Oceanic Measurement & Environmental Geospatial Array

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v0.1.1-alpha — Initial Pre-Release

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Oceanic Measurement & Environmental Geospatial Array (OMEGA)

A portable system that records underwater depth and position and reconstructs that data into bathymetric maps and geospatial overlays.

This release establishes the full working pipeline:

capture → filter → reconstruct → visualize

⚠️ Alpha release — intended for testing and development. Expect changes.

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Demo Output

Bathymetric Depth Map

Bathymetric Contour Map

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What’s Included

Embedded Logger (Arduino)

• GPS position + UTC time logging
• Ultrasonic depth sensing with smoothing
• Temperature-based sound speed correction
• IMU orientation tracking (pitch/roll)
• SD logging with automatic file naming

Outputs:

• dataXX.csv — full system log
• mapXX.csv — filtered survey data

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Mapping Pipeline (Python)

• Flexible CSV parsing
• Scatter visualization
• Interpolated surface maps (IDW)
• Contour generation
• Google Earth export:
  • KMZ

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Mapping Filter (Real-Time)

Only logs usable survey points based on:

• GPS validity
• HDOP threshold
• satellite count
• fix age
• speed constraints
• IMU pitch/roll limits
• minimum spatial spacing

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Example Data

Included:

example_data/MAP00.csv

View the MAP00.CSV dataset

• Artificial Pacific Ocean data with realistic coastal depth + temperature profile.

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Quick Start

python csv_to_png_depth_points.py MAP00.csv
python csv_to_png_depth_interpolated.py MAP00.csv
python csv_to_png_depth_contours.py MAP00.csv
python csv_to_kml_points_colored.py MAP00.csv
python csv_to_kmz_depth_overlay.py MAP00.csv

Open the .kmz file in Google Earth.

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Known Limitations

• Ultrasonic depth sensing:

  • limited range
  • beam spread
  • environmental sensitivity

• No salinity correction

• GPS limits spatial resolution

• Interpolation = modeled surface (not direct measurement)

• Map quality depends on survey path + density

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Stability

• Alpha-stage code
• File formats may evolve
• Scripts not fully optimized
• Error handling still improving

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Roadmap

• Additional sensor testing
• Collect real example data
• Pressure-based depth sensor
• Salinity-aware correction
• Improved interpolation methods
• Real-time visualization
• Better map styling + export options
• Expanded documentation

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Notes

This version establishes a complete system from embedded sensing to geospatial output.

It functions as both:

• a measurement tool
• a mapping and visualization pipeline

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