Converting Data to MD SPCS

Having the clean raw data in lat/lon format, they now need to be converted to the MD State Plane Coordinates System.

Let’s look first at what the measured data tracks look like for one of the 9-day long data acquisition process (there were a couple of bad weather days in between when data could not be taken).

The data were acquired in 2011 on:

April12lonlat_clean.txt   48220 obs.
April13lonlat_clean.txt   62193 obs.
April16lonlat_clean.txt   106137 obs.
April17lonlat_clean.txt   116308 obs.
April19lonlat_clean.txt   90055 obs.
April20lonlat_clean.txt   97236 obs.
April21lonlat_clean.txt   96843 obs.

For a total of 616,992 observations

The raw data looks typically like:

  Longitude Latitude    Depth
1 -79.26224 39.50228 3.554316
2 -79.26692 39.50674 3.554316
3 -79.31440 39.48826 3.554316
4 -79.31681 39.48983 3.554316
5 -79.32139 39.48421 3.554316
6 -79.25812 39.50504 3.586924

where depth is in feet.

After the conversion to MD SPSC the data looks as follows:

     Depth  Easting Northing
1 3.554316 674017.8 676436.8
2 3.554316 672738.5 678097.1
3 3.554316 659175.5 671702.9
4 3.554316 658508.8 672291.3
5 3.554316 657164.7 670277.7
6 3.586924 675205.7 677415.4

Figure 1 shows all the data taken on April 16.

Converting Data to MD SPCS

Figure 1 - Bathymetry Measured on April 16

![Figure 1. Bathymetry Measured on April 16](./graphs/Bathymetry_April16.png)

Figure 2 shows all the data for the whole lake.

Converting Data to MD SPCS

Figure 2 - All Measurements Made.

Figure 3 shows every 50th point of the data set. As can be seen this should still provide plenty of coverage for an interpolation scheme.

Converting Data to MD SPCS

Figure 3 - All Measurements Made.


PLV
First Published: 01/05/2022