The first portion of the Money Island sediment analysis consisted of shoreline change maps to display where the "0" foot elevation had begun. Three separate shoreline change maps were produced to show the gradual change since  2007.  These maps depict what the shoreline looked like when occupied by residential plots, after NJDEP's removal of anthropogenic construction and debris, and after implementing the detached breakwaters and beach nourishment project. 

1.  Shoreline Change since 2007:

   1. Data was derived from NJGIN (Coastline (2007) of New Jersey & Coastline (2012) of New Jersey) and from Dr. Shah Alam Khan: Assistant Professor of Coastal Zone Management, Stockton University (Shoreline 2022).

   2. Downloaded all the shapefiles and imported them into an ArcGIS Pro project

   3. Change the symbology to represent a gradient color scheme (blue) that shows the changes over time. Each line was given its own shade of blue (lighter colors represent the youngest coastline)

   4. Added a Definition Query to the Coastline (2007) of New Jersey and the Coastline (2012) of New Jersey files to display only the coastline along Money Island based on the FID of each line.

2. Shoreline Change since 2017:

   1. Data derived from Dr. Shah Alam Khan: Assistant Professor of Coastal Zone Management, Stockton University (Shoreline 2017, Shoreline 2019, & Shoreline 2022)

   2. Downloaded all the shapefiles from a shared Google Drive and imported them into an ArcGIS Pro project.

   3. Adjusted the symbology of the three shapefiles to match the symbology utilized in the Shoreline Change since 2007 project. A gradient blue color scheme was chosen where all lines were given a different shade of blue (lighter lines represent younger shorelines).

3. Shoreline Change (Sept. 2022- March 2023):

   1. Data derived from the Stockton University Coastal Research Center Digital Elevation Maps

   2. Imported Digitial Elevation Maps (Raster dataset) from September 2022 and March 2023 into an ArcGIS Pro project.

   3. Utilized the Contour (3D Analyst Tool) in the geoprocessing toolbox to create a feature class of contours from the raster surfaces provided by the D.E.Ms.

   4. Once contour feature classes were generated (Contours_Sept2022 & Contours_March2023), a definition query was created for each feature class to which contour equals "0".

      1. "0" indicates 0-foot elevation or the shoreline during data acquisition via triangulation with a Total-Station tripod and Global Position Systems (GPS) collection with an RTK GPS unit.

   5. Changed the symbology of both feature classes to display thicker lines with colors that vary from each other (Teal and Gold). Teal is March 2023, while Gold is September 2022.

   6. Then, I re-added the two generated contour feature classes into the same ArcGIS Pro project (four total contour files in one project).

   7. Added a definition query to the two newly imported contour feature classes where contour equals 1 or -1.

   8. Adjusted the symbology of each contour feature class to match the symbology of the "0-ft"  file mentioned.

      1. The "1" and "-1" contours were adjusted to a dashed line of smaller thickness.

      2. "1" and "-1" were added to display a 1-foot overlap in elevation for the Money Island coastline.

   9. A Money Island breakwater shapefile was also added (provided by Dr. Shah Alam Khan) to show the project area. 

Digital elevation models (D.E.Ms) were generated for the Money Island project to display changes in elevation from September 2022 through March 2023. D.E.Ms are a way to represent the earth's bare ground (elevation) in a 2-D format without the interference of natural features such as vegetation, structures, etc. For Money Island in particular, the D.E.Ms utilized for the sediment analysis consisted of a series of points collected by the Stockton University Coastal Research Center via triangulation from a Total-Station tripod and RTK GPS point collection from professional swimmers. All points collected were either along the beachfront or seaward of the beachfront. 

1. ArcGIS Pro project details:

   1. Created a new ArcGIS Pro project, separated from the shoreline change and contour work titled "MI_Elevation_Change."

   2. Imported the two D.E.M. models created by the Stockton University Coastal Research Center.

   3. Adjusted the symbology of both raster datasets to show a "stretch" color ramp pattern from blue to red.

      1. Blue displays lower elevations, while red is higher elevations.

   4. Once the symbology was altered for each raster dataset, the stretch color ramp "advanced labeling" was adjusted to match each other. Eleven "intervals" were chosen between -17.95 foot NAVD88 and 8.18 foot NAVD88.

   5. Each D.E.M was created into its own ArcGIS Pro Layout, adding the shorelines generated from the shoreline change project ("0-ft" elevation lines). 

      1. To display where the shoreline is in reference to the D.E.M products.

• Sediment Volume Change maps were derived from the two D.E.Ms the Stockton University Coastal Research Center provided.

• The goal was to show the changes in elevations throughout project delineation in one map without viewing two separate D.E.M models.

• Two sediment volume change maps were created to show areas of net sediment accumulation and net sediment erosion between September 2022 and March 2023 and the amount of sediment gained or lost in cubic feet throughout the Money Island Project area.

  1. Net Gain/Net Loss Analysis:

     1. Utilizing the two D.E.Ms already created from projects mentioned above, the Cut Fill (3D Analyst Tool) geoprocessing tool was used to create a new raster dataset that will display changes in value between inputted feature classes.

        1. September's D.E.M was selected as the "Input before raster surface," while March's D.E.M was selected as the "Input after raster surface."

     2. Once the new feature class was created (CutFill_Test),  a field was added to the attribute table called "Volume_Inverse"

        1. The field was then calculated so that the Volume_Inverse field would equal "Volume * -1" to get the inverse of the Cut_Fill Volume.

           1. This is because the Cut Fill tool has an opposite reaction, were positive volumes are net losses, while negative volumes are net gains in sediment.

     3. A second field was then added to the attribute table titled "Changed"

        1. This field was then calculated so that all positive "Volume_Inverse" integers would be classified as "Gain" while the negative "Volume_Inverse" integers would be "Loss"

     4. Once the new raster dataset was generated, the symbology was adjusted to be a "unique values" color scheme with two "values" based on the newly created "Change" filed attribute

        1. A Green and Red color scheme was also added for the map to highlight areas of Net Gain in green and Net Loss in red.

  2. Cubic Feet Changes:

     1.  In the same ArcGIS Pro project,  a new raster dataset was generated utilizing the Minus (3D Analyst Tool) geoprocessing tool, which subtracts the value of a second input raster from the value of an original input raster

        1. For the Money Island D.E.Ms, the "input raster or constant value 1" was selected as the D.E.M from March 2023, while the "input raster or constant value 2" was selected as the D.E.M from September 2022.

           1. As in, the Minus Tool is subtracting the following equation: Volume_March2023 - Volume_September2022= Change in Volume.

     2. With the new D.E.M created from the Minus Geoprocessing Tool,  the symbology was changed to a "Classify" color ramp (Red to Green) based on 10 "classes" in cubic feet. 

        1. Red indicates loss volumes in cubic feet, while green indicates gained volumes in cubic feet.

        2. The classes identified between 0.2 and -0.2 represent No Change in volume (No Loss or Gain).

     3. This map now shows individual volume changes rather than losses and gains.

     4. The Money Island breakwaters shapefile & shoreline of 2023 were also added.

The following digital elevation maps were completed using a combination of data provided by the Stockton University Coastal Research Center and the Stockton University Marine Field Station. Methods for data collection included RTK GPS rover, Total-Station triangulation with prisms, Mulitbeam sonar scanning with a R2 Sonic Echosounder, and lidar scanning with a Dynascan 250 MDL. The collected data was then processed utilizing a series of applications including: Leica Geoffice, Leica Infinity, Qinsy, Qimera, and ArcGIS Pro. The data for September's D.E.M was collected in November 2022, while the D.E.M for June 2023 was generated using data collected in March and June 2023.

1. Processing the Lidar and Mulitbeam data

   1.  A patch test was run to calibrate the results of the lidar and Multibeam data for corrections in pitch, roll, and heading (yaw) to gather exact positioning.

      1. These mobile scanning techniques come equipped with an Inertial Measurement Unit (IMU), which can account for the movement of the vessel/vehicle during data collection to determine exact locations of the returned "pings" or soundings.

   2. For the Patch Test, a total of 8 lines were run in a parking lot (Dynascan 250 was mounted to a vessel on a trailer prior to deployment in the Delaware Bay).

   3. Once the data was collected and calibration were accounted for utilizing the Patch Tests, the data was then cleaned to remove any unwanted "pings" or points collected.

      1. Specifically, a blanking filter was used to remove points collected for the boat gunnel and any sunspots/height identifiable noise.

      2. The "slice editor" tool in Qimera was primarily utilized to remove unwanted point collected from the lidar and Multibeam data.

      3. Prior to formulating a map in ArcGIS Pro, both the mulitbeam and lidar points were exported as XYZ text files.

2. ArcGIS Pro Map Making

   1. Once rhe XYZ text files were imported into an ArcGIS Pro project, any gaps within the files were filled in using RTK GPS points collected via handheld rovers collected by the Stockton University Coastal Research Center.

   2.  The "Create TIN" geoprocessing tool as then utilized to create an editable TIN surface from the XYZ and RTK GPS files.

      1. Once the TIN was created, minor cleaning was completed using the "edit TIN" features

   3. A Blue-Red stretch symobology was then added to the created TIN to display lower elevations in blue and higher elevations in red (reference to NAVD88).