38A1DD9E-C29A-4FA2-BA7C-70DADF4F0989 eng utf8 dataset Jordan West U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment principalInvestigator 2025-01-13 NAP - Metadata 1.2 2 column 2655 5.000000 row 3484 5.000000 area true false 507653.000000 4325829.000000 507653.000000 4343249.000000 520928.000000 4343249.000000 520928.000000 4325829.000000 514290.500000 4334539.000000 center 4269 EPSG 6.13(3.0.1) High Marsh at Dennis, NJ, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA 2017-09-15 creation 2019-02-01 publication 2018-02-28 revision Jordan West U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment principalInvestigator mapDigital This raster GIS dataset contains 5-meter-resolution cells depicting the areas of HIGH marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). High marsh (HM) was defined as the aggregation of irregularly-flooded marsh [SLAMM category 7] and transitional salt marsh [SLAMM category 20]. HM is covered by water only sporadically (once per day or less). Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. 1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years. 2) In Raster Calculator, set the SLAMM code equal to 8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. 3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). Prior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. Note: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov). Salt marshes in the Delaware Estuary are considered to be highly vulnerable to sea level rise (SLR). To characterize relative vulnerabilities of different types of salt marshes in the Lower Delaware Bay, Sea Level Affecting Marsh Model (SLAMM) was applied to project changes in acreage and spatial distribution of high, low, and total salt marsh habitats at seven sites in future years (i.e. 2025, 2050, 2075, and 2100) under the intermediate SLR scenario from Sweet et al. 2017 (1.0 m global mean seal level rise by 2100, with a base year of 2000) and the SLAMM “Protect Developed Dry Land” model protection scenario (under which cells designated as developed dry land are protected from inundation and cannot be converted to other habitat types in the simulation). The three types of salt marshes were highlighted due to their importance in providing ecosystem services like flood protection and wildlife habitat. Jordan West U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment Geospatial Data Steward (202)564-1555 1200 Penn Ave, NW Washington DC 20460 US west.jordan@epa.gov publisher New Jersey United States Delaware place EPA Place Names 2015-01-31 publication 020:094 theme Federal Program Inventory 2013-09-16 publication Ecosystem Modeling Exposure Natural Resources Environment Coastal Wetland Relative Vulnerability Sea Level Rise Estuary theme EPA GIS Keyword Thesaurus 2007-11-02 publication Downloadable Data None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated. grid eng utf8 Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321 true -75.387382 -75.12876 38.728269 38.867302 2001-01-01T00:00:00 2100-12-31T00:00:00 true -74.911518 -74.757499 39.081323 39.238514 image Band_1 1 -1 Unified Code of Units of Measure 32 Raster Dataset https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/Dennis_HM.zip WWW:LINK download