Top 85 satellite-imagery open source projects

Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Core OSSIM (Open Source Software Image Map) package including C++ code for OSSIM library, command-line applications, tests, and build system

Global Forest Watch: An online, global, near-real time forest monitoring tool

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

A set of tools to use in Google Earth Engine Code Editor (JavaScript)

A simple yet highly configurable bot that tweets geotagged aerial imagery of a random location in the world.

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Satellite Stereo Pipeline

Decode satellite signals on Raspberry PI or any other 64-bit intel.

Satellite imagery for dummies.

Ground mobile data collection app for Android

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Resources for deep learning with satellite & aerial imagery

A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data

Static website for viewing and analyzing GeoTIFF's in the browser

📡 Receive images from weather satellite GEO-KOMPSAT-2A (GK-2A).

Tools for Downloading, Customizing, and Processing Time Series of Satellite Images from Landsat, MODIS, and Sentinel

Implementation of different techniques to find insights from the satellite data using Python.

Search and download Copernicus Sentinel satellite images

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Interactive interface for browsing global, full-resolution satellite imagery

Download and process satellite imagery in Python using Sentinel Hub services.

A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable

Data Preparation for Satellite Machine Learning

interactive notebooks from Planet Engineering

curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data

Open solution to the Mapping Challenge 🌎

A curated list of resources focused on Machine Learning in Geospatial Data Science.

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

📡 Receive images from weather satellite Himawari-8 via HimawariCast.

Detect container ships in Planet imagery using machine learning

Blazing Fast JavaScript Raster Processing Engine

Access satelite imagery where it is needed

To help quickstart impact work with Satellogic [hyperspectral] data

Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.

Experiments with satellite image data

Very simple API to download Landsat [1-5, 7, 8] data from Google

Building footprint segmentation from satellite and aerial imagery

Satellite image processing pipeline to classify land-cover and land-use

[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images

R Package to make Landsat8 data accessible

Live satellite imagery for your desktop background

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Analysis satellite images of typhoons in deep-learning (CNN).

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

Awesome Spectral Indices in Python.

Road Detection from satellite images using U-Net.

Satellite Imagery Feature Detection (68 out of 419)

Examples for a blog series on Geospatial Julia using ArchGDAL

Urban change model designed to identify changes across 2 timestamps

A ninja python package that unifies the Google Earth Engine ecosystem.

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

A tool for running deep learning algorithms for semantic segmentation with satellite imagery