Tools tagged with "Geohazards"

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.

Pyrocko is a flexible open-source seismology environment and framework, providing building blocks for researchers and students. It is utilized for various geophysical tasks, including seismological data processing and analysis, modeling of InSAR and GPS data, dynamic waveforms, and seismic source characterization.

This geoportal serves as the official open data site for the Hawaii Statewide GIS Program, providing centralized access to a diverse collection of geospatial datasets for the state. It allows users to explore, visualize, and download data related to various aspects of Hawaii's environment, infrastructure, and demographics.

The British Geological Survey (BGS) offers comprehensive access to its vast geological data and material collections. This is achieved through a suite of dedicated online databases, web services, and application programming interfaces (APIs), enabling users to integrate and utilize BGS information.

The Airborne Visible Infrared Imaging Spectrometer (AVIRIS) is a NASA JPL instrument designed to collect hyperspectral imagery of Earth's surface. It plays a crucial role in various scientific research missions, monitoring environmental impacts, natural hazards, and ecological changes across diverse landscapes. The project offers access to collected data, flight planning information, and research publications.

This portal provides a centralized hub for accessing geospatial open data and applications from various Washington State agencies. It aims to enhance government efficiency and responsiveness by making critical spatial information readily available to the public. Users can explore a wide array of datasets and interactive maps across diverse categories.

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.

SNIAmb (Sistema Nacional de Informação do Ambiente) is Portugal's National Environmental Information System. It provides structured access to a wide array of environmental data and offers geographic visualization tools across various thematic areas, supporting environmental management and public consultation processes.

Fastscape is a landscape evolution model designed for speed, versatility, and user-friendliness. Hosted on GitHub, it provides a platform for researchers and practitioners to simulate complex geomorphological processes. The model aims to offer robust tools for understanding how landscapes change over time.

Geocatmin is an agile geographic information system that facilitates interactive and easy access to and comprehension of information. It provides comprehensive geological, mining, and energy data, primarily focusing on Peru but also including global information.

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.

This dataset contains various data and products recorded by the GeoNet sensor network, crucial for monitoring natural hazards across New Zealand. It includes GNSS, coastal gauge, camera images, waveform, seismic, and time series data, all vital for geological hazard assessment.

The Icelandic Institute of Natural History (Náttúrufræðistofnun Íslands) offers a comprehensive data download portal. It contains extensive collections covering various aspects of Iceland's natural environment, such as geographical names, land surveying, vegetation communities, ecosystems, bedrock and superficial deposits, species distribution, fossils, and minerals.

LiveEO specializes in providing satellite-powered risk intelligence for infrastructure and supply chain monitoring. The platform helps organizations proactively detect potential risks, ensure regulatory compliance, and enable faster, data-driven decision-making. It leverages satellite imagery, AI, and automation to deliver actionable insights.

grond is a probabilistic earthquake source inversion framework, designed and crafted within the Pyrocko ecosystem. This robust tool provides functionalities for analyzing seismic data and inverting for earthquake source parameters, employing advanced probabilistic methods.

NCEI and the World Data Service for Geophysics maintain the Global Historical Tsunami Database. This unique resource supports tsunami warning centers, engineers, oceanographers, seismologists, and the public by providing information on tsunami events from 2000 B.C. to the present across major oceans and seas.

The Natural Science Institute of Iceland focuses on comprehensive research and data collection across various natural sciences. It provides information on Iceland's unique geological features, diverse flora, and significant natural hazards, contributing to scientific understanding and conservation efforts.

This online course from the University of Alaska Fairbanks focuses on the applications of Synthetic Aperture Radar (SAR) remote sensing for disaster monitoring. It covers weather and illumination-independent SAR technology and its use in analyzing natural hazards such as earthquakes, volcanic eruptions, and flooding.

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.

The Alberta Geological Survey (AGS) Open Data Portal offers a collection of GIS data and interactive maps focused on Alberta's geology. It provides geoscience information across various domains, including surficial mapping, bedrock mapping, resource evaluation, groundwater, and geological hazards. All data is open and freely available under the Open Government License - Alberta.

The Humanitarian Data Exchange (HDX) is an open data platform managed by OCHA that aims to make humanitarian data easy to find and use. It provides a central location for data related to humanitarian crises, allowing users to access datasets on various topics from different organizations for informed decision-making.

This three-week course introduces Geographical Information Systems (GIS) and their applications in generating Geospatial Intelligence (GEOINT) using ArcGIS Pro Desktop software. It covers fundamental GIS concepts, data types, data engineering, advanced analytical techniques, and cartography. Participants will learn to create, manage, analyze, and visualize geospatial data to support decision-making processes.

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.

The AFG Humanitarian Response MapCentre serves as a vital platform for accessing geospatial information critical to humanitarian efforts in Afghanistan. It compiles and disseminates maps and data to support planning, coordination, and response activities across the region.

TopoToolbox is a suite of MATLAB-based software tools designed for advanced topographic and geomorphological analysis. It provides functionalities for processing and interpreting digital elevation models, with applications spanning hydrology, erosion, and landscape evolution studies. The software is actively developed and maintained, offering robust capabilities for scientific research and data analysis.

This platform provides essential cartographic knowledge from the Geological and Mining Institute of Spain (IGME). It serves as a foundational resource for scientific, technical, and socioeconomic activities directly impacting the physical environment and natural resources. The data supports research and decision-making related to natural resource management, public works, agriculture, land use, territorial planning, environment, and natural hazards.

This platform offers a comprehensive collection of core data sets related to Natural Disaster Hotspots – A Global Risk Analysis. These data sets are freely available for download and include information on hazard frequency, distribution, mortality risks, and economic loss deciles for various natural disasters. The data is provided in common GIS-compatible formats to facilitate research and analysis.

This website serves as a central hub for geographic information system (GIS) data and online resources curated by the University of Nebraska–Lincoln's School of Natural Resources. It offers access to diverse datasets covering environmental, geological, and climate-related topics for research and public use, primarily focusing on Nebraska.

This NOAA National Centers for Environmental Information (NCEI) resource offers coastal digital elevation models (DEMs). These DEMs are crucial for researchers and decision-makers to understand and predict environmental changes affecting coastal regions, supporting various critical monitoring activities.

Landlab is an open-source, Python-based modeling library designed for simulating Earth surface dynamics. It provides a flexible framework with a focus on gridded data structures and interchangeable components, enabling researchers to build and customize complex geoscientific models. The library is particularly useful for exploring various landscape evolution scenarios and hydrologic processes.

This website presents the Global Seismic Hazard Map, an initiative focused on assessing and visualizing earthquake risks worldwide. It compiles and displays data from the Global Seismic Hazard Program, offering insights into potential ground shaking due to seismic activity across various regions. The platform serves as a vital resource for understanding geological hazards.

This program, managed by the U.S. Geological Survey, is dedicated to understanding earthquake processes and reducing their impacts across the United States and globally. It provides critical scientific information, data, and tools to assess seismic activity, evaluate hazards, and inform public safety and policy.

Geological Survey Ireland offers a wide array of geospatial datasets and online map viewers covering diverse geological aspects like bedrock, geochemistry, groundwater, marine, and geohazards. Users can access data through online viewers, download zip files, and utilize web services. The data is provided under a Creative Commons Attribution 4.0 International license, requiring specific attribution.

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.

This platform serves as the official open data portal for the Maine Geological Survey, offering a centralized resource for researchers, professionals, and the public. Users can explore and download a wide array of geospatial datasets related to Maine's geology and environment. The portal provides access to data organized by categories such as bedrock, surficial geology, hydrogeology, and coastal features.