OVERVIEW
The SICASM project has developed a collection of command-line programs, written in the Python programming language, to create cloud and cloud-shadow masks for cloudy satellite images. The initial focus has been on SPOT-5 HRG satellite imagery, but images from other sensors, such as Landsat TM/ETM+, have also been examined. The code is distributed in the hope that it will be useful, but without any warranty or support. If you have found a bug, or are interested in collaborating on improvements, please contact Adrian Fisher.
The first phase of the project developed two interim programs, which produce masks and facilitate manual editing:
- cloudmask.py - A simple program for producing and editing cloud masks.
- shadowmask.py - For producing cloud-shadow masks on images previously processed with cloudmask.py.
The second phase developed a program that prodcues masks that require far less editing:
- spotCASM.py - Automated production of cloud and cloud-shadow masks for SPOT-5 HRG imagery.
ACKNOWLEDGEMENTS
This project was funded by the New South Wales Office of Environment and Heritage (OEH) and the Queensland Department of Environment and Resource Management (DERM), through the Joint Remote Sensing Research Program at the University of Queensland (UQ). The research was conducted by Adrian Fisher (UQ/UNSW) with some much needed help from Neil Flood (DERM) and Arndt Meier (OEH).