GitHub - GERSL/Fmask: The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.
![Remote Sensing | Free Full-Text | Comparison of Cloud Cover Detection Algorithms on Sentinel–2 Images of the Amazon Tropical Forest | HTML Remote Sensing | Free Full-Text | Comparison of Cloud Cover Detection Algorithms on Sentinel–2 Images of the Amazon Tropical Forest | HTML](https://www.mdpi.com/remotesensing/remotesensing-12-01284/article_deploy/html/images/remotesensing-12-01284-ag.png)
Remote Sensing | Free Full-Text | Comparison of Cloud Cover Detection Algorithms on Sentinel–2 Images of the Amazon Tropical Forest | HTML
![Illustration of Landsat-8 OLI cloud mask omission for a 500×800pixel... | Download Scientific Diagram Illustration of Landsat-8 OLI cloud mask omission for a 500×800pixel... | Download Scientific Diagram](https://www.researchgate.net/profile/Hankui-Zhang/publication/290476903/figure/fig7/AS:318343945965588@1452910519957/Illustration-of-Landsat-8-OLI-cloud-mask-omission-for-a-500800pixel-subset-of-an-OLI.png)
Illustration of Landsat-8 OLI cloud mask omission for a 500×800pixel... | Download Scientific Diagram
![CloudMasking | CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7 and 8) products using different process such CloudMasking | CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7 and 8) products using different process such](https://smbyc.github.io/CloudMasking/img/how_to_use_04.png)
CloudMasking | CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7 and 8) products using different process such
![Cloud Masking for Landsat 8 and MODIS Terra Over Snow‐Covered Terrain: Error Analysis and Spectral Similarity Between Snow and Cloud - Stillinger - 2019 - Water Resources Research - Wiley Online Library Cloud Masking for Landsat 8 and MODIS Terra Over Snow‐Covered Terrain: Error Analysis and Spectral Similarity Between Snow and Cloud - Stillinger - 2019 - Water Resources Research - Wiley Online Library](https://agupubs.onlinelibrary.wiley.com/cms/asset/f379033f-4248-4cb7-9d28-c333fe13019f/wrcr24096-fig-0002-m.jpg)
Cloud Masking for Landsat 8 and MODIS Terra Over Snow‐Covered Terrain: Error Analysis and Spectral Similarity Between Snow and Cloud - Stillinger - 2019 - Water Resources Research - Wiley Online Library
![Remote Sensing | Free Full-Text | Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure | HTML Remote Sensing | Free Full-Text | Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure | HTML](https://www.mdpi.com/remotesensing/remotesensing-11-00433/article_deploy/html/images/remotesensing-11-00433-g004.png)
Remote Sensing | Free Full-Text | Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure | HTML
![CloudMasking | CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7 and 8) products using different process such CloudMasking | CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7 and 8) products using different process such](https://smbyc.github.io/CloudMasking/img/filters_layers_L8.png)
CloudMasking | CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7 and 8) products using different process such
![Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects - ScienceDirect Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0034425718302037-gr4.jpg)
Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects - ScienceDirect
![Example of gap-filling cloudy regions in a Landsat 8 ET image for DOY... | Download Scientific Diagram Example of gap-filling cloudy regions in a Landsat 8 ET image for DOY... | Download Scientific Diagram](https://www.researchgate.net/publication/313834130/figure/fig4/AS:463150760894464@1487435154191/Example-of-gap-filling-cloudy-regions-in-a-Landsat-8-ET-image-for-DOY-200-The-left-image.png)
Example of gap-filling cloudy regions in a Landsat 8 ET image for DOY... | Download Scientific Diagram
![Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery - ScienceDirect Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0034425719302172-gr1.jpg)
Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery - ScienceDirect
![python - Cloud mask algorithms for Sentinel-2 Level-2A data - Geographic Information Systems Stack Exchange python - Cloud mask algorithms for Sentinel-2 Level-2A data - Geographic Information Systems Stack Exchange](https://i.stack.imgur.com/tDebI.jpg)
python - Cloud mask algorithms for Sentinel-2 Level-2A data - Geographic Information Systems Stack Exchange
![Remote Sensing | Free Full-Text | Automated Cloud and Cloud-Shadow Masking for Landsat 8 Using Multitemporal Images in a Variety of Environments | HTML Remote Sensing | Free Full-Text | Automated Cloud and Cloud-Shadow Masking for Landsat 8 Using Multitemporal Images in a Variety of Environments | HTML](https://www.mdpi.com/remotesensing/remotesensing-11-02060/article_deploy/html/images/remotesensing-11-02060-g009.png)
Remote Sensing | Free Full-Text | Automated Cloud and Cloud-Shadow Masking for Landsat 8 Using Multitemporal Images in a Variety of Environments | HTML
![New paper ! An active learning cloud detection tool to generate reference cloud masks for Sentinel-2. Application to the validation of MAJA, Sen2cor and FMask cloud masks – Séries Temporelles New paper ! An active learning cloud detection tool to generate reference cloud masks for Sentinel-2. Application to the validation of MAJA, Sen2cor and FMask cloud masks – Séries Temporelles](https://labo.obs-mip.fr/wp-content-labo/uploads/sites/19/2019/02/graphical_abstract.png)
New paper ! An active learning cloud detection tool to generate reference cloud masks for Sentinel-2. Application to the validation of MAJA, Sen2cor and FMask cloud masks – Séries Temporelles
![TSmask: Time series cloud and cloud shadow detection for Sentinel-2 — Digital Earth Australia 1.0.0 documentation TSmask: Time series cloud and cloud shadow detection for Sentinel-2 — Digital Earth Australia 1.0.0 documentation](https://docs.dea.ga.gov.au/_images/notebooks_Scientific_workflows_TSmask_TSmask_26_1.png)
TSmask: Time series cloud and cloud shadow detection for Sentinel-2 — Digital Earth Australia 1.0.0 documentation
![Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery - ScienceDirect Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0034425719302172-gr17ac.jpg)
Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery - ScienceDirect
![Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects - ScienceDirect Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0034425718302037-gr3.jpg)