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The displacement time-series result can be exported as a QGIS-compatible format for visualization via the **InSAR Explorer** plugin or the **PS Time Series Viewer** plugin.
### 1. QGIS with [InSAR Explorer](https://insar-explorer.readthedocs.io/) ###
The InSAR Explorer plugin supports both the GRD format and the shapefile format.
#### a. Setup ####
1. Download and install [QGIS](https://qgis.org/en/site/) if you have not done so.
2. Install the plugin:
- Install within QGIS via "Plugins -> Manage and Install Plugins", then search for "InSAR Explorer".
- Alternatively, download the plugin as a *.zip file from [the plugin page](https://plugins.qgis.org/plugins/insar_explorer-dev/), and install it through "Plugins -> Manage and Install Plugins -> Install from ZIP".
3. Launch the plugin: Access it from the toolbar or through "Plugins -> InSAR Explorer -> InSAR Explorer".
#### b. Usage for GRD files ####
1. Export MintPy results to GRD files using `save_explorer.py`:
```bash
save_explorer.py geo_timeseries.h5 -v geo_velocity.h5 -o geo_maskTempCoh.h5 -o timeseries/
```
2. Load data in QGIS: Open one of the exported GRD files, e.g., `geo_velocity_mm.h5`, in QGIS.
3. Launch InSAR Explorer and click on any point to plot the time series.
<p align="left">
<a href="https://insarlab.github.io/figs/docs/mintpy/QGIS-InSAR-Explorer-point.png">
https://insarlab.github.io/figs/docs/mintpy/QGIS-InSAR-Explorer-point.png
</a>
</p>
#### c. Using shapefile ###
1. Export MintPy results to a shapefile using `save_qgis.py`:
```bash
save_qgis.py timeseries_ERA5_ramp_demErr.h5 -g inputs/geometryRadar.h5
save_qgis.py geo/geo_timeseries_ERA5_ramp_demErr.h5 -g geo/geo_geometryRadar.h5
```
2. Load data in QGIS: Browse to the *.shp file generated by `save_qgis.py` and add it to the layer. Then open "View -> Panels -> Layer Styling", and on the right choose "Fill color -> Edit" and add the command below to color-code the map based on velocity value.
```
ramp_color('RdBu', scale_linear(VEL, -20, 20, 0, 1))
```
<p align="left"><a href="https://insarlab.github.io/figs/docs/mintpy/QGIS-PS-TSV-map.png">
https://insarlab.github.io/figs/docs/mintpy/QGIS-PS-TSV-map.png</a>
</p>
3. Launch InSAR Explorer and click on any point to plot the time series.
<p align="left">
<a href="https://insarlab.github.io/figs/docs/mintpy/QGIS-InSAR-Explorer-point.png">
https://insarlab.github.io/figs/docs/mintpy/QGIS-InSAR-Explorer-point.png
</a>
</p>
### d. More information ###
For more details on using the plugin, please refer to the [InSAR Explorer documentation](https://insar-explorer.readthedocs.io/).
### 2. QGIS with [PS Time Series Viewer](https://plugins.qgis.org/plugins/pstimeseries/)
The PS Time Series Viewer plugin supports the shapefile format only.
#### a. Setup
1. Download and install [QGIS](https://qgis.org/en/site/) if you have not done so.
2. Install the plugin:
- Install within QGIS via "Plugins -> Manage and Install Plugins", then search "PS Time Series Viewer".
- Alternatively, download the plugin as a *.zip file from [the plugin page](https://plugins.qgis.org/plugins/pstimeseries/), and install it through “Plugins -> Manage and Install Plugins -> Install from ZIP”.
#### b. Usage
1. Export MintPy results to shapefiles using `save_qgis.py`:
```bash
save_qgis.py timeseries_ERA5_ramp_demErr.h5 -g inputs/geometryRadar.h5
save_qgis.py geo/geo_timeseries_ERA5_ramp_demErr.h5 -g geo/geo_geometryRadar.h5
```
2. Load data in QGIS: Browse to the *.shp file generated by `save_qgis.py` and add it to the layer. Then open "View -> Panels -> Layer Styling", and on the right choose "Fill color -> Edit" and add the command below to color-code the map based on velocity value.
```
ramp_color('RdBu', scale_linear(VEL, -20, 20, 0, 1))
```
<p align="left">
<a href="https://insarlab.github.io/figs/docs/mintpy/QGIS-PS-TSV-map.png">
https://insarlab.github.io/figs/docs/mintpy/QGIS-PS-TSV-map.png
</a>
</p>
3. Launch PS Time Series Viewer: Access it from the toolbar or through “Plugins -> Permanent Scatterers -> PS Time Series Viewer”.
<p align="left"><a href="https://insarlab.github.io/figs/docs/mintpy/QGIS-PS-TSV-point.png">
https://insarlab.github.io/figs/docs/mintpy/QGIS-PS-TSV-point.png</a>
</p>
|
