Tools tagged with "Subsidence"

MintPy is an open-source Python package developed for processing Interferometric Synthetic Aperture Radar (InSAR) time-series data. It specializes in analyzing ground deformation by extracting precise displacement measurements from satellite imagery. The software provides tools for various geodetic applications, including monitoring earthquakes, volcanoes, and land subsidence.

The OS Data Hub provides a comprehensive platform for geospatial solutions, offering APIs, a download service, a data package creator, and various user applications. It offers access to a wealth of free and premium Ordnance Survey products, enhancing geospatial projects with detailed mapping and environmental data.

This library, hosted on GitHub, provides tools for InSAR phase linking, a critical technique for measuring surface displacement. It supports both persistent scatterer (PS) and distributed scatterer (DS) processing methods. The primary goal is to facilitate the generation of accurate surface displacement maps, crucial for various geoscientific applications.

The European Ground Motion Service (EGMS) offers high-precision data on ground movements across Copernicus participating countries. This service leverages space-based remote sensing technology, specifically Synthetic Aperture Radar Interferometry (InSAR) from Sentinel-1, to detect and measure ground motion with millimeter accuracy. The data is updated annually, supporting diverse applications from infrastructure monitoring to urban planning and climate change research.

InSAR.dev is the next evolution of PyGMTSAR, offering a federated Python ecosystem for satellite interferometry. It separates the workflow into SLC data preparation and core interferometric analysis, designed to scale efficiently across hundreds or thousands of bursts, multiple polarizations, and orbital paths. The ecosystem consists of three Python packages: insardev_toolkit, insardev_pygmtsar, and insardev, facilitating advanced InSAR processing.

NLOG (Netherlands Oil and Gas Portal) offers a comprehensive online platform for accessing geological and subsurface data for the Netherlands. It provides access to raw and interpreted data, including boreholes, seismic data, production figures, and models, primarily derived from the DINO database.

This book details five and a half years of research into radar interferometry, a space-geodetic technique for measuring Earth's topography and deformation with high precision. It addresses critical issues such as data interpretation and the propagation of various errors from sensors, processing, and atmospheric effects. The work aims to provide a quantitative approach for understanding and mitigating errors in interferometric measurements.

This GitHub organization hosts the Algorithm Development Team (ADT) for the OPERA project. The team focuses on developing and sharing open-source algorithms for processing remote sensing data, particularly from Synthetic Aperture Radar (SAR) missions. Their work supports the creation of various Earth observation products for end-users.