Tools tagged with "Github"

Lidar is a specialized Python package designed for analyzing high-resolution topographic data, particularly Digital Elevation Models (DEMs) derived from LiDAR. It enables the delineation of the nested hierarchy of surface depressions, offering crucial insights for hydrological and geomorphological studies. The tool is openly available and supported by comprehensive documentation.

PROJ is a fundamental open-source library designed for performing cartographic projections and coordinate transformations. It provides essential functionalities for converting geospatial data between various coordinate reference systems, making it a critical component in many GIS and mapping applications. The library ensures accurate and reliable transformations for diverse geographical contexts.

Terratorch is an open-source Python toolkit developed by terrastackai. It provides essential functionalities and tools for researchers and developers to fine-tune Geospatial Foundation Models (GFMs), adapting them to specific tasks and datasets. This platform facilitates advanced machine learning applications within the geospatial domain.

This GitHub repository provides an unofficial Docker image for Photon, an open-source geocoding solution. Photon is designed for OpenStreetMap (OSM) data, offering features such as search-as-you-type and reverse geocoding capabilities. The Docker image enables local deployment, enhancing data privacy and integration with other services.

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.

motis is an open-source project hosted on GitHub, providing functionalities for multimodal routing, geocoding, and the generation of map tiles. This tool supports various transportation modes and helps in location-based services by enabling efficient pathfinding and address resolution.

GeeFlow is a Python library from Google DeepMind designed for generating and processing large-scale geospatial datasets using Google Earth Engine. It focuses on supporting geospatial AI research by creating datasets in TFDS format, ready for model training, and enabling the creation of inference maps up to global scale.

rioxarray is an open-source Python library that extends xarray with geospatial capabilities, leveraging the power of rasterio. It simplifies working with georeferenced raster data, enabling users to efficiently read, write, and manipulate multi-dimensional geospatial arrays. This tool is ideal for data scientists and researchers handling large-scale imagery and raster datasets.

Laravel-Magellan is a robust PostGIS toolbox designed for Laravel applications. It provides comprehensive functionalities for integrating and managing geospatial data within a Laravel framework. This package simplifies common PostGIS operations, enabling developers to build powerful location-aware features.

This plugin seamlessly integrates Google Earth Engine with QGIS, providing users with powerful geospatial analysis capabilities. It leverages the Google Earth Engine Python API to enable advanced remote sensing and data processing directly within the QGIS environment.

geobr provides a user-friendly interface to access official spatial data sets of Brazil. It simplifies the process of downloading, reading, and organizing various geographic data for researchers and analysts. The package supports both R and Python environments, making it versatile for different programming preferences.

GeoIntel is an open-source project leveraging Google's Gemini API for advanced geo-location analysis. It focuses on using artificial intelligence to accurately determine the precise geographic location where a photograph was originally captured. This tool provides capabilities for uncovering hidden spatial data within image metadata.

This GitHub repository presents an "awesome list" dedicated to frontend geospatial development. It serves as a comprehensive collection of libraries, frameworks, tools, and learning materials for building web-based GIS applications. Developers can explore various resources to enhance their skills in creating interactive and data-rich mapping experiences.

This open-source GitHub repository serves as a central hub for train station data. It includes extensive metadata for various stations, making it a valuable resource for developers and data analysts working with transportation information. The project encourages community contributions to maintain and expand the dataset.

CoastSat is an open-source Python software toolkit designed for global shoreline mapping. It enables users to obtain time-series of shoreline position at any coastline worldwide. The tool leverages 40 years (and growing) of publicly available satellite imagery from Landsat and Sentinel-2 missions.

City Energy Analyst (CEA) is an open-source urban building energy modeling (UBEM) platform. It provides a comprehensive suite of computational tools designed to facilitate the planning and design of low-carbon and highly efficient urban environments. The platform supports various analyses for sustainable city development.

Potree is an open-source WebGL-based point cloud viewer, enabling users to interactively explore extensive 3D point cloud datasets directly within a web browser. It provides a robust solution for visualizing remotely sensed data, supporting various applications from urban planning to environmental monitoring.

LiDAR and Aerial Archaeology offers free LiDAR and aerial photography maps from various global regions. It also provides access to other related archaeological resources, including training materials and geological data.

MDAL is an open-source Mesh Data Abstraction Library designed to handle and manage mesh data for various geospatial applications. It serves as a crucial component for interacting with unstructured, 3D layered, and 1D meshes, particularly within GIS software ecosystems. The project is recognized as an OSGeo Community Project, ensuring its commitment to open standards and collaborative development.

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.

pgpointcloud is a PostgreSQL extension designed to efficiently store and manage point cloud data, specifically LIDAR data. It provides robust capabilities for handling large datasets, enabling geospatial professionals to integrate high-density spatial information directly within their database infrastructure.

mappymatch is an open-source, pure-Python package designed for efficient map matching. It helps align GPS traces or other spatial trajectories to a digital road network, providing accurate location context for moving objects. Developed by NREL, this tool supports various geospatial analysis and transportation applications.

This GitHub repository serves as a comprehensive collection point for open-source resources dedicated to agriculture. It aims to centralize access to datasets, software tools, and deployment platforms that support open-source agricultural practices and research. The initiative provides a valuable hub for developers, researchers, and practitioners in the agri-tech community.

OpenLayers is a powerful, open-source JavaScript library designed to embed dynamic maps into any web page. It supports displaying map tiles, vector data, and markers from various sources, making it versatile for diverse geographic information needs. Released under the 2-clause BSD License, it provides a free and flexible solution for web mapping development.

AnytimeFormer is a deep learning model designed to reconstruct land surface reflectance at any given time by effectively fusing irregular and asynchronous Synthetic Aperture Radar (SAR) and optical time series data. It addresses the challenge of combining diverse satellite data streams to provide continuous, high-quality environmental monitoring. The project offers a robust solution for generating comprehensive reflectance products from disparate remote sensing observations.

s2geometry is a powerful open-source library developed by Google for performing computational geometry and spatial indexing on the surface of a sphere. It provides a robust framework for tasks such as proximity searches, geometric operations, and efficient storage of spherical data.

This platform is designed for managing and analyzing geospatial trajectory data efficiently. Built on top of PostgreSQL and PostGIS, it extends their capabilities to handle complex moving object data, enabling advanced spatiotemporal queries and analysis.

The force framework offers an open-source solution for operational radiometric correction, essential for accurate environmental monitoring. It processes satellite imagery to mitigate atmospheric and sensor effects, ensuring reliable data for analysis. This framework supports consistent, high-quality data generation for long-term environmental assessments and research.

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.

libpostal is a C library that leverages statistical Natural Language Processing (NLP) and open geospatial data to parse and normalize street addresses from around the world. It converts free-form human addresses into clean, machine-comparable formats, serving as a crucial preprocessing step for geocoding applications.

This GitHub repository serves as a central hub for information on the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission. It provides essential resources and guidance for users to effectively locate, retrieve, and process ECOSTRESS data products for various scientific analyses and applications.

PyTorch Wildlife is an AI platform designed for the AI for Conservation community. It allows users to create, modify, and share powerful AI conservation models, directly loading various models like MegaDetector, DeepFaune, and HerdNet from its expanding model zoo for animal detection and classification. The framework aims to provide a unified and straightforward experience for building and deploying conservation AI.

geodiff is a powerful open-source library designed to compare two geospatial datasets and generate change sets, or 'diffs'. It supports various data formats including GeoPackage files, PostGIS, SQLite, and PostgreSQL databases. The library allows users to apply these generated diffs to update existing datasets, making it an essential tool for managing changes in spatial data.

async-tiff is an open-source library designed for asynchronously reading TIFF files, specifically catering to geospatial applications. It provides robust capabilities for handling large TIFF datasets efficiently in both Rust and Python environments, making it suitable for modern data processing workflows. This project facilitates the integration of TIFF data into high-performance computing and cloud-native architectures.

This open-source application, developed by NASA-IMPACT, provides a tool for visualizing and exploring fire event data. It aims to facilitate understanding and analysis of wildfire occurrences across the United States.