20220623
19465300
1.0
FALSE
Va_SAVHabitat_5yrs_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
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20230908
13544400
20230908
13544400
ISO19115_3
150000000
5000
dataset
Virginia Institute of Marine Science
SAV Data Administrator
Rt. 1208 Greate Rd.
Gloucester Point
VA
32061
savadmin@vims.edu
USA
804/684-7088
20230908
ArcGIS Metadata
1.0
http://www.vims.edu/bio/sav
24.848
ESRI 10.1
File Geodatabase Feature Class
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The 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 imagery and classified into one of four density classes by the percentage of cover. Some small beds, particularly along narrow tributaries may not have been distinguishable on the aerial photography. Five years of SAV data where SAV density was greater than 0 were combined and then dissolved to form SAV Habitat polygons. These polygons represent where SAV was located at least once during a five year period from 2017 to 2021. </SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
SAV Habitat represents the area where Submerged Aquatic Vegetation (SAV) presence was surveyed at least once during a five year period from 2017 to 2021.
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. Postal State Abbreviations
DE
MD
VA
Chesapeake Bay
Chincoteague Bay
SAV
vegetative surface cover
submerged aquatic vegetation
SAV habitat
Chesapeake Bay
DE
MD
SAV
vegetative surface cover
Chincoteague Bay
VA
submerged aquatic vegetation
US
SAV Habitat
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
2017-05-17T00:00:00
2017-11-27T00:00:00
2017 to 2021 Chesapeake Bay SAV Habitat
2018-06-12T00:00:00
2018-12-20T00:00:00
2023-08-15T00:00:00
Virginia Institute of Marine Science
Rt. 1208 Greate RD
Gloucester Point
VA
23062
savadmin@vims.edu
USA
804/684-7088
Information about SAV in the Chesapeake Bay can be found on the VIMS 'https://www.vims.edu/research/units/programs/sav/' SAV Program web site.
Esri ArcGIS 13.1.3.41833
1
-77.464109
-75.106412
39.618179
36.886454
None
The 2018 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 imagery and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS feature 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.
24000
2018 Chesapeake Bay SAV Coverage
2019-10-17T00:00:00
2019-12-20T00:00:00
https://www.vims.edu/research/units/programs/sav/reports/index.php
Virginia Institute of Marine Science
SAV Data Administrator
Rt. 1208 Greate Rd.
Gloucester Point
VA
32061
savadmin@vims.edu
USA
804/684-7088
Virginia Institute of Marine Science
The 2017 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 imagery and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS feature 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.
24000
2017 Chesapeake Bay SAV Coverage
2018-06-12T00:00:00
2018-12-20T00:00:00
Virginia Institute of Marine Science
https://www.vims.edu/research/units/programs/sav/reports/index.php
The 2019 Chesapeake Bay SAV Coverage was mapped from digital multispectral imagery with a 25cm GSD to assess water quality in the Bay. WorldView 2 satellite imagery acquired from Digital Globe through the NGA NextView program was used to augment the aerial imagery for the Belmont Bay portion of the Potomac River. Each area of SAV was interpreted from the rectified imagery and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS feature 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.
2019 Chesapeake Bay SAV Coverage
2020-12-02T00:00:00
Virginia Instute of Marine Science
https://www.vims.edu/research/units/programs/sav/reports/index.php
The 2020 Chesapeake Bay SAV Coverage was mapped from digital multispectral imagery with a 25cm GSD to assess water quality in the Bay. WorldView 2 satellite imagery acquired from Digital Globe through the NGA NextView program was used to augment the aerial imagery for the Susquehanna Flats; the Gunpowder River; the Eastern Neck area of the Chester River; Aquia Creek and a middle section of the Potomac River; Anacostia River and northernmost area of the Potomac River; the New Point Comfort area of Mobjack Bay; and Nassawadox Creek, Hungars Creek, and Mattawoman Creek. Each area of SAV was interpreted from the rectified imagery and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS feature 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.
2020 Chesapeake Bay SAV Coverage
2021-12-16T00:00:00
Virginia Institute of Marine Science
https://www.vims.edu/research/units/programs/sav/reports/index.php
The 2021 Chesapeake Bay SAV Coverage was mapped from digital multispectral imagery with a 25cm GSD to assess water quality in the Bay. WorldView 2 from Maxar and PlanetScope satellite imagery from Planet Labs were used to augment the aerial imagery for the Anacostia River and the upper Potomac River, and middle Rappahannock River, including Menokin Bay and Cat Point Creek, the Mattaponi, Pamunkey, and the majority of the Chickahominy and James rivers, and Mobjack Bay. NAIP aerial imagery was used to augment the aerial imagery for the Chester, Choptank, Little Choptank, Magothy, and Miles rivers, Harris Creek, Eastern Bay, the western shore of Chesapeake Bay along the Calvert Cliffs, the Great Wicomico River and western shore of Chesapeake Bay from the mouth of the Rappahannock River up to Ingram Bay.. Each area of SAV was interpreted from the rectified imagery and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS feature 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.
Chesapeake SAV Beds 2021
2022-12-14T00:00:00
https://www.vims.edu/research/units/programs/sav/reports/index.php
Virginia Institute of Marine Science
SAV Data Administrator
Rt. 1208 Greate Rd.
Gloucester Point
VA
32061
savadmin@vims.edu
USA
804/684-7088
Virginia Institute of Marine Science
The most recent 5 years of SAV data were downloaded from VIMS SAV Monitoring and Restoration web page (https://www.vims.edu/research/units/programs/sav/reports/index.php). A new field "SAVHabitat" was added to each dataset. All polygons with sav density greater than 0 were coded SAVHabitat = 'SAV Habitat". The five datasets where combined and polygons with density = 0 were deleted. The remaining polygons were dissolved on the SAVHabitat field. A new field indicating the year range was add to the final layer and calculated with the year range of the SAV data used.
2023-08-17T00:00:00
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.
0
EPSG
6.18.3(9.3.1.2)
Va_SAVHabitat_5yrs_wm
Feature Class
0
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
The area where Submerged Aquatic Vegetation (SAV) presence (density value 1 - 4) was surveyed at least once during a five year period.
processor
SAV Habitat
SAV presence was noted at least once during the five year period.
processor
YearRange
YearRange
String
255
0
0
The range of years representing the SAV data used. This is a five year range (ex 2017-2021)
processor
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Simple
FALSE
0
TRUE
FALSE