Top 85 satellite-imagery open source projects

Earth Observation Data Access Gateway

Display GeoTIFFs and soon other types of raster on your Leaflet Map

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

This repo is used to organize and collaborate in sprints for code projects, hackathons, STAC and metadata specs development

Twitter bot that posts videos showcasing how random locations in the world have changed since 1984.

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

A python package that extends Google Earth Engine.

Google Earth Engine side projects and tutorial scripts

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

A CLI for downloading, processing, and making a mosaic from Sentinel-1, -2 and -3 data

Xarray backend to Copernicus Sentinel-1 satellite data products

deck.gl layers and WebGL modules for client-side satellite imagery analysis

🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

Road and Building Segmentation in Satellite Imagery

A Curated List of Python Resources for Earth Sciences

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification (GRSL, 2017)

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"

Pre-trained VGG-Net Model for image classification using tensorflow

Satellite image time series in R

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.