Steven H. Douglas
Julie C. Bernier
Kathryn E.L. Smith
20170828
Wetland-Change Data Derived from Landsat Imagery, Assateague Island to Metompkin Island, Maryland and Virginia, 1984 to 2015: Wetland Persistence Analysis
raster digital data
U.S. Geological Survey Data Release
doi:10.5066/F76T0KHH
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.5066/F76T0KHH
This U.S. Geological Survey (USGS) data release includes geospatial datasets that were created for the analysis of Virginia and Maryland Atlantic coastal wetland changes over time. Wetland change was determined by assessing two metrics: wetland persistence and land-cover switching. Because seasonal water levels, beach width, and vegetation differences can affect change analyses, only images acquired during the spring (March, April, and May) were included in the wetland-change metrics (N=10). To assess wetland-area trends, including wetland persistence, the total marsh and mixed vegetation classes land-cover types defined by Bernier and others (2015) were reclassified as 1 (wetland presence) and all other classes were reclassified as 0 (wetland absence). When the baseline data (1985) is subtracted from a later dataset, the outcome results in cells with three possible values: 0, 1, or -1, where -1 is wetland loss, 0 is no change (persistence), and 1 is wetland gain.
The purpose of this research was to evaluate the effect of coastal hazards, such as Hurricane Sandy, on the extent of coastal marshes.
The classification methodology and land-cover class definitions are described in Bernier and others (2015). Classified images for 1985-2014 are available in Bernier and other (2015) and classified images for 1984 and 2015 are available in this data release. Downloadable versions of the final data are provided in GeoTIFF file format with 30-meter (m) resolution.
19850417
19890428
19940426
19990510
20040405
20090318
20110425
20130414
20140401
20150522
ground condition
None planned
-75.589992
-74.993823
38.327077
37.739698
USGS Metadata Identifier
USGS:53fa2e8c-59a4-4f77-af60-aebb56991ef2
None
U.S. Geological Survey
USGS
Landsat Thematic Mapper
Landsat Operational Land Imager
Hurricane Sandy
Remotely Sensed Imagery
Land Cover Analysis
Barrier Island
ISO 19115 Topic Category
geoscientificInformation
environment
USGS Thesaurus
geology
multispectral imaging
wetland ecosystems
land use and land cover
coastal hazards
time series analysis
remote sensing
Common geographic areas
United States
Virginia
Maryland
Geographic Names Information Systems (GNIS)
Assateague Island
Chincoteague Bay
None
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset.
Cherokee Nation Technologies contracted to the U.S. Geological Survey
Steven H. Douglas
physical and mailing address
600 4th St S
St. Petersburg
FL
33701
727-502-8000
sdouglas@usgs.gov
U.S. Geological Survey
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959
Bernier, J.C.
Douglas, S.H.
Terrano, J.F.
Barras, J.A.
Plant, N.G.
Smith, C.G.
2015
Land-cover types, shoreline positions, and sand extents derived from Landsat satellite imagery, Assateague Island to Metompkin Island, Maryland and Virginia, 1984 to 2014
U.S. Geological Survey Data Series
968
https://doi.org/10.3133/ds968
Accuracy assessments were performed on six of the land-cover datasets for which reference aerial photography datasets from the same year were available to determine how well the classification process represents the land cover at the time of image acquisition. Using high-resolution aerial photographs from 1989, 2005, 2009, 2011, 2013, and 2015 as ancillary data, the land-cover class at each point was visually compared to assess if the pixel was classified correctly. The overall accuracy ranged from 86.6% (April 1989) to 92% (April 2011). Most errors of commission occurred when small tidal creeks that cannot be resolved using 30-m resolution Landsat imagery were misclassified with the surrounding wetlands. Water-level differences between Landsat image acquisition and aerial photography acquisition may also contribute to some errors of commission. The National Agriculture Imagery Program (NAIP) aerial photographs used to ground truth the land-cover classification were generally acquired during the summer months, rather than spring or fall, over periods ranging from days to months.
Raster values were checked for consistency with expected values.
Of the images acquired from USGS Data Series 968, 10 spring images were selected for analysis.
Geodetic accuracy of the Standard Terrain Correction (Level 1T) source data product used to define the land-cover classes depends on the accuracy of the ground control points and the resolution of the Digital Elevation Model (DEM) used.
A formal accuracy assessment of the vertical positional information in the data set has either not been conducted or is not applicable.
National Oceanographic and Atmospheric Administration
2016
Observed Water Levels
tabular
Silver Springs, MD
NOAA
https://tidesandcurrents.noaa.gov/stations.html?type=Water+Levels
digital
1980
2016
ground condition
NOAA MHW
Source information used in analysis of water level contribution to land cover change.
Land cover types were reclassified into two classes 1 (not-wetland), 2 (wetland) using the reclassify tool in ArcGIS. Water, forested, vegetated bare earth, and bare earth classes from Bernier and others (2015) and this data release were reclassified as not-wetland. Wet marsh, marsh, and mixed vegetation were reclassified as wetland. Reclassified rasters were subtracted from the baseline date (1985), using the raster calculator tool.
2016
Steven H. Douglas
Cherokee Nation Technologies contracted to the U.S. Geological Survey
Physical and mailing
600 4th St S
St Petersburg
FL
33701
USA
727-502-8000
sdouglas@usgs.gov
Daily Mean High Water (MHW) data (in meters) were exported from the NOAA tides and currents website as .csv files.
2016
Added keywords section with USGS persistent identifier as theme keyword.
20201013
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Raster
Grid Cell
2167
1737
Universal Transverse Mercator
18
0.9996
-75.0
0
500000.0
0.0
row and column
30.0
30.0
Meters
D WGS 1984
WGS 1984
6378137.0
298.257223563
85_04_wetlands.tif, 85_09_wetlands.tif, 85_11_wetlands.tif, 85_13_wetlands.tif, 85_14_wetlands.tif, 85_15_wetlands.tif, 85_89_wetlands.tif, 85_94_wetlands.tif, 85_99_wetlands.tif
GeoTIFF files containing the results of land-cover change persistence analyses
USGS
OID
Internal feature number. Sequential, unique whole numbers that are automatically generated.
Esri
0
2
Value
Wetland loss or gain compared to baseline (1985).
USGS
-1
Wetland Loss
USGS
0
No-change
USGS
1
Wetland Gain
USGS
Count
The number of cells per value class.
USGS
14880
3731513
Dimensionless
Cherokee Nation Technologies contracted to the U.S. Geological Survey
Steven Douglas
physical and mailing
600 4th St S
St Petersburg
FL
33701
727-502-8134
sdouglas@usgs.gov
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.
GeoTIFF
2017
https://coastal.er.usgs.gov/data-release/doi-F76T0KHH/data/wetland_persistence_dataset.zip
None.
20201013
Cherokee Nation Technologies contracted to the U.S. Geological Survey
Steven H. Douglas
physical and mailing
600 4th St S
St. Petersburg
FL
33701
727-502-8000
sdouglas@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
None
The U.S. Geological Survey requests that it be acknowledged as the originator of this dataset in any future products or research derived from these data.
None
Unclassified
None