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

Cloud Type Detection with Segmentation using CNN (Segmentation Models)

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

Detecting daytime clouds in the arctic 🌨

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

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

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

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.

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

The definitive Python implementation of FMask 4.3 for Landsat 8 and Sentinel 2

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

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

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

Cloud detection with machine learning using the RGBN bands

CloudGAN: Detecting and removing clouds from satellite RGB-images

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

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

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

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

Gaofen-1 Cloud and Cloud Shadow Detection Dataset