20190212
13324900
1.0
FALSE
va_sav_habitat_2015_2019_wm
002
0.000
-8623265.179800
-8378668.109800
4424180.459700
4709312.443900
1
Projected
GCS_WGS_1984
WGS_1984_Web_Mercator_Auxiliary_Sphere
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Linear Unit: Meter (1.000000)
20210113
15085000
20210113
15085000
FGDC
FGDC CSDGM Metadata
Simple
FALSE
0
TRUE
FALSE
va_sav_habitat_2015_2019_wm
Feature Class
0
VIMS
VIMS - SAV Program
OBJECTID
OBJECTID
OID
4
0
0
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SHAPE
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Geometry
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sav_hab
sav_hab
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Esri
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Esri
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Virginia Institute of Marine Science
SAV Data Administrator
mailing and physical address
Rt. 1208, Greate RD
Gloucester Point
VA
23062
USA
804/684-7088
savadmin@vims.edu
U.S. Department of Commerce, 1977, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions (Federal Information Processing Standard 10-3):Washington, D.C., National Institute of Standards and Technology.
US
10
24
51
U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of The United States, and associated areas (Federal Information Processing Standard 5-2):Washington ,D. C., National Institute of Standards and Technology.
VA
MD
U.S. Postal State Abbreviations
DE
Chesapeake Bay
None
Chincoteague Bay
SAV
vegetative surface cover
submerged aquatic vegetation
The 2010 Chesapeake Bay SAV Coverage was mapped from 1:24,000 black and white aerial photography to assess water quality in the Bay. Each area of SAV was interpreted from the rectified photography and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS fetaure class using the quality control procedures documented below. The dataset contains all SAV areas that were identified from the areas flown. Some areas that are presumed to contain no SAV were not flown. Some small beds, particularly along narrow tributaries may not have been distinguishable on the aerial photography.
The annual SAV aerial photographic monitoring program provides a comprehensive and accurate measure of change in SAV relative abundance that has been used to link improving water quality to increases in bay living resources.
en
20100507
20101010
ground condition
Irregular
-77.500
-75.000
39.750
36.500
None
None
SAV Ecology, Monitoring, & Restoration Program, Virginia Institute of Marine Science
ArcGIS Metadata
1.0
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The 2010 Chesapeake Bay SAV Coverage was mapped from 1:24,000 black and white aerial photography to assess water quality in the Bay. Each area of SAV was interpreted from the rectified photography and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS fetaure class using the quality control procedures documented below. The dataset contains all SAV areas that were identified from the areas flown. Some areas that are presumed to contain no SAV were not flown. Some small beds, particularly along narrow tributaries may not have been distinguishable on the aerial photography.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
The annual SAV aerial photographic monitoring program provides a comprehensive and accurate measure of change in SAV relative abundance that has been used to link improving water quality to increases in bay living resources.
SAV Ecology, Monitoring, & Restoration Program, Virginia Institute of Marine Science
Virginia Institute of Marine Science
SAV Data Administrator
804/684-7088
Rt. 1208, Greate RD
Gloucester Point
VA
23062
US
savadmin@vims.edu
U.S. Department of Commerce, 1977, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions (Federal Information Processing Standard 10-3):Washington, D.C., National Institute of Standards and Technology.
US
U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of The United States, and associated areas (Federal Information Processing Standard 5-2):Washington ,D. C., National Institute of Standards and Technology.
10
51
24
U.S. Postal State Abbreviations
DE
MD
VA
Chesapeake Bay
Chincoteague Bay
SAV
vegetative surface cover
submerged aquatic vegetation
Chesapeake Bay
DE
MD
10
SAV
51
vegetative surface cover
Chincoteague Bay
VA
submerged aquatic vegetation
US
24
Access constraints: None
None
None
Access constraints: None
None
ground condition
20100507
20101010
1
-77.500
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36.500
39.750
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
Chesapeake Bay SAV Annual Monitoring GIS Dataset, 2010
20110315
20111031
20111031
Virginia Institute of Marine Science
Rt. 1208 Greate RD
Gloucester Point
VA
23062
savadmin@vims.edu
USA
804/684-7088
002
0
original metadata
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File Geodatabase Feature Class
0.000
http://www.vims.edu/bio/sav
dataset
EPSG
8.8(9.3.1.2)
20210113
2010 SAV Aerial photography
9x9 inch b&w negatives
5/7/2010 - 10/10/2010
24000
2010 SAV Aerial photography
Airphotographics Inc
2115 Kelly Island Road
Martinsburg
WV
25405
info@airphotographics.com
USA
(800) 624-8993
(304) 267-0918
20101010
20101010
2009 SAV Orthophoto Mosaics
5/7/2010 - 10/10/2010
24000
2009 SAV Orthophoto Mosaics
20111215
20111215
Virginia Institute of Marine Science
State boundaries adjusted to include shore areas
State boundaries adjusted to include shore areas
20081006
20081006
Virginia Instute of Marine Science
New 2004 Chesapeake Bay Program Segments adjusted to include land areas
New 2004 Chesapeake Bay Program Segments adjusted to include land areas
20081006
20081006
Virginia Institute of Marine Science
Scanned aerial photographs were georectified and orthographically corrected to produce a seamless series of aerial mosaics following a set of standard operating procedures (SOP). Leica LPS image processing software was used to orthographically correct the individual flight lines using a bundle block solution. Camera lens calibration data was matched to the image location of fiducial points to define the interior camera model. Control points from USGS DOQQ images provide the exterior control, which is enhanced by a large number of image-matching tie points produced automatically by the software. The exterior and interior models were combined with a 30-meter resolution digital elevation model (DEM) from the USGS National Elevation Dataset (NED) to produce an orthophoto for each aerial photograph.
The orthophotographs that cover each USGS 7.5 minute quadrangle area were adjusted to approximately uniform brightness and contrast and were mosaicked together using the Leica GeoSystems ERDAS Imagine mosaic tool to produce a one-meter resolution quad-sized mosaic.
20101215
The SAV beds were interpreted on-screen from the orthophoto mosaics using ESRI ArcGIS software. The identification and delineation of SAV beds by photo interpretation utilized all available information including: knowledge of aquatic grass signatures on film, distribution of SAV in 2010 from aerial photography, 2010 ground survey information, and aerial site surveys.
In addition to delineating SAV bed boundaries, an estimate of SAV density within each bed was made by visually comparing each bed to an enlarged crown density scale similar to those developed for estimating crown cover of forest trees from aerial photography. Bed density was categorized into one of four classes based on a subjective comparison with the density scale. These were: 1, very sparse (<10% coverage); 2, sparse (10-40%); 3, moderate (40-70%); or 4, dense (70-100%). Either the entire bed or subsections within the bed were assigned a bed density number (1 to 4) corresponding to the above density classes. Some beds were subsectioned to delineate variations of SAV density. Additionally, each distinct SAV bed or bed subsection was assigned an identifying one or two letter designation unique to its map. Coupled with the appropriate SAV map number and year of photography, these letter designations uniquely identify each SAV bed in the database.
20110315
The bay segments were overlayed on the dataset by VIMS staff, dividing any beds that fell into multiple segments.
20110315
he state boundaries were overlayed on the dataset by VIMS staff, dividing any beds that fell into multiple states.
20110315
The density attribute for all beds has been reviewed by an experienced photo-interpreter for correctness and consistency with analysis for prior years.
Horizontal positional accuracy is based upon orthorectification of scanned aerial photography using USGS digital orthothophoto quadrangles for horizontal control and USGS 30m DEM data as vertical control. Horizontal RMSE for individual flightlines was held to less than four meters.
The GIS data has been cross-checked against data tables and ground observations.
The dataset contains all SAV areas that were identified from the areas flown. Some areas that are presumed to contain no SAV were not flown. Some small beds, particularly along narrow tributaries may not have been distinguishable on the aerial photography.
Virginia Institute of Marine Science
SAV Data Administrator
Rt. 1208 Greate Rd.
Gloucester Point
VA
32061
savadmin@vims.edu
USA
804/684-7088
None