector digital data

Description:

Abstract:

High-resolution dataset depicting restorable wetlands in Pennsylvania. It includes agricultural fields that have topographic, hydrological flow, and climate characteristics indicative of wetlands. Theoretically, these features could be restored as wetlands if different land uses were practiced at each site.The primary sources used to derive this restorable wetlands layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, 2013 high-resolution land-cover data, and moderate-resolution predictive wetlands maps incorporating topography, hydrological flow potential, and climate data. This dataset is considered current based on the 2013 land-cover map.Restorable wetlands were mapped using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account land-cover boundaries imposed by the 2013 land-cover map. Using this technique, a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product was both accurate and cartographically coherent.This dataset was developed to support land-cover mapping and modeling initiatives in Pennsylvania.This vector version was derived from the original 1-meter raster layer.

Purpose:

This dataset was developed to support land-cover mapping and modeling initiatives in the Commonwealth of Pennsylvania.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date:20130830

Currentness_Reference:

ground condition

Status:

Progress:Complete

Maintenance_and_Update_Frequency:None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate:-80.986314

East_Bounding_Coordinate:-74.223424

North_Bounding_Coordinate:42.699221

South_Bounding_Coordinate:38.929348

Keywords:

Theme:

Theme_Keyword_Thesaurus:None

Theme_Keyword:Restorable Wetlands

Theme:

Theme_Keyword_Thesaurus:ISO 19115 Topic Categories

Theme_Keyword:environment

Theme_Keyword:inlandWaters

Place:

Place_Keyword_Thesaurus:None

Place_Keyword:Pennsylvania

Temporal:

Temporal_Keyword_Thesaurus:None

Temporal_Keyword:2013

Temporal_Keyword:2005-2008

Access_Constraints:None

Use_Constraints:

None

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:University of Vermont Spatial Analysis Laboratory

Contact_Person:Jarlath O'Neil-Dunne

Contact_Position:Director

Contact_Address:

Address_Type:mailing and physical

Address:

Aiken Room 205

Address:

81 Carrigan Drive

City:Burlington

State_or_Province:VT

Postal_Code:05405

Country:US

Contact_Voice_Telephone:802-656-3324

Contact_Facsimile_Telephone:802-656-8683

Contact_Electronic_Mail_Address:joneildu@uvm.edu

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:University of Vermont Spatial Analysis Laboratory

Contact_Person:Jarlath O'Neil-Dunne

Contact_Position:Director

Contact_Address:

Address_Type:mailing and physical

Address:

81 Carrigan Drive

Address:

Aiken Center Room 205

City:Burlington

State_or_Province:VT

Postal_Code:05405

Country:US

Contact_Voice_Telephone:802-656-3324

Contact_Facsimile_Telephone:802-656-8683

Contact_Electronic_Mail_Address:joneildu@uvm.edu

Data_Set_Credit:

This dataset was developed by the University of Vermont Spatial Analysis Laboratory in collaboration with Patrick Raney of Ducks Unlimited.  Funding was provided by the U.S. Environmental Protection Agency through a grant with the Pennsylvania Department of Environmental Protection and the Western Pennsylvania Conservancy.  An earlier project focusing on the Chesapeake Bay Watershed portion of Pennsylvania was funded by the National Park Service and Environmental Protection Agency under a collaborative grant with the Chesapeake Bay Conservancy.

Native_Data_Set_Environment:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.4.1.5686

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

No accuracy assessment was performed for this layer.  However, a companion wetlands layer developed using the same modeling workflow had an overall accuracy of 83.84%.

Logical_Consistency_Report:

Each polygon has been assigned a valid restorable wetland code.

Completeness_Report:

Complete coverage for the study area using the most recent boundary data.

Lineage:

Source_Information:

Type_of_Source_Media:onLine

Source_Contribution:

Leaf-off, 3-band, 1-foot (0.3-meter) resolution orthoimagery acquired for Pennsylvania during the period 2005-2008.

Source_Information:

Type_of_Source_Media:None

Source_Contribution:

Leaf-off, 3.281-foot (1-meter) resolution LiDAR for Pennsylvania, acquired during the period 2006-2008.

Source_Information:

Type_of_Source_Media:None

Source_Contribution:

3.281-foot (1-meter) resolution land-use\land-cover (LULC) for the Commonwealth of Pennsylvania, current as of 2013.  This map was previously created by the UVM Spatial Analysis Laboratory using the same orthoimagery and LiDAR datasets as listed above, augmented by 3.281-foot (1-meter) 2013 National Agricultural Imagery Program  (NAIP) and ancillary vector datasets for roads and hydrology.  The classes in this layer were:  1) Water: 2) Emergent Wetlands; 3) Tree Canopy; 4) Scrub\Shrub; 5) Low Vegetation; 6) Barren; 7) Structures; 8) Other Impervious Surfaces; 9) Roads; 10) Tree Canopy over Structures; 11) Tree Canopy over Other Impervious Surfaces; and 12) Tree Canopy over Roads.  Produced by the University of Vermont Spatial Analysis Laboratory.

Source_Information:

Type_of_Source_Media:None

Source_Contribution:

32.81-foot (10-meter) resolution predictive wetlands maps incorporating topography, hydrological flow potential, and climate data.  One map depicted emergent wetlands (PEM) and a second depicted a combination of scrub\shrub (PSS) and forested (PFO) wetlands.  These maps represented the probability (0 to 1) of a wetland type occurring at an individual site.  Produced by Patrick Raney of Ducks Unlimited.

Process_Step:

Process_Description:

Object based image analysis (OBIA) using a rule-based expert system developed in eCognition 9.4 (Trimble).  In a preliminary modeling step, developed features from the 2013 LULC layer for Pennsylvania (Buildings, Roads, Impervious Surfaces) were burned directly into a draft map, eliminating these areas from further consideration.  Water was also incorporated from the available land-cover data to ensure smooth transitions between restorable wetlands and adjacent open-water features (e.g., lakes, ponds, rivers).  Active agricultural fields were then estimated using vegetation height as derived from the available DEM.

In an initial segmentation step, all mapped agricultural fields were segmented into objects representing actual landscape features using a Compound Topographic Index (CTI) developed from the 2006-2008 LiDAR.  This CTI layer incorporated topography and hydrological flow potential.  Candidate restorable-wetland objects were selected using CTI texture as calculated for each object using an edge extraction function in eCognition.  CTI texture better captures transitions between restroable wetlands and upland features compared to original CTI values.  Additional classification steps included selection criteria with the spectral characteristics of leaf-off orthoimagery and 10-m statistical models summarizing climate, soils, and topography.  Following a second segmentation at a finer scale, which created smaller objects, the classification was refined with error-checking routines that removed false positives.  The shape and contiguity of identified restorable-wetland objects was then improved with gap-filling and smoothing routines.  The final map was exported in vector format.

Process_Date:20180502

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:217245

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name:Albers Conical Equal Area

Albers_Conical_Equal_Area:

Albers Conical Equal Area

Standard_Parallel:29.5

Standard_Parallel:45.5

Longitude_of_Central_Meridian:-96.0

Latitude_of_Projection_Origin:23.0

False_Easting:0.0

False_Northing:0.0

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method:coordinate pair

Coordinate_Representation:

Abscissa_Resolution:0.0000000037527980722984474

Ordinate_Resolution:0.0000000037527980722984474

Planar_Distance_Units:meter

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_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label:ModeledRestorableWetlands_2013_Pennsylvania

Entity_Type_Definition:

Restorable Wetlands

Entity_Type_Definition_Source:

Project specific

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:Class_name

Attribute_Definition:

Restorable wetlands

Attribute_Definition_Source:

University of Vermont Spatial Analysis Laboratory

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value:Restorable Wetlands

Enumerated_Domain_Value_Definition:

Agricultural fields that have the topographic, hydrological flow, and climate characteristics of wetland features.  Under the right circumstances, these features could theoretically be modified to restore wetland structure and function.

Enumerated_Domain_Value_Definition_Source:

University of Vermont Spatial Analysis Laboratory

Attribute:

Attribute_Label:Shape_Leng

Attribute:

Attribute_Label:Shape_Area

Attribute_Definition:

Area of feature in internal units squared.

Attribute_Definition_Source:

Esri

Attribute_Domain_Values:

Unrepresentable_Domain:

Positive real numbers that are automatically generated.

Overview_Description:

Entity_and_Attribute_Overview:

Restorable Wetlands

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:Pennsylvania Spatial Data Access (PASDA)

Contact_Address:

Address_Type:mailing and physical address

Address:

115 Land and Water building

City:University Park

State_or_Province:Pennsylvania

Postal_Code:16802

Country:United States

Contact_Voice_Telephone:(814) 865 - 8792

Contact_Electronic_Mail_Address:pasda@psu.edu

Distribution_Liability:

The USER shall indemnify, save harmless, and, if requested, defend those parties involved with the development and distribution of this data, their officers, agents, and employees from and against any suits, claims, or actions for injury, death, or property damage arising out of the use of or any defect in the FILES or any accompanying documentation. Those parties involved with the development and distribution excluded any and all implied warranties, including warranties or merchantability and fitness for a particular purpose and makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance. Those parties involved with the development and distribution of this data will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.

Metadata_Reference_Information:

Metadata_Date:20190930

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:University of Vermont Spatial Analysis Laboratory

Contact_Person:Jarlath O'Neil-Dunne

Contact_Position:Director

Contact_Address:

Address_Type:mailing and physical

Address:

81 Carrigan Drive

Address:

Aiken Center Room 205

City:Burlington

State_or_Province:VT

Postal_Code:05405

Country:US

Contact_Voice_Telephone:802-656-3324

Contact_Facsimile_Telephone:802-656-8683

Contact_Electronic_Mail_Address:joneildu@uvm.edu

Metadata_Standard_Name:FGDC Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version:FGDC-STD-001-1998

Metadata_Time_Convention:local time

Metadata_Use_Constraints:

The organizations responsible for generating and funding this dataset make no representations of any kind including, but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.Although every effort has been made to ensure the accuracy of information, errors may be reflected in 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 condition. Secondary distribution must be accompanied by this documentation. Credit should always be given to the data source when this data is transferred, altered, or used for analysis.