njetm01_l1lc: 2001 Level 1 Landsat 7 ETM+ Satellite Image Land Cover Classification of New Jersey (Arc/Info raster grid GIS data, UTM map projection, 30x30 meter spatial resolution)

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator:
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA)
Publication_Date: 2004
Title:
njetm01_l1lc: 2001 Level 1 Landsat 7 ETM+ Satellite Image Land Cover Classification of New Jersey (Arc/Info raster grid GIS data, UTM map projection, 30x30 meter resolution)
Geospatial_Data_Presentation_Form: raster digital data
Series_Information:
Series_Name: Land Use / Land Cover Updates to Year 2000/2001
Publication_Information:
Publication_Place:
Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University
Publisher:
Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University
Other_Citation_Details:
This bulk of this work was funded by the New Jersey Department of Environmental Protection. Additional funding was provided by the U.S. Forest Service, the Jacques Cousteau National Estuarine Research Reserve and the New Jersey Agricultural Experiment Station.
Online_Linkage: <http://crssa.rutgers.edu/projects/lc/>
Larger_Work_Citation:
Citation_Information:
Originator:
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Cook College - Rutgers University
Title: Landscape Change Program at CRSSA
Online_Linkage: <http://crssa.rutgers.edu/projects/lc/>
Description:
Abstract:
As reflected in Year 2000 Census data, New Jersey continues to increase in population. Accompanying that population growth has been significant changes to New Jersey's landscape. To accommodate this growth, housing developments and shopping malls encroach on lands that were formerly farm fields and forests. The rapid pace of development and land use change has resulted in a high demand for updated land use/land cover data to inform ongoing land use planning and growth management programs within New Jersey Department of Environmental Protection (NJDEP) and other state and local agencies.

This 2001 Landsat satellite image land cover classification (GIS) data of New Jersey was generated by the Rutgers University Center for Remote Sensing and Spatial Analysis (CRSSA) for the New Jersey land use updates to year 2000 project. In this Arc/Info raster grid-formatted data, each 30 x 30 meter pixel (about 100 x 100 feet) in New Jersey is assigned a land cover value as mapped by CRSSA. The land cover mapping was undertaken at one level of generalization: Level I, the most generalized with 8 classes. Developed (4 classes of developed: 1) High Intensity (>75% impervious surface (IS) ), 2) Medium intensity (50-75% IS), 3) Low intensity (<50% IS) wooded, 4) Low intensity un-wooded), Cultivated/Grassland, Upland Forest, Barren, Marine/Estuarine Unconsolidated Shoreline, Estuarine Emergent Wetland, Palustrine Wetland, and Water. The Level I classification scheme was designed to meet the needs of the Endangered & Nongame Species Program of the NJDEP's Division of Fish & Wildlife, as well as match previous New Jersey land cover classification and mapping efforts undertaken by Rutgers Center for Remote Sensing & Spatial Analysis (Lathrop, 2000).

Please read all metadata documentation for this raster grid.

Purpose:
To map land cover across New Jersey using 2001 Landsat 7 ETM+ 30m spatial resolution satellite imagery. This product was generated for the Land Use Update to Year 2000 project undertaken by CRSSA and funded by the New Jersey Department of Environmental Protection, the U.S. Forest Service, the Jacques Cousteau National Estuarine Research Reserve and the New Jersey Agricultural Experiment Station.
Supplemental_Information:
-Please refer to the report, 'New Jersey Land Use/Land Cover Update to Year 2000/2001', for information regarding the 2001 land cover and 2000/1999 land use mapping. The report is available at <http://crssa.rutgers.edu/projects/lc/> .

- These data may change as needed, please check back in the future for any notices.

IMPORTANT: As of this writing, no accuracy assessment was yet performed on this data set, however, the developed areas in this raster data grid incorporated land use change data generated using medium resolution SPOTView panchromatic (black&white) 10-meter spatial resolution satellite image composites of New Jersey. An error analysis was performed on these land use change areas and is detailed in the metadata documentation for 'njspt0099_luchange.shp'; this error analysis text can also be found in the report 'Measuring Land Use Change in New Jersey: Land Use Update to Year 2000' (<http://crssa.rutgers.edu/projects/lc/>). Before using this data set, please refer to these documents for more information.

Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 2001 (Landsat imagery)
Single_Date/Time:
Calendar_Date: 1999 (Landsat 7 cloud-fill)
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -75.643113
East_Bounding_Coordinate: -73.873262
North_Bounding_Coordinate: 41.357687
South_Bounding_Coordinate: 38.894089
Keywords:
Theme:
Theme_Keyword: land cover classification
Theme_Keyword: raster data
Theme_Keyword: landscape change
Theme_Keyword: satellite imagery
Theme_Keyword: Landsat
Theme_Keyword: SPOT
Theme_Keyword: CRSSA
Place:
Place_Keyword: New Jersey
Place_Keyword: USA
Temporal:
Temporal_Keyword: 2001
Temporal_Keyword: 1999
Access_Constraints: See 'Use Constraints'.
Use_Constraints:
While efforts have been made to ensure that these data are accurate and reliable, the Center for Remote Sensing and Spatial Analysis, 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 Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University.

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), Cook College, 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. CRSSA, Rutgers University, will not be held responsible to further maintain the disseminated data, nor to provide the data in different formats other than its current availability.
3. Caution: The user should be aware that due to the ground spatial resolution of the Landsat satellite imagery, the data set is not intended for site-specific analysis, however, its intention is to provide the end user with a consistent raster grid representation of land cover across the entire State of New Jersey.
4. Read all composed metadata documentation for important data information.
5. Any maps, publications, reports or any other type of document produced as a result of an associated project utilizing this raster grid will credit the original author(s) as listed in the metadata (citation) as well as 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: Environmental and Natural Resource Sciences Building
Address: Cook College, Rutgers University
Address: 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-4.30PM EST USA
Data_Set_Credit:
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University
Native_Data_Set_Environment:
Microsoft Windows 2000 Version 5.1 (Build 2600) Service Pack 1; ESRI ArcCatalog 8.3.0.800
Cross_Reference:
Citation_Information:
Publication_Date: 2004
Title:
Reports: 'New Jersey Land Use / Land Cover Update: 2000/2001' (CRSSA/NJDEP) and 'Measuring Land Use Change in New Jersey: Land Use Update to Year 2000' (CRSSA)
Other_Citation_Details:
For information about the Landsat-7 satellite including tutorials, product standards, and software, see: <http://landsat7.usgs.gov/>
Online_Linkage: <http://crssa.rutgers.edu/>
Online_Linkage: <http://crssa.rutgers.edu/projects/lc>
Larger_Work_Citation:
Citation_Information:
Series_Information:
Series_Name: Landscape Change Research Program at CRSSA
Publication_Information:
Publisher: CRSSA

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
IMPORTANT: As of this writing, no accuracy assessment was yet performed on this data set, however, the developed areas in this raster data grid incorporated land use change data generated using SPOTView panchromatic (black&white) 10-meter spatial resolution satellite image composites of New Jersey. An error analysis was performed on these land use change areas and is detailed in the metadata documentation for 'njspt0099_luchange.shp'; this error analysis text can also be found in the report 'Measuring Land Use Change in New Jersey: Land Use Update to Year 2000' (<http://crssa.rutgers.edu/projects/lc/>). Before using this data set, please refer to these documents for more information.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The Landsat 7 ETM+ satellite imagery ordered by CRSSA and used for the land cover classification was originally processed by the U.S. Geological Survey EROS Data Center. The image was terrain corrected by the USGS. Known to have positional error +/- 1 pixel (30 meters).
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
The Landsat 7 ETM+ satellite imagery ordered by CRSSA and used for the land cover classification was processed by the U.S. Geological Survey EROS Data Center. The image was terrain corrected by the USGS.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Geological Survey EROS Data Center (ordered by CRSSA through IAGT)
Publication_Date: 2001
Title: Landsat 7 ETM+ satellite imagery
Geospatial_Data_Presentation_Form: remote-sensing image
Online_Linkage: <http://edc.usgs.gov>
Online_Linkage: <http://www.iagt.org>
Source_Scale_Denominator: 30 meter ground spatial resolution
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20010912
Single_Date/Time:
Calendar_Date: 20011201
Single_Date/Time:
Calendar_Date: 19990923 (cloud-fill areas)
Source_Currentness_Reference: ground condition
Source_Contribution:
U.S. Geological Survey EROS Data Center Landsat 7 terrain-corrected satellite imagery ordered by the Center for Remote Sensing and Spatial Analysis (CRSSA) through the Institute for the Application of Geospatial Technology (IAGT).
Process_Step:
Process_Description:
Land Cover Classification

Enhanced Landsat Thematic Mapper (ETM+) satellite imagery was acquired for relatively cloud-free dates in 2001 (December 1, 2001 and September 12, 2001). Cloud covered areas in the September 12, 2001 imagery were replaced with image data from were replaced with September 23, 1999 imagery. The December "leaf-off" imagery was taken after normal deciduous plant leaf fall, allowing the clearer differentiation of evergreen vs. deciduous forests and developed areas. The September "leaf-on" imagery permits the further discrimination of cultivated, wetland and developed areas. The LANDSAT image data sets were all orthorectified to a Universal Transverse Mercator (UTM) projection (UTM Zone 18; datum: NAD 83; spheroid: WGS84 ).

To try to correct for various scene to scene differences in brightness and spectral response (including atmospheric influences), an image-to-image empirical normalization procedure that compared invariant scene targets was used to normalize the 2001 ETM+ imagery to corresponding anniversary Landsat TM from 1994 and 1995. The 1994/1995 LANDSAT TM imagery data were used a baseline (i.e. digital numbers left unchanged) while the 2001 image digital numbers were altered to more closely match the appropriate anniversary image (i.e. Sept. 2001 to Sept. 1995, Dec. 2001 to Nov 1994). Image bands 3, 4, 5 were subsetted from each normalized image and layer-stacked in to one 2001 leaf on-leaf-off composite image.

The land cover mapping was undertaken at one level of generalization: Level I, the most generalized with 8 classes. Developed: 1) High Intensity (>75% IS), 2) Medium intensity (50-75% IS), 3) Low intensity (<50% IS) wooded, 4) Low intensity un-wooded Cultivated/Grassland Upland Forest Barren Marine/Estuarine Unconsolidated Shoreline Estuarine Emergent Wetland Palustrine Wetland Water.

The Level I classification scheme was designed to meet the needs of the Endangered & Nongame Species Program of the NJDEP’s Division of Fish & Wildlife, as well as match previous New Jersey land cover classification and mapping efforts undertaken by Rutgers Center for Remote Sensing & Spatial Analysis (Lathrop, 2000). The 2001 land cover classification employed several standard change detection/mapping techniques (Dobson et al., 1995). The Level 1 Developed land cover categories were further broken down into 4 Level 2 categories based on the % cover of impervious surface (IS): 1) High Intensity (>75% IS), 2) Medium intensity (50-75% IS), 3) Low intensity (<50% IS) wooded, 4) Low intensity (<50% IS) un-wooded.

To map upland land cover change due to urban growth and development, a "Multi-date Change Detection using Ancillary Data Sources" technique was employed using the 2000 Land Use product described above. To further update additional new development that may have occurred subsequent to the Year 2000 mapping, heads-up interpretation and digitizing was accomplished using the 2001 Landsat ETM+ imagery as the image backdrop. Anadditional 5,890 acres of urban and 4,004 acres of transitional land use change between the 2000 and 2001 image dates were mapped. The merged 2000/2001 land use was used to mask the 2001 ETM+ composite image and extract the image data for the developed change area. An unsupervised classification approach using 50 spectral clusters was conducted. These spectral clusters were then cross-referenced with the 2000 NY-NJ Highlands land cover data set (<http://www.crssa.rutgers.edu/projects/highlands>www.crssa.rutgers.edu/projects/highlands) for consistency. A GIS rules-based approach was employed to classify the spectral clusters into appropriate Level 1 land cover classes.

To update land cover changes in the coastal zone, a “Multiple-data Change Detection Using a Binary Change Mask” was employed. The normalized September 2001 ETM+ imagery was differenced from the September 1995 TM imagery. A binary change threshold was determined and the 2001 ETM+ imagery was masked and change data extracted. An unsupervised classification approach using 15 spectral clusters was conducted. A GIS rules-based approach was employed to classify the spectral clusters into appropriate Level 1 land cover classes.

Process_Date: land cover classification processed 2003 by CRSSA
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Richard G. Lathrop
Contact_Organization:
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Cook College - Rutgers University
Contact_Position: Director
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 - 4.30PM EST USA

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 9096
Column_Count: 4935
Vertical_Count: 1

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 18
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.999600
Longitude_of_Central_Meridian: -75.000000
Latitude_of_Projection_Origin: 0.000000
False_Easting: 500000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 30.000000
Ordinate_Resolution: 30.000000
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222

Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: njetm01_l1lc
Attribute:
Attribute_Label: ObjectID
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: Level 1 land cover numeric code
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 111
Enumerated_Domain_Value_Definition: Developed: Highly (>75% impervious surface)
Enumerated_Domain:
Enumerated_Domain_Value: 112
Enumerated_Domain_Value_Definition: Developed: Moderately (50-75% impervious surface)
Enumerated_Domain:
Enumerated_Domain_Value: 113
Enumerated_Domain_Value_Definition: Developed: Lightly - wooded (25-50% impervious surface)
Enumerated_Domain:
Enumerated_Domain_Value: 114
Enumerated_Domain_Value_Definition: Developed: Lightly - unwooded (25-50% impervious surface)
Enumerated_Domain:
Enumerated_Domain_Value: 120
Enumerated_Domain_Value_Definition: Cultivated/Grassland
Enumerated_Domain:
Enumerated_Domain_Value: 140
Enumerated_Domain_Value_Definition: Upland Forest
Enumerated_Domain:
Enumerated_Domain_Value: 160
Enumerated_Domain_Value_Definition: Bare Land
Enumerated_Domain:
Enumerated_Domain_Value: 200
Enumerated_Domain_Value_Definition: Unconsolidated Shore
Enumerated_Domain:
Enumerated_Domain_Value: 210
Enumerated_Domain_Value_Definition: Estuarine Emergent Wetland
Enumerated_Domain:
Enumerated_Domain_Value: 240
Enumerated_Domain_Value_Definition: Palustrine Wetland
Enumerated_Domain:
Enumerated_Domain_Value: 250
Enumerated_Domain_Value_Definition: Water
Attribute:
Attribute_Label: Count
Attribute_Definition:
Total raster cell counts for each category (30m ground spatial resolution)
Attribute_Domain_Values:
Attribute:
Attribute_Label: Level1
Attribute_Definition: level1 numeric code
Attribute:
Attribute_Label: Level1desc
Attribute_Definition: level 1 descriptions
Overview_Description:

Distribution_Information:
Distributor:
Contact_Information:
Contact_Person_Primary:
Contact_Organization: CRSSA @ <http://crssa.rutgers.edu/projects/lc/>
Resource_Description:
2001 Landsat 7 ETM+ satellite image land cover classification of New Jersey.
Distribution_Liability:
While efforts have been made to ensure that these data are accurate and reliable, the Center for Remote Sensing and Spatial Analysis, 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 Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University.

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), Cook College, 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. CRSSA, Rutgers University, will not be held responsible to further maintain the disseminated data, nor to provide the data in different formats other than its current availability.
3. Caution: The user should be aware that due to the spatial resolution of the Landsat satellite imagery, the data set is not intended for site-specific analysis, however, its intention is to provide the end user with a consistent raster grid representation of land cover across the entire State of New Jersey.
4. Read all composed metadata documentation for important data information.
5. Any maps, publications, reports or any other type of document produced as a result of an associated project utilizing this raster grid will credit the original author(s) as listed in the metadata (citation) as well as the Center for Remote Sensing and Spatial Analysis (CRSSA), Rutgers University.

Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 10.752
Technical_Prerequisites:
Geographic Information Systems (GIS); knowledge of raster grid data structure, applications and usage; knowledge of satellite image remote sensing is helpful; understanding the methodologies and context in which the data was processed for this project. Reports are available on the CRSSA web site at <http://crssa.rutgers.edu/projects/lc/> .

Metadata_Reference_Information:
Metadata_Date: 20060320
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA), Cook College - Rutgers University
Contact_Person: Richard G. Lathrop
Contact_Address:
Address_Type: mailing and physical address
Address: Environmental and Natural Resource Sciences Building
Address: 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
Hours_of_Service: M-F 8.30AM - 4.30PM EST USA
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile

Generated by mp version 2.8.6 on Mon Mar 20 09:35:13 2006