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SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Cedar Island, VA, 2010–2011

Dates

Publication Date
Start Date
2011-05-30
End Date
2011-05-30

Citation

Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics–Four sites in New York, New Jersey, and Virginia, 2010–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P944FPA4.

Summary

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

CeI11_GeoSet.tif 2.5 MB
CeI11_GeoSet.tif.vat.dbf 556 Bytes
CeI11_SubType.tif 5 MB
CeI11_SubType.tif.vat.dbf 485 Bytes
CeI_SupClas_GeoSet_SubType_VegType_VegDen_browse.png
“Landcover classification, geomorphic setting, substrate type, vegetation dens...”
thumbnail 396 KB
Extension: CeI11_SupClas.zip
CeI11_SupClas.tif 2.5 MB
CeI11_SupClas.tif.vat.dbf 977 Bytes
CeI11_SupClas.tif-ColorRamp.SLD 2.07 KB
Extension: CeI11_VegDen.zip
CeI11_VegDen.tif 5 MB
CeI11_VegDen.tif.vat.dbf 485 Bytes
CeI11_VegDen.tif-ColorRamp.SLD 2.07 KB
Extension: CeI11_VegType.zip
CeI11_VegType.tif 5 MB
CeI11_VegType.tif.vat.dbf 485 Bytes
CeI11_VegType.tif-ColorRamp.SLD 2.07 KB

Purpose

These categorical raster files map 2011 substrate and vegetation characteristics in 5-m cells. The supervised classification raster (CeI11_SupClas.tif) depicts landcover attributes (for example, marsh, sand, water, herbaceous vegetation). It was created with a supervised classification of 2011 aerial imagery. Raster files CeI11_SubType.tif, CeI11_VegDen.tif, CeI11_VegType.tif were reclassified from the supervised classification raster with some manual modifications. CeI11_SubType.tif maps discrete substrate types; CeI11_VegDen.tif maps discrete categories of vegetation density; CeI11_VegType.tif maps discrete vegetation types. Raster file CeI11_GeoSet.tif maps discrete geomorphic settings (e.g. beach, dunes, washovers) and was digitized manually with reference to source datasets. Information contained in these spatial datasets was used within a Bayesian network to model the probability that a specific set of landscape characteristics would be associated with piping plover habitat (Zeigler and others 2019).

Additional Information

Raster Extension

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files
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contentTypeimage/geotiff
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nameCeI11_SupClas.tif.vat.dbf
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dateUploadedThu Jun 20 12:00:42 MDT 2019
nameCeI11_SupClas
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rasterTypeGeoTIFF

Raster Extension

boundingBox
minY37.57972681896249
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maxX-75.58500313102078
files
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contentTypeimage/geotiff
pathOnDisk__disk__53/2e/5e/532e5eed8471dc76b8f4074307497677b15469c2
size5246806
dateUploadedThu Jun 20 12:00:42 MDT 2019
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dateUploadedThu Jun 20 12:00:42 MDT 2019
nameCeI11_VegDen.tif-ColorRamp.SLD
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dateUploadedThu Jun 20 12:00:42 MDT 2019
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Raster Extension

boundingBox
minY37.57972681896249
minX-75.64117637259038
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files
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contentTypeimage/geotiff
pathOnDisk__disk__09/45/54/094554f3efc3613ef949b749e6c513afc4e074a1
size5246806
dateUploadedThu Jun 20 12:00:42 MDT 2019
nameCeI11_VegType.tif.vat.dbf
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dateUploadedThu Jun 20 12:00:42 MDT 2019
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contentTypeapplication/sld+xml
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size2122
dateUploadedThu Jun 20 12:00:42 MDT 2019
nameCeI11_VegType
nativeCrsEPSG:26918
rasterTypeGeoTIFF

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