Collaborative Survey of Carolina Bay Landforms
A detailed survey of all Carolina bays is underway here. The USGS “100K Quadrants”, which are 1º of Longitude wide and 1/2º of Latitude high, are our top-most griding element.
The Map show below is interactively driven by a Google Fusion table. The purple rectangles identify octants to be surveyed, and link to 1/3 arc-second DEM imagery available at the 100K Quad level. Clicking on one of these placemarks will bring up a bubble with links to return the KML metadata file to your computer for viewing in Google Earth. Those quadrant KML files include USGS 1/3 arc second DEM hsv-shaded maps. In addition, the html-based Google Earth Plug-in LiDAR Browser offers easy access to the 100K Quad DEM imagery.
In order to provide reasonable sized elements for 1/9 arc second LiDAR-quality maps, we have subdivided each quadrant into eight “Octants” (our term). The live Google Fusion map below identifies these 1/4 degree “octants” (yellow placemarks) and those currently populated by LiDAR-quality imagery (green placemarks). These efforts are being undertaken to expand on the LiDAR imagery available in the predecessor “Fields” project. Due to the numerical count of these landforms, we are looking for collaborators who would be kind enough to annotate our Google Earth Octant meta data structures with their observation of bay locations. Clicking on one for any of these placemarks will supply the user with a starter KML file to work with for that 0.25º x 0.25º octant..
Our goal is to gain a better understanding of these enigmatic landforms by collecting numerous statistics about their location and shape, and by correlating that data to see if any clues as to their nature can be gleaned from those analysis. For example, by capturing the major and minor axis lengths of the oval bays, we can see how their ratio varies with overall size, and how it varies by latitude and longitude. The following graph shows such a plot for bays in the North Carolina area.
By sampling the bay area sizes and plotting the numerical count as a histogram, we can understand the distribution of bays by sizes. The following graph summarizes about 4,000 bays.
Histogram of the distribution of bays by area size
Structure of the KML File
Each 100K Quadrant is described in a kml file named with the standardized USGS 100K Quadrant name. The following graphic show the DOM of Google Earth Elements in a given survey 100K Quadrant ( Camden ), including the eight Octants and contents thereof. The Octant naming system is generated using the bay’s latitude & longitude, on a 0.25 degree grid. LiDAR is available as either “full”, or “part”, in which the overlay drops out when below ~3KM eye altitude. This makes comparing bay planforms in the LiDAR with its visual presence in Google Earth’s satellite imagery easier. The 4-digit “bay” number (vvhh) is similarly derived from the latitude and longitude, this time referencing 100 vertical grids and 100 horizontal grids (10,000 possible locations within each octant) in which the bay’s central point lies. Bay planform overlays are sourced using the Google Fusion Tables facility, by way of a query of a cloud-based data structure.
Google Earth DOM
The bay meta structure is created as output from a custom coded java program. The input to this program is simply a folder of our bay planform overlays, oriented and sized to represent the actual bay, as the user interprets it. Should you be interested in participating, please access THIS page, which discusses the programs.
Our earlier survey of Carolina bay landforms was carried out using a "field-based" approach, with the count of fields approaching 250. These can be viewed using the Distal_Ejecta_Fields.kml file. These fields are randomly sized, done in an attempt to keep their sizes down to the absolute minimum, especially when the 1-9 arc-second data is used. But the random sizes are presenting challenges as we attempt to count all the bays...
Most of the larger field DEM files have been recently further reduced by removing the tiles for the highest resolution. It also allows for the user experience of toggling the DEM image off when zooming in very close to the earth - which then allows for viewing of the Google Earth imagery for comparison purposes.
Survey Overlays by Region
Our survey of bays utilizes a stylized overlay shape to capture bay orientation and size metrics. The shapes are seen as changing in a systematic way as the ejecta annulus is traversed clockwise from New Jersey. The following graphic displays the overlays in the following order: NJ/MD, VA Eastern shore Oval (not shown), Central Carolinas, southern Carolinas, southern Oval (not shown), Georgia, Nebraska.
Here is a Fusion Table Visualization that displays the quantity of each of these Archetypes.
Next are scatterplots of bearings vs. latitude and bearings vs. longitude (which also includes the Nebraska structures) across the data set. These are live Fusion table visualization.
Finally, here is a sample of the visualization of results on the Google Earth Virtual Globe, using their plug-in technology.
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