Open-source alternatives to Getting Data

ee-fastapi: Flood Detection System

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

Check our Breizhcrops Tutorial Colab Notebook for quick hands-on examples.

ServiceNow completed its acquisition of Element AI on January 8, 2021. All references to Element AI in the materials that are part of this project should refer to ServiceNow.

A curated list of awesome tools, tutorials and APIs related to data from the Copernicus Sentinel Satellites.

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

Auto-updating Landsat 8 mosaics from AWS SNS notifications.

Create Cloud Optimized GeoTIFF mosaics from AWS Public datasets.

Microsoft Maps is releasing country wide open building footprints datasets in United States. This dataset contains 129,591,852 computer generated building footprints derived using our computer vision algorithms on satellite imagery. This data is freely available for download and use.

Code for 3rd place solution in Kaggle Understanding Clouds from Satellite Images Challenge.

OpenDroneMap (ODM) is an open-source aerial drone photogrammetry pipeline that converts 2D images into georeferenced 3D models, orthophotos, point clouds, and digital elevation maps. At its core, the OpenDroneMap Processing Engine orchestrates a complete Structure-from-Motion workflow, from feature extraction through dense reconstruction and tiled output generation, purpose-built for transforming drone-captured imagery into geospatial data products. The toolkit distinguishes itself through GPU-accelerated SIFT feature extraction using CUDA-capable NVIDIA graphics cards, roughly doubling proce

Please see https://gallery.pangeo.io/ for more up-to-date content

An awesome list of all (1.958) available Google Earth Engine Apps and user-specific App Galleries. No Earth Engine account is required to view or interact with a published App.

Jupyter Notebooks and assciated documents for working with Sentinel-5P Level 2 data stored in the AWS S3 bucket S3://meeo-s5p

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

This repository has two python packages, geoTools and evalTools. The geoTools packages is intended to assist in the preprocessing of SpaceNet satellite imagery data corpus hosted on SpaceNet on AWS to a format that is consumable by machine learning algorithms. The evalTools package is used to…

Overview about state-of-the-art land-use classification from satellite data with CNNs based on an open dataset