Tools tagged with "Data Formats"

This page offers general vector datasets for Romania, including administrative boundaries, state frontiers, and localities. Data is frequently updated and accessible in multiple formats like Shapefile, TopoJSON, FlatGeobuf, CSV, and KML. Users can also access the data via WMS/WFS web services or visualize it online through an Open Layers application.

Titiler is an open-source project hosted on GitHub by Development Seed, providing a powerful tool to create dynamic map tile services from raster data. It enables users to serve geospatial imagery and other raster datasets as web-friendly tiles, facilitating interactive mapping applications.

Martin is an open-source, high-performance tile server designed for geospatial data. It provides efficient serving of tiles from PostGIS databases, MBtiles, and PMtiles formats. Additionally, it offers robust tooling for tile generation and management, making it a comprehensive solution for web mapping applications.

The protomaps/basemaps GitHub repository offers a robust solution for creating custom basemaps. It focuses on generating PMTiles, an efficient single-file format for vector and raster tiles, directly from OpenStreetMap data. The project also includes various cartographic styles, enabling users to customize the visual presentation of their maps.

This open-source project provides ready-to-use basemaps for mapping historical data on global or continental scales. The datasets consist of georeferenced boundaries of past political entities, primarily for academic and research applications. Users are encouraged to verify the data against other sources due to its work-in-progress nature.

The U.S. Census Bureau offers various mapping files for download, enabling users to integrate geographical information into their GIS projects. Available formats include Shapefiles (Partnership, TIGER/Line, Cartographic Boundary), KML, and File Geodatabase files. These resources support data visualization, analysis, and research related to U.S. demographic and economic data.

This web-based platform offers a quick and simple way to create, view, and share spatial data using the GeoJSON format. Powered by Mapbox, it provides an intuitive interface for interacting with geographic features.

This dataset provides Sentinel-2 Level-2A satellite imagery in Cloud-Optimized GeoTIFF (COG) format, offering high-resolution optical data for land monitoring. It includes global coverage with frequent updates, accessible via AWS, and is accompanied by SpatioTemporal Asset Catalog (STAC) metadata, making it easily discoverable and usable for various geospatial applications.

This archive provides accurate and precise column-averaged abundances of various atmospheric gases like CO2, CH4, and H2O, retrieved from direct solar spectra recorded by the TCCON network. Data is publicly available in netCDF format, along with auxiliary information like averaging kernels and a priori profiles for research and analysis.

The KyFromAbove initiative offers a current basemap for Kentucky, including leaf-off aerial photography and LiDAR data. This resource supports state, federal, local, and regional users by providing open data to reduce GIS application development costs and promote data sharing. All data is made publicly available.

This platform provides access to geospatial data from the Illinois Department of Transportation. Users can discover, analyze, and download data in various formats like CSV, KML, GeoJSON, and GeoTIFF, and utilize API links for GeoServices, WMS, and WFS. It also supports building and exploring applications, charts, and thematic maps.

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.

The SRTM Tile Grabber was designed to facilitate the download of Shuttle Radar Topography Mission (SRTM) elevation data tiles. Although direct download links from this tool are no longer functional as of January 2021, it remains a valuable resource for identifying specific SRTM tile names. Users can still use the map to determine which 90-meter resolution GeoTIFF files to download from external mirrors like CGIAR's website.

BD TOPO® provides a detailed 3D vector description of France's territory and infrastructure with metric precision, suitable for scales from 1:2,000 to 1:50,000. It covers all national geographic and administrative entities, supporting visualization, positioning, and simulation for territorial analysis and operational management.

lonboard is a powerful Python library designed to enable rapid and interactive visualization of geospatial vector data. It integrates seamlessly into Jupyter notebooks, providing a robust solution for data scientists and GIS professionals to explore and analyze spatial information directly within their development environment.

This record serves as a portal to an extensive aerial laser scanning (ALS) and photogrammetry dataset covering approximately 1.0 km² in Sunset Park, Brooklyn, NY. The data was captured in April 2019, providing detailed representations of the urban environment. It includes LiDAR point clouds, full waveform files, and RGBI Nadir imagery for various research and practical applications.

This dataset offers New Zealand's publicly owned digital elevation and surface models, freely available under an open license. It includes 1m resolution grids derived from LiDAR data, provided as Cloud Optimised GeoTIFFs (COGs) with LERC compression. Each elevation file is accompanied by STAC metadata, organized by region and survey, and regularly updated as new data is published.

This resource offers global datasets quantifying spatial heterogeneity of terrestrial habitats. Utilizing textural features from MODIS Enhanced Vegetation Index (EVI) imagery, it provides 14 distinct metrics at multiple resolutions. These layers are crucial for researchers and modelers focused on biodiversity and ecosystem assessments.

This dataset provides near, mid, far, and full stack (with AGC) imaged 3D seismic data, along with a decimated stacking velocity field. Covering approximately 2,900 km2, it is primarily used in oil and gas exploration within Australia. The data is converted to open-source MDIO format and hosted on AWS S3, licensed under CC BY 4.0.

This record provides aerial laser scanning (ALS) and photogrammetry data from a 2015 flight over Dublin, Ireland. It includes 3D point-cloud (LAZ), 3D full waveform LiDAR (LAS and Pulsewave), and ortho-rectified 2D rasters, covering over 2km² with 1.4 billion laser points.

swisstopo is the national mapping agency of Switzerland, offering a wide array of geospatial data products and services. These include various digital maps, aerial and satellite imagery, landscape and height models, and specialized geological and aeronautical maps. The organization also develops and maintains geodetic software to support surveying and mapping needs.

This resource provides global, remote-sensing supported environmental layers at 1-km resolution for assessing status and trends in biodiversity, ecosystems, and climate. It offers two versions of consensus land-cover datasets, integrating multiple satellite products.

This U.S. Census Bureau resource provides access to cartographic boundary files. These files are available in shapefile format, offering geographic data for the United States across different years. Users can download these datasets for mapping and analysis purposes.

This GitHub repository hosts the GeoParquet specification, a standard for efficiently storing geospatial vector data, including points, lines, and polygons, within the Parquet file format. It defines how to represent geographic features and their attributes in a columnar storage structure, enabling optimized spatial queries and analytics. The project is maintained by the Open Geospatial Consortium (OGC).

GeoArrow-rs is an open-source project implementing the GeoArrow specification for high-performance geospatial data processing. It provides bindings for Rust, Python, and JavaScript (via WebAssembly), enabling efficient, vectorized geometry operations across various environments. This project aims to standardize and accelerate geospatial data workflows.

This platform provides access to a wide array of Michigan geospatial datasets, allowing users to browse by category or search by keywords. It enables previewing and exploring attributes of datasets before downloading them in various formats like ESRI shapefile, spreadsheet, KML, or via API.

This repository offers a global dataset of building density and height, generated quarterly by applying machine learning models to PlanetScope basemaps. It provides a global public layer and detailed data for five high-growth locations, distributed as Cloud-Optimized GeoTIFFs (COGs). The resource supports both data exploration and model training for users interested in urban development analysis.

EOxCloudless provides high-resolution, cloud-free satellite imagery derived from the ESA Copernicus Sentinel-2 mission. These elaborately post-processed images are optimized for various applications, including web maps and desktop GIS tools. The service offers both prerendered map caches and source mosaics for diverse user needs.

This guide from the University of Minnesota Libraries serves as a robust, though not exhaustive, resource for geospatial data. It aims to identify and provide access to a wide array of online GIS data and related resources, suitable for various research and learning needs. The collection encompasses both globally accessible and institutionally licensed datasets, covering diverse geographic scales and thematic areas.

MondoGIS serves as a valuable Italian online resource, curating and providing direct links to a wide array of geospatial data freely available from national entities, regional governments, and open-source initiatives. It acts as a central hub for users seeking diverse GIS datasets, from administrative boundaries to seismic information.

This USGS Open-File Report offers a directory of spatial data related to coal in the former Soviet Union. It includes datasets for coal sample points, coal deposits, and coal basins, derived from various geological surveys and compiled by the USGS. Data is available in multiple GIS and text formats for direct download.

This platform provides access to geospatial data from the Louisiana Department of Transportation & Development. Users can discover, analyze, and download various datasets in formats like CSV, KML, GeoJSON, and GeoTIFF. It also offers API links for GeoServices, WMS, and WFS, enabling further analysis with charts and maps.

The CNG Blog is the official blog of the Cloud-Native Geospatial Forum, a community dedicated to advancing cloud-native geospatial practices. It features articles on new technologies, community sprints, technical developments, and expert insights.

This Rust library provides an implementation of the Geohash algorithm, enabling efficient encoding and decoding of longitude-latitude tuples into and from hashed strings. It facilitates spatial indexing and proximity searches by converting precise geographic coordinates into a compact, searchable string format.

OpenDTM-DE is a project to create a unified, high-resolution Digital Terrain Model (DTM) for Germany. It aggregates freely available 1-meter resolution terrain models from individual German federal states. This initiative addresses the absence of a nationwide high-resolution DTM from the BKG, offering essential geospatial data products.