Mintpy

+ Rename PySAR to MintPy (Miami INsar Time-series software in PYthon)
+ Rename `pysarApp.py` to `smallbaselineApp.py`
+ Update file/dir structure to be all in the small case

Contributor

+ Zhang Yunjun

Technical improvements

+ expose `pysar.troposphericDelay.minCorrelation` by Lei Xie
+ `pysarApp.py -v` to include the version number and release date for every commit
+ bugs fix

Contributors

+ Zhang Yunjun
+ Lei Xie
+ Bhuvan Varugu

New features

+ `ISCE/stripmapStack` products support
+ `ERA-5` tropospheric delay correction from [pyaps3](https://github.com/AngeliqueBenoit/pyaps3) through `tropo_pyaps3.py`
+ PU error corrections:
- solve for phase closure using L1-norm regularized least squares estimation via `cpxopt`
- region-wised (efficient) operation using connected components
+ parallel processing in `ifgram_inversion.py` via [Dask](https://www.dask.org) contributed by David Grossman
+ `save_kmz_timeseries.py` for the interactive Google Earth time-series via [dygraphs](http://dygraphs.com) contributed by Joshua Zahner
+ `plot_coherence_matrix.py` for pixel-wised coherence matrix (interactive)

Technical improvements

+ `docs/tutorials` for pysarApp workflow and other tutorials in Jupyter Notebook
+ `docs/paper` for Figures in Yunjun et al., 2019 in Jupyter Notebook
+ `pysarApp.py --start/end/dostep` via the `TimeSeriesAnalysis` class
+ Dynamic modules import in `mintpy.workflow`
+ `WellsEnvD2T399` example dataset for `GAMMA` processed by Sang-Hoon Hong.
+ `FernandinaSenDT128` example dataset for `ISCE/topsStack`
+ More examples in `docs/examples/applications`
+ Bugs fix

Contributors

+ Zhang Yunjun
+ Joshua Zahner
+ David Grossman
+ Heresh Fattahi
+ Sang-Hoon Hong
+ Lei Xie
+ Falk Amelung
+ Sara Mirzaee

The first released version in Python3.

New features

+ `ISCE-2/topsStack` and `GIAnT` products support
+ time-series estimation:
- weighted inversion with min-norm phase velocity
- masking based on coherence/connected components on the fly
- redundancy check for individual acquisition
- split chunks for fewer memory requirements
+ GPS data download/reading/plotting support
+ automatic PU error correction with bridging
+ automatic outlier detection based on residual phase RMS using Median Absolute Deviation.

Technical improvement

+ 3D HDF5 matrix IO w/o compression to replace the previous 2D IO w compression (significant speedup)
+ `pyresample` for geocoding with the features below to replace `scipy.interpolate`:
- 3D matrix operation
- radar2geo and geo2radar
- parallel processing using multiple cores
+ new HDF5 file structures with a class definition for:
- timeseries
- interferogram stacks
- geometry
+ new code structure with subfolders / submodules:
- `pysar/objects/` for all scripts defining objects/classes
- `pysar/simulation/` for scripts to simulate decorrelation noise, tropospheric delay.
- `pysar/defaults/` for all default settings files/scripts
- `pysar/utils/` for all utilities scripts
- `pysar/legacy/` for obsolete scripts
+ systematic file reading/writing via the `slice-based data identification` via `read/writefile.py`.
+ faster/advanced visualization scripts with improved default setting
+ MACRO_CASE for all metadata (original names are still kept)
+ snake_case for all script names

Contributors

+ Zhang Yunjun
+ Heresh Fattahi
+ Alfredo Terreco
+ Joshua Zahner
+ Falk Amelung

The last released version with Python2 support.

New features

+ `ISCE2/topsStack` product support
+ `GIAnT` product displaying
+ geocoded InSAR stack support
+ `weighted network inversion` in `ifgram_inversion.py`
+ step functions and generic polynomial functions topographic residual correction via `dem_error.py`
+ HDF-EOS5 format for the generic time-series product to replace UNAVCO InSAR Archive format

Technical improvements

+ tutorial from Nov 2017 workshop in Miami
+ GACOS tropospheric delay correction (preliminary) via `tropo_gacos.py` contributed by Bhuvan Varugu.
+ new geometryRadar/Geo.h5 files for geometry datasets, e.g. dem, incidence angle, etc.

Contributors

+ Zhang Yunjun
+ Joshua Zahner
+ Emre Havazli
+ Bhuvan Varugu
+ Falk Amelung
+ Alfredo Terreco
+ David Grossman

New features

+ `GAMMA` product support with contribution from Yunmeng Cao
+ coherence-based network modification
+ referencing in space / network modification on the fly during network inversion
+ automatic referencing in time
+ automatic turbulence detection based on residual phase RMS using standard deviation

Technical improvements

+ `pysarApp_template.txt` as the full options list for `pysarApp.py`
+ more generalized `load_data.py`
+ new progress bar
+ new time-series viewer python script via `tsview.py`
+ improved visualizations
+ bugs fix

Contributors

+ Zhang Yunjun
+ Alfredo Terreco
+ Yunmeng Cao
+ Heresh Fattahi
+ Falk Amelung