Stanford sky images and PV power generation dataset for solar forecasting related research and applications
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.
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 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"
Gaofen-1 Cloud and Cloud Shadow Detection Dataset
A follow up demo of my work done for the on-cloud-n competition
Public code for "Precise Forecasting of Sky Images Using Spatial Warping", ICCVW 2021
Cloud detection with machine learning using the RGBN bands
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