There are 2 repositories under cloud-detection topic.
Stanford sky images and PV power generation dataset for solar forecasting related research and applications
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
Open Satellite Image Cloud Detection Resources (Datasets and Tools)
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
A robust encoder-decoder architecture for cloud detection from satellite remote sensing images
High-Resolution Google Earth Image Cloud Detection Dataset
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/)
Detected cloud in publically available satellite imagery from Sentinal 2 mission. Team project for the CloudNCloud competition hosted by Microsoft AI at DrivenData.
This is the offical implementation for our paper "An effective cloud detection method for GaoFen-5 images via deep learning"
This repository contains code for cloud detection and motion prediction algorithms developed during SIH 2020.
Cloud detection with machine learning using the RGBN bands
Public code for "Precise Forecasting of Sky Images Using Spatial Warping", ICCVW 2021
A follow up demo of my work done for the on-cloud-n competition
Clouds detection in optical satellite images with a variante of k-means algorithm that uses spatial informations.
GF-1 Cloud and Cloud Shadow Detection Dataset
Cloud Type Detection with Segmentation using CNN (Segmentation Models)
Reproducible approach to detect deforestation in near real time by NDVI computation of satellite imagery.