Search Results for "satellite"
Sort By:
Showing 247 open source projects for "satellite"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
1
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
...You can also follow me on Twitter and LinkedIn where I aim to post frequent updates on my new discoveries, and I have created a dedicated group on LinkedIn. I have also started a blog here and have published a post on the history of this repository called Dissecting the satellite-image-deep-learning repo. -
2
Look4Sat
Open-source satellite tracker and pass predictor for Android
Track satellite passes with ease. Thanks to the huge database provided by Celestrak and SatNOGS you have access to more than 5000 active satellites orbiting Earth. You can search the entire DB by satellite name or by NORAD catnum. Satellite positions and passes are calculated relative to your location. To get reliable info make sure to set the observation position using GPS or QTH Locator in the Settings menu. -
3
Techniques
Techniques for deep learning with satellite & aerial imagery
This repository is a comprehensive, curated collection of deep learning techniques and best practices specifically applied to satellite and aerial imagery. It covers everything from preprocessing and annotation to model architectures and open datasets. The guide includes code snippets, links to research papers, and hands-on tools, making it valuable for researchers, engineers, and enthusiasts working in remote sensing and geospatial AI. -
4
GeoAI
GeoAI: Artificial Intelligence for Geospatial Data
GeoAI is a comprehensive open-source Python package designed to integrate artificial intelligence techniques with geospatial data analysis, enabling users to perform advanced geographic modeling and visualization tasks with ease. It provides a unified framework that combines machine learning libraries such as PyTorch and Transformers with geospatial tools, allowing users to process satellite imagery, aerial photos, and vector datasets in a streamlined workflow. The platform supports a wide range of tasks including image classification, object detection, segmentation, and change detection, making it suitable for applications in environmental monitoring, urban planning, and disaster response. GeoAI simplifies complex workflows by offering high-level APIs that abstract data preprocessing, model training, and inference, reducing the technical barrier for users who are not experts in both AI and geospatial systems. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
Digital Earth Australia notebooks
Repository for Digital Earth Australia Jupyter Notebooks
The knowledge hub brings together information about Digital Earth Australia’s products and services, allowing you to utilize our free and open-source satellite imagery archive. Browse our catalog of data products to find supporting information and ways to access the data. The Digital Earth Australia notebooks and tools repository (dea-notebooks) hosts Jupyter Notebooks, Python scripts and workflows for analyzing Digital Earth Australia (DEA) satellite data and derived products. This documentation is designed to provide a guide to getting started with DEA, and to showcase the wide range of geospatial analyses that can be achieved using DEA data and open-source software including Open Data Cube and xarray. -
6
Raster Vision
Open source framework for deep learning satellite and aerial imagery
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training models, creating predictions, evaluating models, and bundling the model files and configuration for easy deployment. ... -
7
SmartNode
Visual simulation platform for space-based data backhaul scenarios
smartNode is a visual simulation platform for space-based intelligent relay and satellite data-return scenarios. It models the relationship between satellites, ground stations, relay links, and content-driven task scheduling. The project includes a Python backend and a browser-based frontend, making it suitable for local simulation, teaching, and secondary development. Users can view a three-dimensional space situation, submit data return tasks, and monitor resource states in real time. ... -
8
SatelliteToolbox.jl
A toolbox for satellite analysis written in julia language
The SatelliteToolbox.jl contains a set of packages with functions to perform analysis and build simulations related to satellites. It is used on a daily basis on projects at the Brazilian National Institute for Space Research (INPE). -
9
CrazyScan
Satellite/terrestrial/cable scan software
Satellite/terrestrial/cable scan software. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
10
Satellite tracker reworked
Satellite tracking program
*Currently WIP* I made this satellite tracking program. It is not as full featured as gpredict, but it does still have support for controlling radios and rotators. Github page ↓ https://github.com/z-taylor/Satellite-tracker-reworked/ -
11
Globe.GL
UI component for Globe Data Visualization using ThreeJS/WebGL
...The component also provides controls for the globe surface, atmosphere, camera, animation, and rendering behavior. It is designed for applications such as geographic dashboards, network maps, satellite views, transportation visualizations, and other spatial data experiences. -
12
NVIDIA Earth2Studio
Open-source deep-learning framework
...It provides a unified API that lets researchers, data scientists, and engineers build complex forecasting and analysis pipelines by combining modular prognostic and diagnostic AI models with a diverse range of real-world data sources such as global forecast systems, reanalysis datasets, and satellite feeds. The toolkit makes it easy to run deterministic and ensemble forecasts, swap models interchangeably, and process large geophysical datasets with Xarray structures, enabling experimentation with state-of-the-art deep learning models for climate and atmospheric prediction. Users can extend Earth2Studio with optional model packs, advanced data interfaces, statistical operators, and backend integrations that support flexible workflows from simple tests to large-scale operational inference. -
13
react-globe.gl
React component for Globe Data Visualization using ThreeJS/WebGL
...Developers can combine several geographic layers and update them through normal React state and component workflows. The library is suitable for dashboards, geographic analytics, global networks, satellite displays, maps, and other React applications that require interactive spherical visualization. -
14
geemap
A Python package for interactive geospaital analysis and visualization
...Geemap is a Python package for geospatial analysis and visualization with Google Earth Engine (GEE), which is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. During the past few years, GEE has become very popular in the geospatial community and it has empowered numerous environmental applications at local, regional, and global scales. GEE provides both JavaScript and Python APIs for making computational requests to the Earth Engine servers. Compared with the comprehensive documentation and interactive IDE (i.e., GEE JavaScript Code Editor) of the GEE JavaScript API, the GEE Python API has relatively little documentation and limited functionality for visualizing results interactively. ... -
15
VirtualSatellite
Virtual Satellite
Virtual Satellite is a DLR open source software for model based systems engineering MBSE. One of the major features of Virtual Satellite is the modular data model, that can be easily customized to your personal needs. Today, there are already various different versions: - Virtual Satellite 4 - Core is the entry point to start developing and the basis for all other versions - Virtual Satellite 4 - CEF is a specialized version for the use in our Concurrent Engineering Facility - Virtual Satellite 4 - FDIR is a research version for Failure Detection, Isolation and Recovery - Virtual Satellite 4 - DEV IDE is a spezial Eclipse IDE for easy and fast VIrtual Satellite development. ... -
16
SaVi satellite constellation visualizer
Earth orbits and satellite coverage display in 3D on your laptop.
SaVi - simulate Starlink, Iridium, Globalstar, O3b, GPS, Galileo and other satellite constellations, modify them, or design your own. Requires Tcl/Tk and Unix libraries; 3D viewing option requires Geomview running on X Window. -
17
Earth Engine API
Python and JavaScript bindings for calling the Earth Engine API
The Earth Engine API provides Python and JavaScript client libraries for Google Earth Engine, a planetary-scale geospatial analysis platform. With it, users compose lazy, server-side computations over massive catalogs of satellite imagery and vector datasets without handling raw files locally. The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in notebooks or the Code Editor, and export results to Cloud Storage, Drive, or asset collections. ... -
18
SPELL
Satellite Procedure Execution Language and Library
SPELL is a framework composed of an integrated environment for the development and execution of satellite automated procedures. It is capable of running any procedure via different Ground Control System and for any spacecraft. The goal of SPELL is to have a powerful and readable automation language, which can be shared across Satellite Operators and Satellite Manufacturers. If we all use the same language, the cost and the risk associated with automated procedures will go down! ... -
19
Albumentations
Fast image augmentation library and an easy-to-use wrapper
...Albumentations supports different computer vision tasks such as classification, semantic segmentation, instance segmentation, object detection, and pose estimation. Albumentations works well with data from different domains: photos, medical images, satellite imagery, manufacturing and industrial applications, Generative Adversarial Networks. Albumentations can work with various deep learning frameworks such as PyTorch and Keras. -
20
leafmap
A Python package for interactive mapping and geospatial analysis
A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It... -
21
PreviSat
Satellite tracking software
PreviSat is a satellite tracking software for observing purposes. Very easy to use, it shows positions of artificial satellites in real-time or manual mode. PreviSat is able to make predictions of their passes, predictions of MetOp and COSMO-SkyMed flares, transits of all satellites, predictions of Starlink satellites passes and several other calculations. -
22
SmallPortableRotator
Portable rotator for amateur satellite tracking
Small Portable Rotator: a simple, lightweight, self-consistent antenna rotator for amateur radio satellite tracking, plus an optional portable controller. *** CHANGELOG *** [version 1.0]: - Added tighter control over rotation limits - Fixed some minor bugs - With the 'V' command the version is displayed and no longer the "built filename" -
23
Request TLE
Request TLE for given satellites and save it to the file
...It's strongly recommended register on the website "n2yo(dot)com/api/" and get your own key due to limitations of amount requests. To personalize list of the satellites, add your desired satellite IDs at line 3 and further. As an example, there are three satellite IDs added by default. -
24
GNSS-SDR
An open source software-defined GNSS receiver
An open source software-defined Global Navigation Satellite Systems (GNSS) receiver written in C++ and based on the GNU Radio framework. -
25
Kuwaiba Open Network Inventory and CMDB
Enterprise grade network inventory system and CMDB for telecom and IT
...Some use cases can be seen here: * General Overview / Broadcast Radio & TV https://passionateaboutoss.com/oss-sandpit-resource-inventory-module/ * Modeling a 5G network in Kuwaiba https://passionateaboutoss.com/oss-sandpit-5g-network-inventory-prototype/ * Passive Optical Networks http://passionateaboutoss.com/oss-sandpit-gpon-network-inventory-prototype/ * IoT and Smart Cities https://passionateaboutoss.com/oss-sandpit-smart-city-iot-network-inventory-prototype/ * Satellite-based Communications https://passionateaboutoss.com/oss-sandpit-satellite-network-inventory-prototype/ * Fixed Wireless Networks https://passionateaboutoss.com/oss-sandpit-fixed-wireless-network-inventory-prototype/ * Data Center Management https://passionateaboutoss.com/oss-sandpit-telco-cloud-dc-inventory-prototype/
