Level-2A processor used for atmospheric correction and cloud-detection. The active repository is the one below, this one is kept to leave access to the older issues.

OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.

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

To download products provided by Theia land data center : https://theia.cnes.fr

High-Resolution Cloud Detection Network

High-Resolution Google Earth Image Cloud Detection Dataset

Detected cloud in publically available satellite imagery from Sentinal 2 mission. Team project for the CloudNCloud competition hosted by Microsoft AI at DrivenData.

classification of satellite images using convolutional neural networks with Python and Keras

Cloud Detection Model for Sentinel-2 Imagery (see https://registry.opendata.aws/sentinel-2/)

Gaofen-1 Cloud and Cloud Shadow Detection Dataset

Public code for "Precise Forecasting of Sky Images Using Spatial Warping", ICCVW 2021

Detecting daytime clouds in the arctic 🌨

Cloud detection with machine learning using the RGBN bands

Clouds detection in optical satellite images with a variante of k-means algorithm that uses spatial informations.

Repository for the code of my Bachelor's thesis

Reproducible approach to detect deforestation in near real time by NDVI computation of satellite imagery.

Notes, demos, and certificate from the "AWS Security Incident Response Overview" course on AWS Skill Builder.

Cloud segmentation and detection with focus on interpretibility.

Multi-Feature Combined Cloud and Cloud Shadow Detection

Deep Learning Based Cloud Detection for Images of Different Sensors