New Jersey 1972 Level 1 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 1972 Level 1 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 level 3 land cover for both 1984 and 1995.
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 (this 1972 land cover, however, utilizes Landsat Multispectral Scanner (MSS) data which is coarser (80-meter spatial resolution) than the Landsat Thematic Mapper (TM) sensor data (30-meter spatial resolution) used for the 1984 and 1995 New Jersey land cover data products in this series).  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: 1972
Ending_Date: 1972
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: 449719.750
East_Bounding_Coordinate: 593079.750
North_Bounding_Coordinate: 4578447.472
South_Bounding_Coordinate: 4305887.472
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: 1972
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:

 
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 Multispectral (MSS) satellite image data. The scenes were 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: +/- 40 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 Multispectral scenes processed:
Path     Row     Date
15       31      October 10, 1972
15       32      October 10, 1972
15       33      October 10, 1972
Type_of_Source_Media: 9-track tape
Process_Step:
Process_Description:  Due to the coarser spatial (80 m) and spectral (4 Visible, near infrared bands) of the Landsat Multispectral (MSS) imagery, only a generalized Level I (8 class) classification scheme was employed.  A combination of unsuperivised clustering, GIS rules-based and on-screen digitizing approaches were used to classify the corrected Landsat MSS 1972 image data set using the ERDAS image processing software.  A composite wetland file (combination of NJDEP Freshwater Wetlands (FWW) and National Wetland Inventory (NWI)) was used to stratify the Landsat MSS imagery into wetlands vs. uplands (i.e., any pixel that was classified as a wetland in the NWI or FWW maps was masked out as wetland).  The wetlands and uplands imagery were separately processed using unsupervised clustering (50 clusters each, .95 convergence).  Spectral classes were assigned to 1 or a mixture of 1 or 2 land cover information classes by overlaying the spectral class map on-top of the original imagery and visual interpretation on-screen.  The land cover percentages (e.g., Developed with approximately > 50% developed surface) are estimates made by ocular estimation of the aerial photography and Landsat imagery, no systematic ground checking was used to support these estimates.

 In the initial identification of spectral classes, some clusters could not be solely assigned to one particular land cover category.  To assign spectral clusters to their appropriate land cover category with sufficient classification accuracy, a GIS rules-based approach was undertaken as for the Landsat TM 94/95 and 84 classifications.  The United States Geological Survey Land Use/Land Cover data set (1:250,000 scale derived from high altitude aerial photography nearly coincident in time to the Landsat MSS), along with the user-digitized (primarily on-screen) masks were used to develop a series of classification rules in the IMAGINE Spatial Modeler.  These wetland and USGS LU/LC digital data sets, originally in vector format, were rasterized to an 80m grid cell to match the Landsat MSS data.
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Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster - Arc/Info GRID
Raster_Object_Information:
Raster_Object_Type: Grid Cell, 80 x 80 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: njmss72l1lc.vat
Entity_Type_Definition: Value Attribute Table
Entity_Type_Definition_Source: None
Overview_Description:
Entity_and_Attribute_Overview:


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

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

Attribute_Domain_Values
               Enumerated_Domain:
                 Enumerated_Domain_Value: 110
                 Enumerated_Domain_Value_Definition: Developed
                 Enumerated_Domain_Value_Definition: developed land
                 Enumerated_Domain_Value: 120
                 Enumerated_Domain_Value_Definition: Cultivated/Grassland
                 Enumerated_Domain_Value_Definition: cultivated-agricultural land/grassland
                 Enumerated_Domain_Value: 140
                 Enumerated_Domain_Value_Definition: Upland Forest
                 Enumerated_Domain_Value_Definition: upland forest-shrub/scrub
                 Enumerated_Domain_Value: 160
                 Enumerated_Domain_Value_Definition: Bare Land
                 Enumerated_Domain_Value_Definition: barren soil/rock-sand/gravel pits
                 Enumerated_Domain_Value: 200
                 Enumerated_Domain_Value_Definition: Unconsolidated Shore
                 Enumerated_Domain_Value_Definition: unconsolidated shore: sand, mud/organic
                 Enumerated_Domain_Value: 210
                 Enumerated_Domain_Value_Definition: Estuarine Emergent Wetland
                 Enumerated_Domain_Value_Definition: coastal wetland
                 Enumerated_Domain_Value: 240
                 Enumerated_Domain_Value_Definition: Palustrine Wetland
                 Enumerated_Domain_Value_Definition: freshwater emergent/forested wetland
                 Enumerated_Domain_Value: 250
                 Enumerated_Domain_Value_Definition: Water
                 Enumerated_Domain_Value_Definition: water

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Distribution_Information:
Resource_Description:
The 1972 New Jersey level I Landsat Multispectral Scanner (MSS) 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 17:28:55 2000