Tools tagged with "Big Data"

S1Tiling is an open-source software project hosted on GitLab, designed for the automatic ortho-rectification of Sentinel-1 Synthetic Aperture Radar (SAR) data. It processes this data to align with the Sentinel-2 tiling grid, making it suitable for integration with optical imagery analysis. The tool aims to simplify the preparation of Sentinel-1 data for various geospatial applications.

Development Seed focuses on improving planetary observation through robust cloud infrastructure for managing vast geospatial data. The company applies artificial intelligence to solve environmental challenges and designs user-centric geo-data products for actionable insights.

This resource offers access to the d559000 dataset, a four-kilometer long-term regional hydroclimate reanalysis over the conterminous United States (CONUS). It is hosted on the NSF NCAR Geoscience Data Exchange (GDEX), a platform dedicated to facilitating access to geoscience data. The platform provides various resources for data discovery, access, and analysis.

This GitHub repository compiles a comprehensive list of open geospatial datasets hosted on Amazon Web Services (AWS). It serves as a valuable resource for developers, researchers, and data scientists seeking readily available geospatial data for various applications and projects, streamlining access to critical information.

Kepler.gl is an advanced web application designed for geospatial data visualization and analysis. It leverages WebGL to provide high-performance rendering capabilities for large datasets. This tool enables users to create compelling and interactive maps, supporting various data types and analytic visualizations.

Daymet provides daily gridded estimates of minimum and maximum temperature, precipitation, humidity, shortwave radiation, and snow water equivalent. Data is available at a 1 km x 1 km spatial resolution for North America, offering critical environmental insights for research and applications.

Dr Robin Wilson is a freelancer specializing in Remote Sensing, GIS, Data Science, and Python. He offers expertise in processing large volumes of geospatial data, building cloud-native systems, and leveraging advanced machine learning for data insights. His services encompass the full spectrum of data analysis and scientific programming.

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 GitHub repository serves as a comprehensive catalog of open geospatial datasets. It organizes and lists data accessible through prominent platforms such as AWS, Google Earth Engine, Microsoft Planetary Computer, NASA CMR, and STAC Index, providing a valuable resource for geospatial professionals.

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.

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.