New Jersey 1984 Level 3 Land Cover Classification

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator:
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University
Publication_Date: 20001017
Title: New Jersey 1984 Level 3 Land Cover Classification
Online_Linkage: http://www.crssa.rutgers.edu/projects/lc/
Larger_Work_Citation:
Citation_Information:
Title:
This product is one in a series of three, the other two being NJ 1995 level 3 land cover and NJ 1972 level 1 land cover.
Description:
Abstract:
Land use and land cover are two approaches for describing land.  Land use is a description of the way that humans are utilizing any particular piece of land for one or many purposes.  Comparatively, land cover is the bio-physical material covering the earth's surface at any particular location.  Together land use and land cover information provide a good indication of the landscape condition and processes that are occurring at a particular place.  Time series of land use/land cover maps tell us how much of the landscape is changing, as well as what changes have occurred and where the changes are taking place.  Accurate and timely mapping of land use/land cover provides vital information on the state of the environment, development trends and wildlife habitat among others.

One of the most effective ways to map land use/land cover is through the use of remote sensing imagery collected from satellites and aircraft.  Remote sensing satellites orbit at hundreds of miles above the earth continually imaging the surface and transmitting the images back to ground stations for use by the research community.  This technology is an excellent medium for monitoring the condition of land throught the globe.  Photography taken from airplanes is also useful, especially where greater detail of the land surface is needed.  New satellite sensors are now approaching the detail once provided exclusively by aerial photography.  Advanced computer processing techniques allows the images to be combined with other environmental data sets to map land cover.  Mapping land use requires visual interpretation by experienced image interpreters and is a time consuming labor intensive process.  Remote sensing technology is widely used at the Grant F. Walton Center for Remote Sensing & Spatial Analysis at Rutgers University to provide data for landscape change, wildlife habitat and watershed planning, management and research.
Purpose:
In cooperation with the New Jersey Department of Environmental Protection (NJDEP) and the National Oceanic & Atmospheric Administration (NOAA), the Grant F. Walton Center for Remote Sensing & Spatial Analysis (CRSSA), Rutgers University, has completed a Land Cover Change Analysis Project for the State of New Jersey.  This project is one component of CRSSA's New Jersey Landscape Change research program (http://www.crssa.rutgers.edu/projects/lc/).  The goal of the program is to monitor New Jersey's changing landscape and provide feedback to the various local, state and federal agencies concerned with the success of failure of land use and habitat management policies in New Jersey.  The more immediate objective of this project was to develop a standardized information base on the present land cover of New Jersey and to map trends in land cover change during the 1970-1980-1990's time period.
Supplemental_Information: The land cover types are not to be taken as legally binding.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1984
Ending_Date: 1984
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: 446196.086
East_Bounding_Coordinate: 594246.086
North_Bounding_Coordinate: 4578466.222
South_Bounding_Coordinate: 4305586.222
Keywords:
Theme:
Theme_Keyword: land cover
Theme_Keyword: satellite image classification
Theme_Keyword: change detection
Theme_Keyword: landscape
Theme_Keyword: habitat
Place:
Place_Keyword: New Jersey
Place_Keyword: Middle Atlantic States
Place_Keyword: United States
Temporal:
Temporal_Keyword: 1984
Access_Constraints: None.
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.  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 original author(s) as listed in the metadata as well as the Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University.  Data set is not for use in litigation.
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, Rutgers University
Contact_Position: Director
Contact_Address:
Address_Type: mailing and physical address
Address:
Grant F. Walton Center for Remote Sensing and Spatial Analysis
Natural Resources and Environmental Sciences Building
Cook College - Rutgers University
14 College Farm Road
City: New Brunswick
State_or_Province: New Jersey
Postal_Code: 08901-8551
Country: USA
Contact_Voice_Telephone: 732-932-1582
Contact_Facsimile_Telephone: 732-932-2587
Contact_Electronic_Mail_Address: lathrop@crssa.rutgers.edu
Hours_of_Service: M-F 8.30am to 4.30pm, US Eastern Standard Time
Data_Set_Credit:
Grant F. Walton Center for Remote Sensing and Spatial Analysis, Rutgers University
Native_Data_Set_Environment: Arc/Info, ERDAS IMAGINE
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report: No independent accuracy assessment was conducted for the 1984 data set.  See metadata for the 1995 attribute accuracy assessment information.
Logical_Consistency_Report:
Tests for logical consistency indicate that all row and column positions in the selected geographic window contain data within the New Jersey study area mask. Attribute files appear to be logically consistent.
Completeness_Report:
The classification scheme comprehensively includes all anticipated land covers, and all pixels within the New Jersey study area mask have been classified.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The positional accuracy and precision of this database is based on the Landsat Thematic Mapper (TM) image data. The scene was georectified to the UTM Zone 18 coordinates, spheroid GRS1980, datum nad83.
Quantitative_Horizontal_Positional_Accuracy_Assessment:
Horizontal_Positional_Accuracy_Value: +/- 0.5 pixels
Horizontal_Positional_Accuracy_Explanation: +/- 15 meters
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Earth Oberstaion Satellite Company (now known as Space Imaging)
Publication_Date: Unknown
Publication_Time: Unknown
Geospatial_Data_Presentation_Form: remote-sensing image
Other_Citation_Details:
Landsat Thematic Mapper scenes processed:
Path     Row     Date
14       31      September 21, 1984
14       31      November 8, 1984
14       32      September 21, 1984
14       32      November 8, 1984
14       33      September 21, 1984
14       33      November 8, 1984
Type_of_Source_Media: CD-ROM and 8mm tape
Process_Step:
Process_Description:  The 1984 level 3 land cover classification was developed using methods as closely comparable to those applied to create the 1995 level 3 land cover data.  A 1984 composite data set of September and November NDVI and Landsat Thematic Mapper Band 5 data along with the wetland composite and housing unit density layers was created similar in format to the 1995 data set and used.  Because the 1984 data were normalized and to try to keep the classification for the two time peroids as closely comparable as possible, the same training 100 signatures developed for 1995 were used to initially classify the 1984 data.  An urban mask similarly developed for the 1995 data was applied to further aid in land cover class assignment in 1984.  AOI (Area of Interest - ERDAS IMAGINE) was used to clean up areas of obvious misclassification.  Final level 3 classification data were filtered to eliminate single pixel class occurrences, therefore, the minimum mapping unit is approximately a fifth of a hectare (approximately half of an acre).
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Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster - Arc/Info GRID
Raster_Object_Information:
Raster_Object_Type: Grid Cell, 30 x 30 meter cell resolution
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Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: GRS1980
Projection: UTM
Zone: 18
Units: Meters
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Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: njtm84l3lc.vat
Entity_Type_Definition: Value Attribute Table
Entity_Type_Definition_Source: None
Overview_Description:
Entity_and_Attribute_Overview:
The value attribute table contains the default 'value' and 'count' fields as well as their respective level 3 land cover codes and descriptions.  Additionally, CRSSA has included each category's respective level 2 and level 1 codes and descriptions.


* VALUE ATTRIBUTE TABLE INFORMATION

Field: VALUE
Input Width,Output Width,Type: 4,10,B
Description: Default GRID field - cell value

Field: COUNT
Input Width,Output Width,Type: 4,10,B
Description: Default GRID field - cell count

Field: LEVEL3
Input Width,Output Width,Type: 3,3,I
Description: Level 3 Land Cover Category number-code

Field: LEVEL3DESC
Input Width,Output Width,Type: 100,100,C
Description: Level 3 Land Cover Category Descriptions

Field: LEVEL2
Input Width,Output Width,Type: 3,3,I
Description: Level 2 Land Cover Category number-code

 Field: LEVEL2DESC
 Input Width,Output Width,Type: 80,80,C
 Description: Level 2 Land Cover Category Descriptions

  Field: LEVEL1
  Input Width,Output Width,Type: 3,3,I
  Description: Level 1 Land Cover Category number-code

  Field: LEVEL1DESC
  Input Width,Output Width,Type: 32,32,C
  Description: Level 1 Land Cover Category Descriptions

Attribute_Domain_Values
  Enumerated_Domain:

                             Enumerated_Domain_Value: 111
                             Enumerated_Domain_Value_Definition: Developed: Highly (>75% impervious surface)
                             Enumerated_Domain_Value: 112
                             Enumerated_Domain_Value_Definition: Developed: Moderately (50-75% impervious surface)
                            Enumerated_Domain_Value: 113
                             Enumerated_Domain_Value_Definition: Developed: Lightly - wooded (25-50% impervious surface)
                             Enumerated_Domain_Value: 114
                             Enumerated_Domain_Value_Definition: Developed: Lightly - unwooded (25-50% impervious surface)
                             Enumerated_Domain_Value: 120
                             Enumerated_Domain_Value_Definition: Cultivated (actively tilled, fallow and recently abandoned)
                             Enumerated_Domain_Value: 131
                             Enumerated_Domain_Value_Definition: Grassland: unmanaged (grazed land, old fields, abandoned land)
                             Enumerated_Domain_Value: 132
                             Enumerated_Domain_Value_Definition: Grassland: managed (golf courses, residential/corporate lawn,
         parks)
                             Enumerated_Domain_Value: 133
                             Enumerated_Domain_Value_Definition: Grassland: airport
                             Enumerated_Domain_Value: 141
                             Enumerated_Domain_Value_Definition: Upland Forest: Coastal Plain Oak dominant (Oak > 75%)
                             Enumerated_Domain_Value: 142
                             Enumerated_Domain_Value_Definition: Upland Forest: Coastal Plain Oak-pine (Oak 50-75%)
                             Enumerated_Domain_Value: 143
                             Enumerated_Domain_Value_Definition: Upland Forest: Coastal Plain Pine-oak (Pine 50-75%)
                             Enumerated_Domain_Value: 144
                             Enumerated_Domain_Value_Definition: Upland Forest: Coastal Plain Pine dominant (Pine > 75%)
                             Enumerated_Domain_Value: 145
                             Enumerated_Domain_Value_Definition: Upland Forest: Highlands/Piedmont deciduous - mixed hardwoods
         dominant
                             Enumerated_Domain_Value: 146
                             Enumerated_Domain_Value_Definition: Upland Forest: Highlands/Piedmont mixed deciduous/coniferous -
         hemlock/pine
                             Enumerated_Domain_Value: 147
                             Enumerated_Domain_Value_Definition: Upland Forest: Highlands/Piedmont mixed deciduous/coniferous -
         red cedar/pine
                             Enumerated_Domain_Value: 148
                             Enumerated_Domain_Value_Definition: Upland Forest: Highlands/Piedmont coniferous - hemlock/pine
         dominant
                             Enumerated_Domain_Value: 149
                             Enumerated_Domain_Value_Definition: Upland Forest: Highlands/Piedmont coniferous - red
         cedar/pine/plantation dominant
                             Enumerated_Domain_Value: 151
                             Enumerated_Domain_Value_Definition: Upland Scrub/Shrub: Coastal Plain mixed deciduous/coniferous
                             Enumerated_Domain_Value: 152
                             Enumerated_Domain_Value_Definition: Upland Scrub/Shrub: Coastal Plain mixed deciduous/coniferous -
         maritime/dune
                             Enumerated_Domain_Value: 153
                             Enumerated_Domain_Value_Definition: Upland Scrub/Shrub: Highlands/Piedmont mixed
         deciduous/coniferous
                             Enumerated_Domain_Value: 160
                             Enumerated_Domain_Value_Definition: Barren soil/rock (sand/gravel pits, barren < 25% vegetation)
                             Enumerated_Domain_Value: 200
                             Enumerated_Domain_Value_Definition: Marine/Estuarine Unconsolidated shore: sand, mud/organic
                             Enumerated_Domain_Value: 211
                             Enumerated_Domain_Value_Definition: Estuarine emergent marsh: low salt marsh - Spartina alterniflora
         dominant (>50%)
                             Enumerated_Domain_Value: 212
                             Enumerated_Domain_Value_Definition: Estuarine emergent marsh: high salt marsh - Spartina patens
         dominant (>50%)
                             Enumerated_Domain_Value: 213
                             Enumerated_Domain_Value_Definition: Estuarine emergent marsh: high salt marsh - Phragmites australis
         dominant (>50%)
                             Enumerated_Domain_Value: 214
                             Enumerated_Domain_Value_Definition: Brackish tidal/fresh tidal marsh: mixed species
                             Enumerated_Domain_Value: 220
                             Enumerated_Domain_Value_Definition: Riverine/lacustrine/palustrine unconsolidated shore:
         sand/mud/organic
                             Enumerated_Domain_Value: 230
                             Enumerated_Domain_Value_Definition: Riverine/lacustrine/palustrine emergent marsh: mixed species
                             Enumerated_Domain_Value: 241
                             Enumerated_Domain_Value_Definition: Wetland Forest: Coastal Plain hardwood swamp (>66% deciduous)
                             Enumerated_Domain_Value: 242
                             Enumerated_Domain_Value_Definition: Wetland Forest: Coastal Plain pine lowland (>66% evergreen)
                             Enumerated_Domain_Value: 243
                             Enumerated_Domain_Value_Definition: Wetland Forest: Coastal Plain mixed - hardwood/white
         cedar-pine-holly
                             Enumerated_Domain_Value: 244
                             Enumerated_Domain_Value_Definition: Wetland Forest: Coastal Plain white cedar swamp (>66%
         evergreen)
                             Enumerated_Domain_Value: 245
                             Enumerated_Domain_Value_Definition: Wetland Scrub/shrub: Coastal Plain mixed
                             Enumerated_Domain_Value: 246
                             Enumerated_Domain_Value_Definition: Wetland Forest: Highlands/Piedmont hardwood swamp (>66%
         deciduous)
                             Enumerated_Domain_Value: 247
                             Enumerated_Domain_Value_Definition: Wetland Forest: Highlands/Piedmont mixed -
         hardwood/hemlock/white cedar/pine
                             Enumerated_Domain_Value: 248
                             Enumerated_Domain_Value_Definition: Wetland Forest: Highlands/Piedmont conifer swamp -
         hemlock/cedar/pine dominant (>66% evergreen)
                             Enumerated_Domain_Value: 249
                             Enumerated_Domain_Value_Definition: Wetland Scrub/shrub: Highlands/Piedmont mixed
         deciduous/evergreen
                             Enumerated_Domain_Value: 251
                             Enumerated_Domain_Value_Definition: Marine/Estuarine Open water
                             Enumerated_Domain_Value: 252
                             Enumerated_Domain_Value_Definition: Riverine/Lacustrine/Palustrine Open water
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Distribution_Information:
Resource_Description:
The 1984 New Jersey level 3 Landsat TM satellite image land cover classification was completed as part of the Grant F. Walton Center for Remote Sensing and Spatial Analysis' on-going land cover / land use mapping efforts in the greater New Jersey region.
Distribution_Liability:
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.  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 original author(s) as listed in the metadata as well as the Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University.  Data set is not for use in litigation.
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Metadata_Reference_Information:
Metadata_Date: 20001017
Metadata_Review_Date: 20001017
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Richard G. Lathrop
Contact_Organization:
Grant F. Walton Center for Remote Sensing and Spatial Analysis, Rutgers University
Contact_Position: Director
Contact_Address:
Address_Type: mailing and physical address
Address:
Grant F. Walton Center for Remote Sensing and Spatial Analysis
Natural Resources and Environmental Sciences Building
Cook College - Rutgers University
14 College Farm Road
City: New Brunswick
State_or_Province: New Jersey
Postal_Code: 08904-8551
Country: USA
Contact_Voice_Telephone: 732-932-1582
Contact_Facsimile_Telephone: 732-932-2587
Contact_Electronic_Mail_Address: lathrop@crssa.rutgers.edu
Hours_of_Service: 8.30am to 4.30pm Eastern Standard Time (EST) USA
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
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Generated by mp version 2.4.30 on Tue Oct 17 09:06:00 2000