Techniques for deep learning with satellite & aerial imagery

Satellite imagery for dummies.

A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

Datasets for deep learning with satellite & aerial imagery

framework for large-scale SAR satellite data processing

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

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

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Generalized data analysis workflow via a consistent easy to use interface.

API to get enormous amount of high resolution satellite images from satellites.pro quickly through multi-threading! create map your own map dataset. Bringing data to Humans.

A comprehensive list of NASA Earth science data products

DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

Interactive tools for spectral mixture analysis of multispectral raster data in Python

Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.

Software behind the RACE dashboard by ESA and the European Commission (https://race.esa.int), the Green Transition Information Factory - GTIF (https://gtif.esa.int), as well as the Earth Observing Dashboard by NASA, ESA, and JAXA (https://eodashboard.org)

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

An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)

Multi-Class Semantic Segmentation on Dubai's Satellite Images.