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

Detecting daytime clouds in the arctic 🌨

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

Cloud segmentation and detection with focus on interpretibility.

Gaofen-1 Cloud and Cloud Shadow Detection Dataset

Repository for the code of my Bachelor's thesis

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

Cloud Detection on Satellites Using Deep Learning

High-Resolution Cloud Detection Network

High-Resolution Google Earth Image Cloud Detection Dataset

Open Satellite Image Cloud Detection Resources (Datasets and Tools)

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

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)

Cloud detection with machine learning using the RGBN bands

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

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

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

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.