PySAR
Time series analysis tool
Analyzes Interferometric Synthetic Aperture Radar time series data to estimate ground surface displacement
InSAR (Interferometric Synthetic Aperture Radar) timeseries analysis in python
46 stars
2 watching
14 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
geoscienceaustralia/pyrate | Estimates velocity and time-series from InSAR data | 204 |
insarlab/mintpy | Software for analyzing InSAR time-series data from radar images to extract ground surface displacement information | 613 |
johannfaouzi/pyts | A Python package for time series classification and analysis | 1,772 |
insarlab/pyaps | A Python module that estimates differential phase delay maps from atmospheric data to correct radar interferograms. | 64 |
alexeypechnikov/pygmtsar | Software for processing satellite interferometry data from Sentinel-1 satellites | 430 |
yumorishita/licsbas | Analyzes InSAR time series data to track surface deformation over time. | 234 |
adbedada/ts-raster | Extracts and analyzes time-series characteristics from raster data using Python. | 4 |
pyrocko/kite | Software for processing InSAR surface displacement data in support of earthquake modeling | 79 |
manondls/kfts-insar | A software package for iteratively analyzing time series data from InSAR (Interferometric Synthetic Aperture Radar) images | 55 |
rafa-rod/pytrendseries | A Python library for detecting trends in time series data and analyzing their characteristics. | 126 |
tuw-geo/pytesmo | A Python toolbox for comparing and validating geospatial time series datasets with an initial focus on soil moisture observations. | 78 |
shawshank-smile/pytsda-tdengine | An end-to-end time series data analysis system with integrated machine learning and deep learning capabilities | 23 |
arm-doe/pyart | An interactive toolkit for working with weather radar data using Python and atmospheric radar algorithms | 517 |
rjt1990/pydata2016-sanfrancisco | An analysis of time series methods using PyFlux library and incorporating NFL prediction model. | 23 |
fzj-iek3-vsa/tsam | A Python package for aggregating and analyzing time series data to accelerate model runs | 148 |