This repository includes some methods for analyzing and post-processing on Synthetic Aperature Radar (SAR) imagery. SAR is a sensor that sends and receives microwave signals. Some of this data is publically available, but pre-processing software is needed to create digital images that a user can interpret. So far, the methods in this repository have been tested with Sentinel-1 data processed with ISCE and ESA's Sentinel-1 Toolbox.
The methods in this repository include:
- ARIA method from JPL1
- Thresholding based off of a bimodal distribution (generally used for water detection)2
- Unsupervised clustering using ISODATA3
Please visit the notebooks folder for some examples of processing!
- Python 3.8
- Run
pip install -r requirements.txt
1Yun, S. H., Fielding, E., Simons, M., Agram, P., Rosen, P., Owen, S., & Webb, F. (2012). Rapid and reliable damage proxy map from InSAR coherence.
2Cao, H., Zhang, H., Wang, C., & Zhang, B. (2019). Operational flood detection using Sentinel-1 SAR data over large areas. Water, 11(4), 786.
3Uddin, K., Matin, M. A., & Meyer, F. J. (2019). Operational flood mapping using multi-temporal sentinel-1 SAR images: a case study from Bangladesh. Remote Sensing, 11(13), 1581.