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.

Stanford sky images and PV power generation dataset for solar forecasting related research and applications

Open Satellite Image Cloud Detection Resources (Datasets and Tools)

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

CloudGAN: Detecting and removing clouds from satellite RGB-images

Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery

High-Resolution Cloud Detection Network

High-Resolution Google Earth Image Cloud Detection Dataset

A robust encoder-decoder architecture for cloud detection from satellite remote sensing images

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/)

This repository contains code for cloud detection and motion prediction algorithms developed during SIH 2020.

This is the offical implementation for our paper "An effective cloud detection method for GaoFen-5 images via deep learning"

A follow up demo of my work done for the on-cloud-n competition

Detecting daytime clouds in the arctic 🌨

Gaofen-1 Cloud and Cloud Shadow Detection Dataset

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

Cloud detection with machine learning using the RGBN bands