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Wetlands_2018_VirginiaBeach_VA.tif
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GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
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FGDC
Paige Brochu
University of Vermont Spatial Analysis Laboratory
Director
802-656-3324
802-656-8683
Aiken Room 205
81 Carrigan Drive
Burlington
VT
05405
US
Paige.Brochu@uvm.edu
20260630
ArcGIS Metadata
1.0
Wetlands_2018
2026-06-30
University of Vermont Spatial Analysis Laboratory
remote-sensing image
<div style='text-align:Left;'><div><p><span>This layer is a high-resolution wetlands layer for Virginia Beach, Virginia. Three wetlands classes were mapped: (1) emergent wetlands, (2) , forest wetlands and (3) shrub/scrub wetlands at 3 Foot resolution. The primary sources used to derive this wetlands layer were 2018 LiDAR data and 2018 NAIP imagery. Wetlands were classed based on the average height of vegetation in the 2018 LiDAR. The emergent class represents wetlands where the average vegetation height ranged from 0-6ft. The shrub/scrub class represents wetlands where the average vegetation height ranged from 6ft - 20ft. The forest class represents wetlands where the average vegetation height is above 20ft. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. The dataset was created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.</span></p></div></div>
This dataset was developed as part of an Urban Tree Canopy (UTC) assessment for Virginia Beach, Virginia.
University of Vermont Spatial Analysis Laboratory in collaboration with Virginia Beach.
imageryBaseMapsEarthCover
wetlands
urban
imageryBaseMapsEarthCover
wetlands
urban
Dataset represents wetlands within the boundary of Virginia Beach, Virginia for 2018.
1009
2018-10-09
This assessment was completed by the University of Vermont's Spatial Analysis Laboratory with funding from the Virginia Beach. The methods used were developed by the University of Vermont Spatial Analysis Laboratory in partnership with the USDA Forest Service. Tree canopy assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establishing tree canopy goals.
Esri ArcGIS 13.5.2.57366
1
-76.235123
-75.855878
36.934169
36.545347
No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control (QC). Accuracy assessments from previous UTC land cover datasets indicate that the use OBIA techniques in combination with a detailed QC yield an overall accuracy of 95% or better.
Valid raster dataset.
Complete coverage for the study area using the most recent boundary data.
2018 Land Cover raster developed as part of the same project for which the current Wetlands dataset was created.
2018 Wetlands for Virginia Beach, Virginia
Wetlands_2018_VirginiaBeach_VA.tif
Automated feature extraction using eCognition.
2026-05-27
Manual corrections made using photo interpretation between imagery and lidar data to classify wetlands
2026-06-24
Wetlands_2018_VirginiaBeach_VA.tif
Table
3
OID
OID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Value
Tree-canopy change classes
University of Vermont Spatial Analysis Laboratory
1
Emergent Wetlands
University of Vermont Spatial Analysis Laboratory
2
Forest Wetlands
University of Vermont Spatial Analysis Laboratory
3
Shrub/Scrub Wetlands
University of Vermont Spatial Analysis Laboratory
Value
Integer
10
10
0
Count
# pixels per tree canopy change class
Internal
Number of pixels per wetlands class
Count
Double
19
0
0
Class
Class
String
254
0
0
Raster Dataset
dataset
EPSG
8.2.10(10.3.1)
2
1
0
12148152.440047 3368795.040022
12148152.440047 3507611.040022
12255708.440047 3507611.040022
12255708.440047 3368795.040022
12201930.440047 3438203.040022
35852
3.000000
46272
3.000000
Band_1
3.000000
1.000000
4