GeoDE (Geodesy Database Engine)

A comprehensive Python framework for automated GNSS data processing, analysis, and management. GeoDE integrates multiple geodetic software packages (GAMIT/GLOBK, GPSPACE, and soon M-PAGES) with PostgreSQL database management and web-based visualization tools.

Overview

GeoDE (Geodesy Database Engine) provides a complete solution for processing and managing large-scale GNSS datasets for geodetic applications. Originally developed by Demian Gomez and contributors, GeoDE handles the entire workflow from raw data ingestion to time series analysis, offering parallelized processing capabilities, robust metadata tracking, and comprehensive quality control tools.

Key Features

• 🚀 Parallel Processing - Distribute geodetic processing jobs across multiple compute nodes for maximum throughput
• 🗄️ PostgreSQL Integration - Centralized storage and management of RINEX data, station metadata, and processing results
• 🌐 GeoDE Desktop Web Interface - Interactive map-based visualization for monitoring station networks and managing metadata
• 📊 Time Series Analysis - Built-in tools for plotting and analyzing position time series with ETM (Extended Trajectory Model) fitting
• 🔍 Quality Control - Automated detection of metadata inconsistencies and data gaps
• 📡 Multi-Format Support - Handle RINEX 2/3, Hatanaka compression, and various coordinate systems
• 🔧 Multi-Software Integration - Seamlessly process data using GAMIT/GLOBK, GPSPACE, and M-PAGES (NGS)

Architecture

GeoDE consists of two main components:

1. Command Line Interface (CLI) - Core processing engine for parallel GNSS analysis
2. Web Interface - Django-based frontend for station monitoring and metadata management

Installation

Prerequisites

Ensure the following dependencies are installed and available in your PATH:

• GAMIT/GLOBK - http://www-gpsg.mit.edu/gg/
• GFZRNX - https://gnss.gfz-potsdam.de/services/gfzrnx
• rnx2crx/crx2rnx - https://terras.gsi.go.jp/ja/crx2rnx.html
• GPSPACE - https://github.com/demiangomez/GPSPACE
• PostgreSQL (server)
• Python 3.10

Database Setup

1. Deploy the database skeleton using database/gnss_data_dump.sql
2. Configure required tables using the provided CSV files:
   • keys.csv - System configuration keys
   • rinex_tank_struct.csv - RINEX file storage structure
   • receivers.csv & antennas.csv - IGS equipment codes
   • gamit_htc.csv - Antenna height/offset calibrations

CLI Installation

pip install geode-gnss

Create a working directory and configure gnss_data.cfg with your database connection, archive paths, and compute nodes. See Installation.md for detailed configuration options.

Core CLI Tools

Data Management

• ArchiveService.py - Service for managing archive operations and locks
• DownloadSources.py - Automated RINEX data retrieval from external sources
• ScanArchive.py - Archive scanning, station info insertion, and PPP processing

Analysis & Visualization

• PlotETM.py - Time series plotting with trajectory model fitting
• AlterETM.py - Modify ETM parameters (polynomial terms, jumps, periodic signals)

Station Selection Syntax

All CLI tools support flexible station selection:

# Single station
PlotETM.py igs.pwro

# Multiple stations
PlotETM.py igs.pwro igs.onsa

# All stations in a network
PlotETM.py igs.all

# Country code (ISO 3166)
PlotETM.py ARG

# Wildcards (regex style)
PlotETM.py ars.at1[3-5]  # at13, at14, at15
PlotETM.py ars.at%       # all stations starting with 'at'

# Exclusions
PlotETM.py igs.all *igs.pwro  # all IGS stations except pwro

# Selection by type (requires GeoDE Studio tables api_stationtype and api_stationmeta)
PlotETM.py ARG:CONTINUOUS  # Continuous stations in Argentina
PlotETM.py CHL:CAMPAIGN    # Campaign stations in Chile
PlotETM.py USA:CORS        # CORS stations in USA
PlotETM.py all:CONTINUOUS  # All CONTINUOUS stations

# Geographic region selection
PlotETM.py ARG:LAT[-35,-40]            # All stations in ARG within LAT range
PlotETM.py ARG:BBOX[-30,-40,-70,-60]   # Bounding box in Argentina
PlotETM.py ARG:PLATE[SC]               # Argentina stations in the Scotia plate
PlotETM.py ARG:RADIUS[-35.5,-65.2,500] # 500 km radius around point

# Combined filters
PlotETM.py ARG:CAMPAIGN:RADIUS[-35.5,-65.2,500] # 500 km radius around point, only campaign sites

Web Interface

The web interface provides:

• 🗺️ Interactive Map - OpenStreetMap-based visualization with station status indicators
• 📋 Station Details - Equipment history, coordinates, photos, and site visit logs
• 📁 RINEX Management - File browser with metadata validation and gap detection
• ⚙️ Metadata Editor - Web-based forms for updating station information
• 🔍 Search & Filters - Query stations by code, network, country, or date range

Key Indicators

• 🟢 Green markers - Stations with complete, validated metadata
• 🔴 Red markers - Stations requiring attention (missing metadata or errors)
• ⚠️ Warning icons - RINEX files with metadata inconsistencies

See WebInterface.md for detailed interface documentation.

Example Workflows

Process new RINEX data

# Download and scan for new files
DownloadSources.py igs.all -win 7

# Run PPP solutions
ScanArchive.py igs.all -ppp

# Plot time series
PlotETM.py igs.pwro -gui

Add earthquake jump to trajectory model

AlterETM.py igs.pwro -fun j + 1 2024/02/15 30,60

Documentation

• Installation Guide - Detailed setup instructions
• Web Interface Guide - Complete UI documentation
• CLI Reference - Command-line tool usage

Citation

If you use GeoDE in your research, please cite:

Gomez, D.D., et al. (2024). GeoDE: Geodesy Database Engine for automated GNSS processing and analysis. GitHub repository. https://github.com/demiangomez/geode

License

BSD 3-Clause License

Support

For questions, issues, or contributions, please open an issue on the GitHub repository.