20230524
16124600
1.0
FALSE
MD_SAVHabitat_2016To2020_Final_with_Counties_wm
22.412
-8623265.179800
-8360807.533200
4423291.785500
4810611.178400
1
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20230817
15442600
20230817
15442600
150000000
5000
FGDC
FGDC CSDGM Metadata
Virginia Institute of Marine Science
SAV Data Administrator
Rt. 1208 Greate Rd.
Gloucester Point
VA
32061
savadmin@vims.edu
USA
804/684-7088
ArcGIS Metadata
1.0
http://www.vims.edu/bio/sav
22.412
ESRI 10.1
File Geodatabase Feature Class
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The 2015 Chesapeake Bay SAV Coverage was mapped from digital multispectral imagery with a 25cm GSD to assess water quality in the Bay. Each area of SAV was interpreted from the rectified imagry 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. This layer is the combination of SAV polygons from 2016 to 2020. It shows the location of SAV habitat over that 5 year period.
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
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None</SPAN></P></DIV></DIV></DIV>
Access constraints: None
None
ground condition
2016-05-25T00:00:00
2016-11-17T00:00:00
2016-2020 Chesapeake Bay SAV Habitat Coverage
2017-08-31T00:00:00
2017-12-20T01:00:00
2017-12-20T00:00:00
Virginia Institute of Marine Science
Rt. 1208 Greate RD
Gloucester Point
VA
23062
savadmin@vims.edu
USA
804/684-7088
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
1
-77.464109
-75.106412
39.618179
36.886454
None
2016 SAV Aerial multispectral digital imager
Digital images
5/25/2015 - 11/17/2016
24000
2016 SAV Aerial imagery
Airphotographics Inc
2115 Kelly Island Road
Martinsburg
WV
25405
info@airphotographics.com
USA
(800) 624-8993
(304) 267-0918
2016-06-25T00:00:00
2016-11-17T00:00:00
2015 SAV Orthophoto Mosaics Datasets
5/25/2016 - 11/17/2016
24000
2016 SAV Orthophoto Mosaics
2016-05-25T00:00:00
2016-11-17T00:00:00
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
Digital imagery is georectified and orthographically corrected to produce a seamless series of aerial mosaics following the standard operating procedures (SOP). ERDAS IMAGINE Photogrammetry image processing software is used to orthographically correct the individual flight lines using a bundle block solution. Camera lens calibration data is matched to the image location of fiducial points to define the interior camera model. Control points from USGS DOQQ images, National Agriculture Imagery Program (NAIP), Virginia Base Mapping Program (VBMP), MD Six Inch, and ESRI World imagery provide the exterior control, which is enhanced by a large number of image-matching tie points produced automatically by the software when IMU data were not available. The exterior and interior models are combined with a 10-meter resolution digital elevation model (DEM) from the USGS National Elevation Dataset (NED) to produce an orthophoto for each aerial photograph.
The orthophotographs area combined into mosaic datasets for each flightline which are then combined into a single Bay-wide mosaic dataset.
2017-03-27T00:00:00
The SAV beds are interpreted on-screen from the orthophoto mosaics using ESRI ArcGIS software. The identification and delineation of SAV beds by photo interpretation utilizes all available information including: knowledge of aquatic grass signatures on film, distribution of SAV in 2016 from aerial imagery, 2016 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 (Paine, 1981). 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 quadrangle number and year of photography, these letter designations uniquely identify each SAV bed in the database.
2017-08-31T00:00:00
The bay segments were overlayed on the dataset by VIMS staff, dividing any beds that fell into multiple segments.
2017-12-20T00:00:00
The state boundaries were overlayed on the dataset by VIMS staff, dividing any beds that fell into multiple states.
2017-12-20T00:00:00
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. Weather conditions and security restrictions in the DC area, over Patuxent Air Base and associated mid-Bay areas prevented acquisition of useable imagery for a portion of the tidal fresh and mesohaline Potomac River, including Piscataway Creek and St. Marys River. A small portion of this area was covered by NAIP imagery under conditions that were appropriate for mapping SAV. The area that was not fully mapped in 2016 supported 801.75 ha of SAV in 2015 (1981.20 acres, 2% of the 2015 Bay total). Turbid conditions and poor weather conditions in 2016 prevented us from mapping the Delmarva Peninsula Coastal Bays.
EPSG
8.8(9.3.1.2)
MD_SAVHabitat_2016To2020_Final_with_Counties_wm
Feature Class
2715
VIMS
VIMS - SAV Program
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
Shape
Geometry
0
0
0
Feature geometry.
ESRI
Coordinates defining the features.
ST
ST
String
2
0
0
U.S. State which contains the SAV bed
US State Abbreviations
DC
Washington DC
State Abbreviations
DE
Delaware
State Abbreviations
VA
Virginia
State Abbreviations
MD
Maryland
State Abbreviations
SAVHabitat
SAVHabitat
String
255
0
0
YrRange
YrRange
String
255
0
0
COUNTY
COUNTY
String
80
0
0
DISTRICT
DISTRICT
Integer
4
0
0
COUNTY_FIP
COUNTY_FIP
Integer
4
0
0
COUNTYNUM
COUNTYNUM
Integer
4
0
0
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
dataset
2715
Simple
FALSE
2715
TRUE
FALSE
20230817
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKKACiiigAooooAKKKKACo4p4p9/lOG2OUYd1YdjUUt7FHJFGCHaQ8YI6ZAJ/NhXLSLd
yazf6huLQB0itQj+Ws5I27QScHsCcHpx0oA7Kis7SIbyKKZ78k3UjgsQwK4wAAuOg9vXJ71o0AFF
FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVPUZ5I9Pka28tpnUiLeCVZsc
A49auVmXUsYum/embDIr2xUMFOQQ3scc9fwoA57SdACWaX+qMrxFTL5RQhUYndgrjnnP16+lblxa
QCOMapdLnJVPLJjUjOduMn/9VWtTupLKKGZFR8yrH5bHbuLHaMHscn8s1LDGkzR3RjXzNpCtnPB9
D6GgBtgtv9mT7MxaJAUQ7cDGe3A/yKt0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR
QAUUUUAFRRXUM5xFIGIyCB1BBwQfTmnSTRwrulkVB6scVmaHOLg6hIsqSK10WRkOflKrjv7UAa1V
TaQC+E6x4lcfOQSA4HAyO5Ge/wDhT7iR45LcKVw8m1ge42np+IFS4+cnnpgUAYWpz6g8x8hI2s0l
+d2XcV2gHgccgqTnkZIFbkRBhTbuxgY3da4bxTqOo22rSrDBL9hjQoXTIXe685YgjPzjt6V1Oi6m
dS0uOcW7IQ3lFenK8E844zn39qANOiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CkJCgkkADkk0tVdQMiWMrwyCORBuBZSRx2IHOKAOfuLM67dO8auY2lCu27aioMeucvkHkDpjnGM9
SOmM5xWVbSPc6VZyQSPAZFV3wmSCACRz9MYxz2q/GqwLhG3bmLOznk8evrwB9BQBMQDjIBxyKWim
ZfLD5QD908n86AOd8TX9/YTW/wBktBJaOT9pcIG5O0AHPA6jk+3YVvWkEcFuixRJGpG4qoHU+4rN
1WSy0q9t9UnyjM3kErHndux1PbGM++Mela6OskayIwZGAKkdwaAHUUUUAFFFFABRRRQAUUUUAFFF
FABRRRQAUUUUAFFFFABRRRQAUmBknAyeM0tFAGe2oG0uJVvsRQ5/dS7TtI9zk88+3Q1YZIb22AV1
eFgCrIc8g8EH2xUzosiMjqGVhgqwyCKzjavZXtu1tI32eSRlliYs2MgtlfT5v0JoAsSw3bXETJOo
ij5K45k4IwT0AHB6flUs00CAiYgKCoy6nGScDnoefyoikiu13hD+7kIG9cEMCRkZqOe3hvJdlxbb
hEA0cjAcE5B29wR/UUALe2MF/aNbTpujYceqnsQexrA0+B9M1VdGS9Zi0JnTKkhXzgAZJ4wDkZHX
346dQQMHoOAc5JrntY/suw8QaZezxsLudmgDJ0YEbfmHfG4f5xQBux3EMrsiSozqMkKwPtn8wR+F
S1zNlbbPFdw1qbaO1gVImwi7uF+4D17gk9eAO1dNQAVnWk8l5qd0+CsFsfITk/M3BY4/75A/Go9Y
1L7IYYIpQLmZtsUY5LN2GPT1PHFX7SA29skbOZHHLuQAWPc8UATUUUUAFFFFABRRRQAUUUUAFFFF
ABRRRQAUUUUAFFFFABSEK2MgHHIoZgiMzdFGTxmq0QZI4RaPHJbjg5Yk4z2Pt6e1AFqiisXUdTuL
K+QBk8gMGkyVBCcg4yQSfu469W6kCgDQivkk1GaxaN0ljRZASMqyEkA5HTkHg1V1ezeefTrmOJJW
trlSVYZO1jtJH0yD+FN06eO41jUXIHmLsjUnOdgGeMgdycjJweuK1qAOfvH0zw+11f3FxtuLuQhX
UZYdBgDnpgZOPT2rS0ee5udJt57tQs0i7yAQeDyOnfGKzYVj13XXuJAj2unuY4AMEM5A3MeOxxjH
pnuK6CgCIW0AmMwhj80ktv2jOSAM5+gA/CpaKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig
AooooAKoQ6RaW2pNfwqYnZCrIhwhycliPXjrVmVnjKlBuDON2QTgY7Y/z/OsLV7iS+0O4Gw/aYQs
sPlNyzBiAdvPGR0PUHsegB0dV7iJfstyNy/vFOfOJZASMcg9vaksJpZ7KF512zMgZ1K7SM+2Tiqu
vQPdaPcQRsEdgNpZyoPPTgE9ugHNADrMXkF20dwzTxSKDHMCMDHYqAMZz75x26VbupRBaySdwvAy
Bk9gM9ycCsrR7aQtFOglhtQGJt5o2V1kwq8ZH3QAcfWtG+jWdIrd03RySAN8wGAPm79eVAx70ANs
Yo9P0uNW3RJGm5/MYEr3OSOOPbirasGUMpBUjII71i3ss93r8NlbXEIjij3XMLZO9GyCCB0I+Uj6
n8dpVCqFUYAGAKAFooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApiQxxu7qoDOc
sffAH8gKfRQBHFCIyzFi7t1YgAn0HHpRPBHcRNHIqsCMDcoOKkoOccdaAM3TIry2nuLWch7aNU+z
usSooGCCoAJ6YHWtKo4YzGuGkaRjyzMe/sO1PByAcEZ7GgCKO0giuprmOMLNPt8xh/FtGBn8Kmoo
oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig
AooooAKKKKACiiigAooooA//2Q==