InSAR Norway Change Detection

A Python-based toolkit for querying, processing, and analyzing InSAR (Interferometric Synthetic Aperture Radar) data from the Norwegian Ground Motion Service.

What is InSAR?

InSAR (Interferometric Synthetic Aperture Radar) is a powerful remote sensing technique that uses satellite radar images to detect and measure ground movement with millimeter precision. This toolkit specializes in analyzing Sentinel-1 satellite data to identify ground motion changes over time.

Key Features

• Data Querying: Access multiple Sentinel-1 datasets from InSAR Norway
• Advanced Analysis: CPU-based change detection with multiple algorithms
• Interactive Visualization: GIS map viewer with historical data overlays
• Time-Series Analysis: Detailed plotting for specific measurement points
• Multi-Track Support: Both ascending and descending satellite tracks
• Statistical Analysis: Temporal changes and coherence measurements

Quick Start

Get started with the InSAR change detection toolkit in just a few steps:

1. Installation - Set up your environment
2. Quick Start Guide - Run your first analysis
3. User Guide - Detailed workflows

Workflow Overview

The analysis process follows three main steps:

1. Query Data - Download InSAR data for your area of interest
2. Process Data - Run change detection algorithms
3. Visualize Results - Explore results with interactive maps and plots

View Detailed Workflow - Interactive diagrams and step-by-step process

Getting Help

• Explore the Advanced section for GPU processing
• Check the API Reference for detailed command options
• Review the User Guide for comprehensive workflows

About

This project uses data from the Norwegian Ground Motion Service (insar.ngu.no) and is built with open-source libraries including NumPy, Pandas, Flask, GeoPandas, Rasterio, and Matplotlib.