Harbor Porpoise Survey 1991 (AJ91-02)
Entry ID: seamap288

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Summary
Abstract: The ship survey was performed from 22 July 1991 to 30 August 1991 to estimate the abundance and spatial distribution of harbor porpoises. The study area, covering approximately 13,300 nm , was from Port Clyde, ME to 2 St. John, New Brunswick over to the Nova Scotian coast, up to Liverpool, Nova Scotia.

Purpose: PRIMARY OBJECTIVES 1) Estimate the abundance of harbor porpoises in the Gulf of Maine - Bay of Fundy - Nova Scotia area. 2) Investigate if there are any spatial distribution patterns of the harbor porpoises, and if those patterns are correlated with water depth or harbor porpoise group size. SECONDARY OBJECTIVES 1) Estimate the abundance and spatial distribution of other cetaceans. 2) Determine if ... View entire text
Related URL
Description: Data can be accessed through the OBIS and OBIS-SEAMAP web sites.
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Multimedia Sample
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Caption:  Harbor Porpoise Survey
 
Geographic Coverage
(Click for Interactive Map)
Spatial coordinates   
  N: 45.1   S: 42.81   E: -64.55   W: -69.02

Data Set Citation
Dataset Originator/Creator: NOAA Northeast Fisheries Science Center (NEFSC)
Dataset Title: Harbor Porpoise Survey 1991 (AJ91-02)
Dataset Series Name: OBIS-SEAMAP
Dataset Release Date: 2005-08-17 19:48:21.907246-04
Dataset Release Place: http://seamap.env.duke.edu/
Dataset Publisher: OBIS-SEAMAP
Data Presentation Form: vector digital data
Parent DIF
This data set description is a member of a collection. The collection is described in
OBIS-SEAMAP

Temporal Coverage
Start Date: 1991-07-24
Stop Date: 1991-08-27
Data Resolution
Latitude Resolution: 1 degree
Longitude Resolution: 1 degree
Horizontal Resolution Range: 100 km - < 250 km or approximately 1 degree - < 2.5 degrees
Temporal Resolution: annual
Temporal Resolution Range: Annual
Quality The global land cover data set was modified from the original maximum
likelihood classification result as follows to eliminate stray pixels
that were obviously incorrectly classified: pixels falling within
training areas that were not correctly classified were changed to the
cover type indicated by the ... View entire text
Access Constraints None
Use Constraints Use the following reference in citing use of this data:
DeFries, R. S. and J. R. G. Townshend, 1994a, NDVI-derived land cover
classification at global scales. International Journal of Remote
Sensing, 15:3567-3586. Special Issue on Global Data Sets.
Data Set Progress
COMPLETE
Originating Center
Data Center
Global Land Cover Facility, University of Maryland Supplemental Info
Data Center URL: http://glcf.umiacs.umd.edu/

Data Center Personnel
Name: TASNIMA APOL
Phone: 301-405-7093
Email: esip-order at umiacs.umd.edu
Contact Address:
Global Land Cover Facility
Science Applications Office
University of Maryland Institute
for Advanced Computer Studies
3332 AV Williams Building
City: College Park
Province or State: MD
Postal Code: 20742
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Distribution
Distribution Media: ftp, WWW
Distribution Format: ASCII, binary
Fees: none
Personnel
Role: INVESTIGATOR
Phone: 301-405-4884
Fax: 301-314-9299
Email: rd63 at umail.umd.edu
Contact Address:
Laboratory for Global Remote Sensing Studies
Department of Geography
2181 LeFrak Hall
University of Maryland at College Park
City: College Park
Province or State: MD
Postal Code: 20742-8225
Country: USA
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Publications/References
DeFries, R. S. and J. R. G. Townshend, 1994a, NDVI-derived land cover
classification at global scales. International Journal of Remote
Sensing, 15:3567-3586. Special Issue on Global Data Sets.

DeFries, R. S. and J. R. G. Townshend, 1994b. Global land cover:
comparison of ground-based data sets to ... View entire text
Creation and Review Dates
Last DIF Revision Date: 2009-04-20

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