Hudson River Valley Gap Analysis 30m Land Cover (FGDC metadata)

Citation:

Citation_Information:

Originator: Hudson River Estuary Program (HREP)

Publication_Date: 2005

Title: Hudson River Valley Gap Analysis 30m Land Cover

Geospatial_Data_Presentation_Form: raster digital data

Online_Linkage: https://cugir.library.cornell.edu/catalog/cugir-007896

Description:

Abstract: This land cover data of the Hudson River Valley (New York) has a 30m pixel resolution, and was derived from Landsat-5 satellite imagery from 1992 and 1993.

Purpose: The Hudson River Valley GAP Analysis Project (HRV-GAP) uses the New York State GAP Analysis Project (NY-GAP) database to perform analyses and answer research questions directly related to the Hudson River Valley (HRV).

Supplemental_Information: The 30 meter minimum mapping unit (mmu) land cover map for the HRV consists of 38 land cover types. The classification scheme is consistent with a modified NVCS hierarchy (Grossman et al. 1998) and can be cross-referenced with Reschke (1990) community types. It was developed for the New York State and the Hudson River Valley Gap Analysis Projects (NY-GAP, HRV-GAP). The classification scheme is based on land cover types that include alliance and super-alliance level classifications of vegetated communities, as well as more generalized classes for water, built environments, and spectral obstructions. Alliances are a physiognomically distinct group of plant associations that share dominant species. However, due to the nature of spectral data, some alliances were combined or modified to form super-alliances. As used in NY-GAP, a super-alliance is a combination of alliances with dominant species that either belong to the same genus or occur under similar environmental conditions. *** Expert opinion from the New York Natural Heritage Program staff, literature reviews, and field surveys were used to enhance and adapt the NY-GAP classification scheme for use in the HRV. Alliances and super-alliances were added or subtracted based on presence or absence in the HRV, spectral distinguishability, and importance to natural resource managers.

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 1992

Ending_Date: 1993

Currentness_Reference: ground condition

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -74.806419

East_Bounding_Coordinate: -73.241627

North_Bounding_Coordinate: 42.982985

South_Bounding_Coordinate: 40.472841

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: Land cover

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category

Theme_Keyword: environment

Theme_Keyword: imageryBaseMapsEarthCover

Theme:

Theme_Keyword_Thesaurus: CUGIR Category

Theme_Keyword: landcover

Theme_Keyword: environment

Place:

Place_Keyword_Thesaurus: LCSH

Place_Keyword: Hudson River Valley (N.Y. and N.J.)

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Albany County

Place_Keyword: Bronx County

Place_Keyword: Columbia County

Place_Keyword: Dutchess County

Place_Keyword: Greene County

Place_Keyword: Kings County

Place_Keyword: New York County

Place_Keyword: Orange County

Place_Keyword: Putnam County

Place_Keyword: Queens County

Place_Keyword: Rensselaer County

Place_Keyword: Richmond County

Place_Keyword: Rockland County

Place_Keyword: Ulster County

Place_Keyword: Westchester County

Access_Constraints: none

Use_Constraints: none

Point_of_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Leslie Zucker

Contact_Organization: Hudson River Estuary Program

Contact_Address:

Address_Type: mailing and physical

Address: 206 Fernow Hall

Address: Cornell University

City: Ithaca

State_or_Province: New York

Postal_Code: 14853

Country: USA

Contact_Voice_Telephone: 607-254-5478

Contact_Electronic_Mail_Address: laz5@cornell.edu

Browse_Graphic:

Browse_Graphic_File_Name: https://cugir-data.s3.amazonaws.com/00/78/96/preview.png

Browse_Graphic_File_Description: preview of the dataset

Browse_Graphic_File_Type: PNG

Data_Quality_Information

Attribute_Accuracy:

Attribute_Accuracy_Report: For the complete accuracy assessment report, refer to DeGloria, S.D., M. Laba, and J. Braden (2005) Hudson Valley Land Cover Map Accuracy Assessment. NY Cooperative Fish and Wildlife Research Unit, Department of Natural Resources, Cornell University, Ithaca, NY.

Logical_Consistency_Report: No information provided.

Completeness_Report: Complete coverage for the following counties: Albany, Bronx, Columbia, Dutchess, Greene, Kings, New York, Orange, Putnam, Queens, Rensselaer, Richmond, Rockland, Ulster, Westchester.

Lineage:

Process_Step:

Process_Description: Landsat-5 TM multi-spectral digital imagery provided to NY-GAP by the Multi- Resolution Land Characteristics Interagency Consortium (MRLC) was the primary source of spectral data for mapping the distribution of land cover types in the HRV. Parts of the three TM scenes were required to provide coverage of the HRV. Pre-processing of the digital imagery was conducted at the EROS Data Center under the auspices of the MRLC agreement (http://www.epa.gov/mrlc). Each scene was geo-referenced to the Universal Transverse Mercator (UTM) coordinate system, extended Zone 18 (New York Transverse Mercator, NYTM), North American Datum of 1983 (NAD83), and resampled to a 30 meter square pixel using a cubic convolution resampling algorithm. The root mean square error (RMSEx,y) resulting from the resampling process was less than 30 meters in both x and y dimensions. (Smith, C.R., S.D. DeGloria, M.E. Richmond, S.K. Gregory, M. Laba, S.D. Smith, J.L. Braden, W.P. Brown, E.A. Hill. 2001. An Application of Gap Analysis Procedures to Facilitate Planning for Biodiversity Conservation in the Hudson River Valley, Final Report, Part 1: Gap Analysis of the Hudson River Valley and Part 2: Atlas of Predicted Ranges for Terrestrial Vertebrates in the Hudson River Valley. New York Cooperative Fish and Wildlife Research Unit, Department of Natural Resources, Cornell University, Ithaca, NY.)

Process_Date: Unknown

Process_Step:

Process_Description: Converted from Esri grid .adf to .tif by CUGIR staff.

Process_Date: 20170612

Process_Step:

Process_Description: CUGIR staff created custom color table

Process_Date: 20190523

Spatial_Data_Organization_Information

Spatial_Reference_Information

Entity_and_Attribute_Information

Entity_Type:

Entity_Type_Label: hrv_30m.vat

Entity_Type_Definition: Hudson River Valley 30m grid cell

Entity_Type_Definition_Source: HREP

Attributes:

Name

Description

Values

VALUE

Pixel value representing the predominant land cover type

coded values

Rowid

Internal feature number.

Sequential unique whole numbers that are automatically generated.

COUNT

Pixel count of land cover type.

0 to unbounded

AREA

Total area of land cover type, in 10,000s of square meters.

0 to unbounded

PERCENT

Percentage of land cover type.

0 to 100

LAND_COVER

Land cover type. See pixel values above for complete list.

text

AAREPORT_CODE

Accuracy Assessment Report code

SUBCLASS#

Subclass ID

SUPERALLIANCE#

Super-alliance ID

Distribution_Information

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Albert R. Mann Library

Contact_Address:

Address_Type: mailing and physical

Address: Cornell University

City: Ithaca

State_or_Province: New York

Postal_Code: 14853

Contact_Voice_Telephone: 607-255-5406

Contact_Electronic_Mail_Address: mann-ref@cornell.edu

Distribution_Liability: Cornell University provides these geographic data "as is". Cornell University makes no guarantee or warranty concerning the accuracy of information contained in the geographic data. Cornell University further makes no warranty either expressed or implied, regarding the condition of the product or its fitness for any particular purpose. The burden for determining fitness for use lies entirely with the user. Although these files have been processed successfully on computers at Cornell University, no warranty is made by Cornell University regarding the use of these data on any other system, nor does the fact of distribution constitute or imply any such warranty.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: GeoTIFF

Format_Information_Content: zipped geotiff

File_Decompression_Technique: zip

Transfer_Size: 9.69

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: https://cugir-data.s3.amazonaws.com/00/78/96/cugir-007896.zip

Digital_Form:

Digital_Transfer_Information:

Format_Name: metadata

Format_Information_Content: FGDC XML metadata

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: https://cugir-data.s3.amazonaws.com/00/78/96/fgdc.xml

Digital_Form:

Digital_Transfer_Information:

Format_Name: HTML metadata

Format_Information_Content: FGDC HTML metadata

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: https://cugir-data.s3.amazonaws.com/00/78/96/fgdc.html

Digital_Form:

Digital_Transfer_Information:

Format_Name: OGC:WMS

Format_Information_Content: WMS, from GeoServer

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: https://cugir.library.cornell.edu/geoserver/cugir/wms?version=1.1.0&request=GetMap&layers=cugir007896&bbox=-74.85336276000001,40.39753668,-73.19468323999999,43.05828932&width=159&height=256&srs=EPSG:4326&format=image/png

Fees: None

Hudson River Valley Gap Analysis 30m Land Cover

Identification_Information

Data_Quality_Information

Spatial_Data_Organization_Information

Spatial_Reference_Information

Entity_and_Attribute_Information

Distribution_Information

Metadata_Reference_Information