awesome-earthobservation-code

Keiko Nomura shares her 10 favourite tips

2018 material javascript and Python to be found here

Best Available Pixel calculation using Google Earth Engine

Building Extraction and Damage Assessment from High Resolution Multi-spectral Images

CloudFrequency webapp, using Google App Engine

Crop Yield Prediction with Deep Learning with GEE

not checked but perhaps useful

Learn R and Python in Parallel

awesome-semantic-segmentation

'Most of these ‘tricks’ are things I’ve used or stumbled upon during my day-to-day work. '

Custom Jupyter Notebook Themes

Classification algorithm workshop for WiMLDS

Atmospheric correction in Python using a 6S emulator

ACOLITE_MR: Atmospheric correction for aquatic applications of metre-scale satellites

Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks.

This actinia plugin is designed for efficient satellite data handling, especially Landsat and Sentinel-2 scenes

Asynchronous cogeotiff reader

Detection of slums and informal settlements from satellite imagery

Python & the Command Line

Map Projections

Geodesy

Working with Satellite Data

Shaded Relief

Visualizing Data

Developing an open source library to compare Earth Observation and weather forecast services with the actual measurements and assess the accuracy of the forescast

Monitoring surface water changes from space at global scale. Also checkout the

LTPy - Learning tool for Python on Atmospheric Composition Data is a Python-based training course on Atmospheric Composition Data. The training course covers modules on data access, handling and processing, visualisation as well as case studies.

Climate Data Science and Earth Observation with

Coda Eumetsat (coda.eumetsat.int) client for downloading data

Material, data and presentations for the COST-EUMETSAT training school

web mapping app to test, tweak and train the land cover classification from a deep neural network model

Geospatial Data Abstract

Earth observation data cubes from GDAL image collections

Conda recipes for remote sensing

A repository of custom scripts to be used with Sentinel Hub

This is an collection of blog posts turned into a course format

A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team

A tutorial for Synthetic Aperture Radar Tomography

FOSS4G UK 2019 Workshop "Geoprocessing with Jupyter Notebooks"

This material is really old and some of it is outdated (not all, though!). One of these days I might get around to putting newer class materials online, but you're stuck with this for now.

This is an collection of blog posts turned into a course format

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others

The Earth Observation Data Downloader (EODataDown) is a tool for automatically downloading and processing EO data to an analysis ready data product. This software forms a core component of a monitoring system based on EO data.