Tools tagged with "Command Line Interface"

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.

This GitHub repository features an extensive, community-driven compilation of geospatial tools and resources. It serves as a valuable hub for developers, researchers, and enthusiasts seeking various software, libraries, datasets, and educational materials in the geospatial domain. The list is continuously updated, reflecting the dynamic nature of the geospatial technology landscape.

Open3D is an open-source library designed for the rapid development of software involving 3D data. It provides a highly optimized backend for parallelization and exposes a curated set of data structures and algorithms in both C++ and Python. The library supports various 3D data processing tasks, including scene reconstruction, surface alignment, and advanced visualization with physically based rendering.

Who’s On First is a comprehensive gazetteer containing over 26 million records of places worldwide, ranging from continents to individual venues. Each entry features a stable identifier and a rich set of descriptive properties. The project offers its data in various formats, including GeoJSON and SQLite, and provides an API for programmatic access.

PDAL is an open-source C++ library and suite of applications designed for the translation and processing of point cloud data. It provides a common abstraction layer for various point cloud formats, enabling users to read, write, filter, and manipulate large geospatial datasets efficiently.

SatDump is a versatile, open-source software designed for processing satellite data, offering both graphical user interface (GUI) and command-line interface (CLI) options. It supports the handling of recorded data for offline processing and enables live processing directly from Software Defined Radio (SDR) devices. The tool provides a structured approach to satellite data analysis, with comprehensive documentation available for detailed use cases.

displaz is an open-source, hackable lidar viewer designed for visualizing point cloud data. Hosted on GitHub, it encourages community contributions for its development and enhancement, providing a flexible platform for geospatial professionals and enthusiasts.

rio-color is a lightweight rasterio plugin that enables basic color-oriented image operations on geospatial rasters. It offers gamma adjustment, sigmoidal contrast, and saturation controls, specifically designed for efficiency and to retain all GeoTIFF information.

OpenDroneMap/ODM is an open-source command-line tool designed for processing aerial imagery. It transforms images captured by drones, balloons, or kites into valuable geospatial products. This toolkit is essential for users needing to create detailed maps, reconstruct 3D environments, and generate elevation models.

OpenDroneMap is a suite of open-source tools designed for processing aerial images from drones. It enables users to create high-quality geospatial products like orthomosaics, point clouds, 3D models, and digital elevation models, supporting various camera types and image orientations. The project fosters a sustainable ecosystem for aerial data collection, processing, analysis, and display, backed by a collaborative community.

This blog, maintained by Robin Wilson, serves as a valuable resource for discovering interesting links and discussions within the geospatial and GIS community. It frequently highlights new open datasets, web mapping libraries, command-line tools, and developments in spatio-temporal asset catalogs (STAC). The content often delves into technical aspects of databases, programming, and open-source software.

Terracotta is an open-source XYZ tile server designed for serving raster data efficiently. It leverages Flask for the web framework and Rasterio for robust geospatial data processing, making it suitable for a wide range of web-mapping applications. This tool provides a straightforward way to turn your geospatial rasters into web-ready tiles.

GDAL is an open-source translator library for raster and vector geospatial data formats, released under an MIT-style license by the Open Source Geospatial Foundation. It provides a unified abstract data model for various formats to applications and includes command-line utilities for data translation and processing.

MB-System is a freely distributed, open-source software package designed for Unix platforms. It provides programs to manipulate, process, list, and display swath sonar bathymetry, amplitude, and sidescan data. The core MBIO library enables transparent handling of various sonar data formats, facilitating generic utility application.

This resource provides a structured introduction to GIS programming, guiding users through software setup, Python fundamentals, and key geospatial libraries. It covers essential tools for data analysis, visualization, and cloud computing in a geospatial context, making complex topics accessible for learners.

Flash Point Classifier is a powerful and user-friendly software tool designed for rapid classification of airborne lidar point clouds. It transforms raw lidar data into actionable insights, offering custom classification options and the ability to manage data locally without cloud uploads. The software is cross-platform, available for Windows and macOS, and enhances productivity through streamlined workflows and parallel processing.

WhiteboxTools is an advanced geospatial data analysis platform designed for environmental applications, offering a comprehensive suite of tools for processing and analyzing various types of geospatial data. It serves as a powerful resource for researchers, students, and professionals in the field of geospatial science.

Nominatim is an open-source search engine designed to find locations and addresses using data from OpenStreetMap. It enables users to geocode geographic data and integrate powerful search capabilities into their own applications. This project allows for the creation of custom geocoding services.

Turf.js is an advanced open-source geospatial analysis library, providing a collection of modular, simple-to-understand JavaScript functions. It enables complex geospatial operations directly within browsers and Node.js environments, leveraging GeoJSON for data handling. The toolkit is designed for speed and efficiency, eliminating the need for server-side data processing.

Entwine is a powerful data organization library specifically built for managing massive point cloud datasets, including those with trillions of points. It can index anything readable by PDAL, supporting various sources like S3 and Dropbox. The library ensures completely lossless builds, preserving all points, metadata, and precision.

This GitHub repository serves as a comprehensive collection of tools and libraries for working with GeoJSON data. It aims to make the process of manipulating, validating, and visualizing geospatial information more efficient and accessible for developers and GIS professionals alike.

H3 is a discrete global grid system, developed at Uber, designed for indexing geographies into a hexagonal grid. It enables efficient joining and aggregation of disparate datasets at various precision levels. The system supports a range of algorithms and optimizations for grid-based geospatial operations.

GRASS GIS is a powerful open-source geospatial processing engine designed for advanced modeling, time series analysis, and spatial data management. It supports terrain and ecosystem modeling, hydrology, and imagery processing, offering robust capabilities for large-scale analysis.

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.

Whitebox Geospatial is the home of WhiteboxTools, an open-source, fast, and innovative geospatial software. It offers a suite of tools and workflows for Python, along with extensions and a core library, enabling advanced geospatial analysis. The platform emphasizes open-source development and provides resources for learning and implementation.

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.

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.

This GitHub repository serves as a comprehensive "awesome list" dedicated to geospatial development using the Rust programming language. It meticulously collects and organizes a wide array of software, libraries, tools, and various resources. The list aims to be a central hub for anyone interested in leveraging Rust for geospatial applications and projects.

This dataset provides wildfire projections for California and its surrounding areas, developed to support California's Fifth Climate Assessment. It integrates historical weather observations and renewable energy capacity profiles, aiding in climate resilience and grid operations planning. The data is managed by Cal-Adapt: Analytics Engine.

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.

openMVG (open Multiple View Geometry) is a C++ library that offers a complete solution for 3D computer vision tasks, particularly focusing on Structure from Motion (SfM). It provides robust algorithms and tools for reconstructing 3D scenes from multiple images, making it a fundamental resource for photogrammetry and related applications.

The NASA Ames Stereo Pipeline is a comprehensive collection of automated geodesy and stereogrammetry tools. It is specifically engineered to process planetary imagery acquired from orbiting and landed robotic explorers on other celestial bodies, facilitating advanced geospatial analysis beyond Earth.

COLMAP is a sophisticated open-source photogrammetry software solution designed for 3D reconstruction from collections of images. It implements a robust and modular Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline. This tool is widely used for generating dense point clouds and 3D models from unordered image sets, making it valuable for various computer vision and geospatial applications.

Orfeo ToolBox (OTB) is a powerful C++ library designed for processing satellite images and other high-resolution geospatial data. It offers a wide array of image processing algorithms, including classification, segmentation, filtering, and geometric corrections, making it a robust solution for remote sensing applications.

This GitHub repository serves as an "awesome list" for photogrammetry, collecting a wide range of projects, libraries, and tools related to the field. It provides a community-driven compilation for developers, researchers, and enthusiasts looking for relevant resources. The list aims to categorize and highlight significant contributions in photogrammetry.