Barnegat Bay-Great Bay Land Cover for Coastal Habitat (2007)

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator:
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University
Publication_Date: 20130617
Title: Barnegat Bay-Great Bay Land Cover for Coastal Habitat (2007)
Geospatial_Data_Presentation_Form: raster digital data
Online_Linkage: -
Description:
Abstract:
This land cover mosaic provides detailed land cover data for coastal wetlands and barrier island habitat associated with the Barnegat and Great Bays. These data provide a high level spatial precision (Minimum Mapping Unit = 1/10-acre) and detailed classification within salt marsh, beach-dune, and tidal water systems. Delineation and classification of land cover features was performed using hierarchical object-based image analysis, using eCognition software (Definiens Developer v.7). Upland and urban classification is set to the broadest level of classification as delineated in the NJDEP 2007 Land Use/Land Cover Update (<http://www.state.nj.us/dep/gis/lulc07cshp.html>). This dataset was originally created as a part of the study “Application of Light Detection and Ranging (LiDAR) Data to Support Science-Based Management of Salt Marsh and Barrier Island Habitat in Marine Protected Networks,”a pilot study sought to develop a new methodology for modeling the potential impact of sea level rise on the distribution of coastal and barrier island habitats. The study involved input from the Center for Remote Sensing and Spatial Analysis (CRSSA) at Rutgers University, JC NERR, EBFNWR, the National Oceanographic and Atmospheric Administration, National Geodetic Survey (NOAA NGS), and the Institute of Marine and Coastal Studies (IMCS) at Rutgers University.
Purpose:
The purpose of this dataset is to provide detailed land cover information with a focus on coastal and barrier island land cover types for the purpose of studying species habitat distribution. Specifically the data provides a high level of detail on salt marsh, beach and dune habitat*, and water features associated with the Barnegat and Great Bays.
Supplemental_Information:
PLEASE READ ALL PROVIDED METADATA FOR THIS DATA LAYER.
*IMPORTANT NOTE: This dataset is based on 2007 land cover data and imagery. The distribution of beach and dune habitat is subject to change over time and should not be considered to represent current conditions.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2007
Currentness_Reference: ground condition
Status:
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -74.686231
East_Bounding_Coordinate: -74.043152
North_Bounding_Coordinate: 40.055148
South_Bounding_Coordinate: 39.340426
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Categories
Theme_Keyword: biota
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: land cover
Theme_Keyword: coastal habitat
Theme_Keyword: coastal wetlands
Theme_Keyword: barrier islands
Theme_Keyword: image classification
Theme_Keyword: eCog
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Barnegat Bay
Place_Keyword: Great Bay
Place_Keyword: New Jersey
Access_Constraints:
For copies of the GIS raster data layer, please contact Richard G. Lathrop, Rutgers University Center for Remote Sensing and Spatial Analysis (CRSSA) Director: lathrop@crssa.rutgers.edu, 848-932-1582.
Use_Constraints:
While efforts have been made to ensure that these data are accurate and reliable within the state of the art, Rutgers University cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. Rutgers University makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Terms of Use:

The user agrees to abide by the following terms of use:

1. The Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University, disseminates this data layer as-is and makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.
2. The user will read all metadata for this data product.
3. CRSSA, Rutgers University, will not be held responsible to further maintain the disseminated data.
4. Any maps, publications, reports or any other type of document produced as a result of an associated project utilizing Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University, data will credit the Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Richard G. Lathrop
Contact_Organization:
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University
Contact_Position: Director
Contact_Address:
Address_Type: mailing and physical address
Address: 14 College Farm Road
City: New Brunswick
State_or_Province: New Jersey
Postal_Code: 08901
Country: USA
Contact_Voice_Telephone: 848-932-1582
Contact_Electronic_Mail_Address: lathrop@crssa.rutgers.edu
Data_Set_Credit:
GIS data generated by the Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.0.3035

Data_Quality_Information:
Lineage:
Source_Information:
Type_of_Source_Media: None
Source_Contribution:
New Jersey 2007 - 2008 High Resolution Orthophotography. State of New Jersey Office of Information Technology, Office of Geographic Information Systems (NJOIT)
Source_Information:
Type_of_Source_Media: None
Source_Contribution:
FEMA RiskMAP Atlantic, Ocean, and Monmouth, NJ Area of Interest (AOI). RAMPP, a Production and Technical Services (PTS) contractor for FEMAs RiskMAP
Source_Information:
Type_of_Source_Media: None
Source_Contribution:
NJDEP 2007 Land Use/Land Cover Update. NJ Department of Environmental Protection (NJDEP), Office of Information Resources Management (OIRM), Bureau of Geographic Information System (BGIS)
Process_Step:
Process_Description:
Delineation and classification of land cover features was performed using hierarchical object-based image analysis, using eCognition software (Definiens Developer v.7). Object-based analysis involves a two-step process of segmentation and classification. The segmentation step defines objects by minimizing variation within groups of adjacent cells in a series of raster datasets. The inclusion and weighting of each dataset can be set manually. The result is a new vector data layer containing polygons delineating the boundary of each object. Every cell is included in an object. The classification step assigns each object to a class by running a series of tests for inclusion into each class. Each test determines whether the value of some attribute (e.g., mean pixel value in a given layer, the ratio of the object’s width to its length, distance from objects of a given class, etc.) fits within a given threshold that defines a given class. The process is hierarchical in that, once a set of objects is classified, it is possible to identify features of more specific subclasses by running subsequent classification procedures within each class iteratively.

In this case, the raster layers included were: Layer 1: The NJDEP 2007 Land Use/Land Cover Update (WMAs 13, 14, and 15) merged and clipped to 20,000 x 20,000-ft. tiles. These were converted to IMAGINE Image format (3ft cell resolution) with the value field equal set to the top level (broadest classes) classification value.

Layers 2 – 5: New Jersey 2007 - 2008 High Resolution Orthophotography 5000 foot tiles mosaicked to 20,000 x 20,000-ft. tiles and converted to IMAGINE Image format (1ft cell resolution was retained). Each layer corresponds to a specific region of the color spectrum: Layer 2 = Blue, Layer 3 = Green, Layer 4 = Red, Layer 5 = Near Infrared (NIR).

Layer 6: A Normalized Difference Vegetation Index (NDVI) surface generated from the above orthophotography. The output of this process was saved to IMAGINE Image format (1ft cell resolution was retained).

Layer 7: A vegetation height surface generated from FEMA RiskMAP Atlantic, Ocean, and Monmouth, NJ Area of Interest (AOI) LiDAR data by subtracting the first return surface (exported to IMAGINE Image format; 3ft cell resolution) from the digital elevation model (DEM) (projected to NAD_1983_StatePlane_New_Jersey_FIPS_2900_Feet, resampled to 3ft cell resolution, and clipped to 20,000 x 20,000-ft. tiles) to remove the effect of variations in terrain.

Layer 8: The NJDEP 2007 Land Use/Land Cover Update (WMAs 13, 14, and 15) merged and clipped to 20,000 x 20,000-ft. tiles. These were converted to IMAGINE Image format (3ft cell resolution) with the value field equal set to the lowest level (most specific classes) classification value.

These layers were then loaded into the Definiens Developer software. The 20,000 x 20,000-ft. multi-layer tiles were then resampled to create a uniform 3ft cell resolution across all layers. The tiles were then split in half to accommodate limitations in processing power. Segmentation parameters were equally weighted between layers 1, 5, and 8. The first classification pass was used to stratify objects in the scene based on the top level NJDEP LU/LC data. Further classification was performed only on the wetlands, water, and barren land classes. Within these, six subsequent classification iterations were run to produce the raw output. These results were refined through visual interpretation. Finally, the refined results were exported to IMAGINE Image format (3ft cell resolution). These tiles were brought into ArcGIS ver. 10.1. Features smaller than the MMU were removed using the Nibble tool. Finally, the resulting tiles were mosaicked using the Mosaic to New Raster tool.

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Row_Count: 86668
Column_Count: 60002

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Transverse Mercator
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9999
Longitude_of_Central_Meridian: -74.5
Latitude_of_Projection_Origin: 38.83333333333334
False_Easting: 492125.0
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.000000007285705372339636
Ordinate_Resolution: 0.000000007285705372339636
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: Barnegat-GreatBay_CoastalHabitat.img.vat
Entity_Type_Definition:
Thematic land cover data focusing on coastal and barrier island habitat types
Entity_Type_Definition_Source: CRSSA
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:
Numeric value associated with each land cover class. These values were automatically generated by Definiens Developer, and do not represent any structured code.
Attribute_Definition_Source: CRSSA
Attribute_Domain_Values:
Unrepresentable_Domain:
Numeric value associated with each land cover class. These values were automatically generated by Definiens Developer, and do not represent any structured code.
5 => Barren; 7 => Forested Wetlands; 11 => Salt Marsh - Low; 12 => Salt Marsh - High; 14 => Phragmites Dominated Wetlands; 15 => Agricultural Wetlands; 16 => Disturbed Wetlands; 20 => Vegetated Dune - Shrub Dominated; 21 => Vegetated Dune - Sand/Grass; 22 => Beach Sand; 24 => Stream/Canal; 25 => Natural Lake; 26 => Artificial Lake; 28 => Dredged Lagoon; 29 => Atlantic Ocean; 30 => Interior Tidal Waters; 31 => Bay; 32 => Mosquito Ditch; 33 => Subtidal Ponds/Pools; 34 => Panne; 35 => Intertidal Mud/Sand Flats; 36 => Agriculture; 37 => Forest; 38 => Rangeland; 39 => Urban; 40 => Interior Herbaceous Wetlands;
Attribute:
Attribute_Label: Count
Attribute_Definition: The number of 3-ft cells of each given class.
Attribute_Definition_Source: CRSSA
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 1584316990
Attribute:
Attribute_Label: Red
Attribute_Definition:
Value used by ArcGIS to maintain consistent symbology for display.
Attribute_Definition_Source: CRSSA
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 1
Attribute:
Attribute_Label: Green
Attribute_Definition:
Value used by ArcGIS to maintain consistent symbology for display.
Attribute_Definition_Source: CRSSA
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 1
Attribute:
Attribute_Label: Blue
Attribute_Definition:
Value used by ArcGIS to maintain consistent symbology for display.
Attribute_Definition_Source: CRSSA
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 1
Attribute:
Attribute_Label: Class_Name
Attribute_Definition: The descriptive name of each land cover class.
Attribute_Definition_Source: CRSSA
Attribute_Domain_Values:
Unrepresentable_Domain: The descriptive name of each land cover class.

Distribution_Information:
Distribution_Liability: See access and use constraints information.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Raster Dataset
Transfer_Size: 0.000
Digital_Transfer_Option:

Metadata_Reference_Information:
Metadata_Date: 20130614
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: David Smith
Contact_Organization:
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University
Contact_Address:
Address_Type: mailing and physical address
Address: 14 College Farm Road
City: New Brunswick
State_or_Province: New Jersey
Postal_Code: 08901
Country: USA
Contact_Instructions:
John Bognar, GIS Coordinator, CRSSA-Rutgers University, johnb@crssa.rutgers.edu, 848-932-1582
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time

Generated by mp version 2.9.6 on Wed Jun 19 12:12:28 2013