albhasan/clouds

Comparison of cloud algorithms on Sentinel-2 images.

Clouds

Comparison of cloud algorithms on Sentinel-2 images.

Algorithms

fmask4

* code https://github.com/gersl/fmask
* description doi.org/10.1016/j.rse.2019.05.024
* run: container in  scidb@e-sensing6

maja

* description https://www.mdpi.com/2072-4292/7/3/2668
* run: use sen2agri instances on e-sensing6

s2cloudless

* desciption https://medium.com/sentinel-hub/improving-cloud-detection-with-machine-learning-c09dc5d7cf13
* run: sdb-desktop installation with Sarah's script

sen2cor

* description https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10427/2278218/Sen2Cor-for-Sentinel-2/10.1117/12.2278218.full 
* run: Renana ran it

Notes on running.

Fmask 4

• use the docker container in e-sensing6: sudo docker run -it -v /home/alber/Documents/data/experiments/prodes_reproduction/papers/clouds/data/fmask4_s2cloudless:/root/images fmask:4.0 /bin/bash
• Call the script call_fmask.sh from inside the docker container.

MAJA

• Copy the processed images from sen2agri's docker (instance running on e-sensing6).
• NOTE:
  • Images from tile 19LFK are in the sen2agri_1's directory.
  • 21LXH and 22MCA are in the sen2agri_2's directory.
• Copy the processed images using the script copy_maja_images.sh

S2CLOUDLESS

• Run it from sdb-desktop
• Mount files
• Use script create_s2cloudless_mask.py*
• Mount remote directory of images locally to run the algorithm sshfs [email protected]:/net/150.163.2.206/disks/d6/shared/alber/prodes_reproduction/papers/clouds/data/fmask4 /home/alber/Documents/ghProjects/sentinel2-cloud-detector/alber_test/images

SEN2COR

• Ask Renan Marujo to run on it on the images.
• ALTERNATIVE: Use https://github.com/lvhengani/sen2cor_docker.git but adapted to sen2cor 2.8.0 (which is running at sdb-desktop)