[Keyword='Gaviota ala glauca']
WADFW Puget Sound Ambient Monitoring Program Winter 99Entry ID: seamap249
Abstract: The metadata edits are in progress. Please contact the contact person
for detail. Aerial surveys of marine birds have been conducted annually since
1992 by the Puget Sound Ambient Monitoring Program (PSAMP) staff during both a
summer (July) and a winter (December to early February) survey window, sampling
some part of every portion of the marine shoreline of the inner marine waters
of Washington state by two strata: nearshore (< 20 meters in depth) and
offshore (> 20 meters in depth). The datasets are split by season (summer or
winter) and year.
Purpose: The purpose of this program is to monitor population trends of either
summer or winter resident species rather than migrations around Puget Sound.
SUPPLEMENTAL INFORMATION: Data correction Mar 17, 2006: Wrong ITIS number for
Unidentified Sea Lion 180623 -> 180615. Data correction Mar 14, 2006: Wrong
ITIS number for Unidentified [Large|Small] Gulls 180297 -> 176802. The
nearshore strata were ... sampled in two fashions: 1) in nearshore habitat that was
relatively narrow, the plane flew parallel to the shoreline generally 100
meters from the high tide line; 2) in nearshore habitat with broad extensive
shallow areas such as river estuaries, the plane flew in an S-pattern to sample
a larger proportion of the habitat available in that locality. The offshore
strata were sampled in a crisscross pattern that zigzagged back and forth
across depth contours, with an attempt made to cut across most all banks and
similar major underwater bathymetric features. There was no attempt made to
survey during the same tidal stage in these areas. The survey always began in
the southernmost study areas and proceeded to the northern portions; therefore
the same areas were usually sampled during the same time of month each year,
give or take a week. The last two summer surveys (1997-98) did not include the
southern and central portions of Puget Sound, due to budget cuts. These areas
were chosen to be continued on a less frequent basis because low and consistent
numbers of birds were seen there during the July survey window in the previous
five summer surveys. Effort data is provided in separate files.
CURRENTNESS REFERENCE: ground condition
SPATIAL REFERENCE INFORMATION - GEODETIC MODEL
Horizontal Datum Name: D_WGS_1984
Ellipsoid Name: WGS_1984
Semi-major Axis: 6378137.000000
Denominator of Flattening Ratio: 298.257224
(Click for Interactive Map)
Data Set Citation
Dataset Originator/Creator: D. Hall, V. Salomonson
Dataset Title: MODIS/Terra Sea Ice Extent Daily L3 Global 1km EASE-Grid Night, Version 4
Dataset Release Date: 2000-09-01
Dataset Release Place: Boulder, CO U.S.A.
Dataset Publisher: National Snow and Ice Data Center (NSIDC)
Version: 4Online Resource: http://nsidc.org/data/mod29p1n.html
Start Date: 2000-02-24Stop Date: 2006-12-31
Latitude Resolution: 1 km
Longitude Resolution: 1 km
Temporal Resolution: Daily
ISO Topic Category
Quality All MODIS/Terra sea ice products are considered validated - stage 1 meaning that accuracy has been estimated using a small number of independent measurements obtained from selected locations and time periods and ground-truth/field program effort. Analysis of the quality of the sea ice data products is an ongoing activity. Specific information on the science quality of the sea ice data products is ... reported in the ScienceQualityFlagExplanation object in the CoreMetadata.0 global attribute. The URL for the quality assessment site is given in the product metadata and is linked to from the EOS Data Gateway (EDG) when ordering data. The ScienceQualityFlagExplanation is changed in response to analysis and should be checked for updated information. In the MOD29 and MOD29P1D data products there are two instances of the ScienceQualityFlagExplanation, one for sea ice determined by reflectance data and one for IST written in the metadata. Information on both is posted at that URL. The Ice Surface Temperature PixelQA and Sea Ice by Reflectance PixelQA data fields provide additional information on algorithm results for each pixel within a spatial context, and are used as a measure of usefulness for sea ice data. QA data are stored as bit flags. QA information is extracted by reading the bits within a byte (See MODIS Sea Ice Quality Assurance Fields). The QA information tells if algorithm results were nominal, abnormal, or if other defined conditions were encountered for a pixel (Riggs, Hall, and Salomonson 2003). See MODIS Land Quality Assessment for further details.
Data Set Progress
Distribution Media: upon request
Distribution Size: 3.69 MB
Distribution Format: HDF-EOS
National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC) Mail stop 614.1
Province or State: MD
Postal Code: 20771
Email: vincent.salomonson at utah.edu
University of Utah Department of Meteorology 135 S 1460 E, Rm 809
City: Salt Lake City
Province or State: UT
Postal Code: 84112
Email: George.A.Riggs at nasa.gov
NASA Goddard Space Flight Center (GSFC) Science Systems and Applications, Inc. Code 614.1
Province or State: MD
Postal Code: 20771
Role: TECHNICAL CONTACT
Phone: +1 (303) 492-6199
Fax: +1 (303) 492-2468
Email: nsidc at nsidc.org
National Snow and Ice Data Center CIRES, 449 UCB University of Colorado
Province or State: CO
Postal Code: 80309-0449
Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) systems and operations concept. Greenbelt, MD: Goddard Space Flight Center.
Hall, D. K., J. L. Foster, D. L. Verbyla, A. G. Klein, and C. S. Benson. 1998. Assessment of snow cover mapping accuracy in a variety of vegetation cover densities in central Alaska. Remote Sensing of the Environment 66:129-137.
Hall, ... Dorothy K., Jeffrey R. Key, Kimberly A. Casey, George A. Riggs, and Donald Cavalieri. May 2004. Sea ice surface temperature product from MODIS. IEEE Transactions on Geoscience and Remote Sensing 42:5.
Hall, D. K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.
Hall, D. K., G. A. Riggs, and V. V. Salomonson. 1995. Development of methods for mapping global snow cover using Moderate Resolution Imaging Spectroradiometer (MODIS). Remote Sensing of the Environment 54(2):127-140.
Hall, D. K., G. A. Riggs, and V. V. Salomonson. September 2001. Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow-, Lake Ice- and Sea Ice-Mapping Algorithms. Greenbelt, MD: Goddard Space Flight Center.
Hapke, B. 1993. Theory of reflectance and emittance spectroscopy. Cambridge: Cambridge University Press.
Key, J. R., J. B. Collins, C. Fowler, and R. S. Stone. 1997. High latitude surface temperature estimates From thermal satellite data. Remote Sensing of the Environment 61:302-309.
Key, J. R., J. A. Maslanik, T. Papakyriakou, M. C. , and A. J. Schweiger. 1994. On the validation of satellite-derived sea ice surface temperature. Arctic 47:280-287.
Markham, B. L. and J. L. Barker. 1986. Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures. EOSAT Technical Notes 1:3-8.
MODIS Characterization and Support Team (MCST). 2000. MODIS Level-1B product user's guide for Level-1B Version 2.3.x Release 2. MCST Document #MCM-PUG-01-U-DNCN.
Pearson II, F. 1990. Map projections: theory and applications. Boca Raton, FL: CRC Press, Inc.
Riggs, G. A., D. K. Hall, and V. V. Salomonson. February 2003. MODIS sea ice products user guide.
Riggs, G. A., D. K. Hall, and S. A. Ackerman. 1999. Sea ice extent and classification mapping with the Moderate Resolution Imaging Spectroradiometer Airborne Simulator. Remote Sensing of the Environment 68: 152-163.
Scambos, Ted A., Terry M. Haran, and Robert Massom. In press. Validation of AVHRR and MODIS Ice Surface Temperature Products Using In Situ Radiometers. Annals of Glaciology 44.
Wiscombe, W. J. and S. G. Warren. 1980. A model for the spectral albedo of snow I: pure snow. Journal of the Atmospheric Sciences 37:2712-2733.
Creation and Review Dates
DIF Creation Date: 2001-02-01
Last DIF Revision Date: 2012-05-13