High Marsh in the Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA

Description

This raster GIS dataset contains 5-meter-resolution cells depicting the areas of HIGH marsh. 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).

Resources

Name Format Description Link
57 MaurLow_HM.zip https://gaftp.epa.gov/EPADataCommons/ORD/NCEA/SLAMM_DE2019/MaurLow_HM.zip
57 StJLow_HM.zip https://gaftp.epa.gov/EPADataCommons/ORD/NCEA/SLAMM_DE2019/StJLow_HM.zip
57 Dividing_HM.zip https://gaftp.epa.gov/EPADataCommons/ORD/NCEA/SLAMM_DE2019/Dividing_HM.zip
57 BDK_HM.zip https://gaftp.epa.gov/EPADataCommons/ORD/NCEA/SLAMM_DE2019/BDK_HM.zip
57 Dennis_HM.zip https://gaftp.epa.gov/EPADataCommons/ORD/NCEA/SLAMM_DE2019/Dennis_HM.zip
57 Misp_HM.zip https://gaftp.epa.gov/EPADataCommons/ORD/NCEA/SLAMM_DE2019/Misp_HM.zip
57 Reeds_HM.zip https://gaftp.epa.gov/EPADataCommons/ORD/NCEA/SLAMM_DE2019/Reeds_HM.zip

Tags

  • environment
  • 020:094
  • downloadable data
  • sea level rise
  • delaware
  • natural resources
  • coastal wetland
  • modeling
  • relative vulnerability
  • united states
  • ecosystem
  • exposure
  • estuary
  • new jersey

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