diff --git a/README.md b/README.md index c368e3e..19aeb7b 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ MintPy-tutorials contains the documentations for the [MintPy repo](https://githu 1. Small baseline time series analysis with `smallbaselineApp`. This notebook walks through the various processing steps of InSAR time series analysis using MintPy. - ISCE/topsStack + MintPy (Sentinel-1 on Fernandina, Galápagos): [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/smallbaselineApp.ipynb) - - ARIA + MintPy (Sentinel-1 on San Francisco): [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/smallbaselineApp_aria.ipynb) + - ARIA + MintPy (Sentinel-1 on San Francisco Bay): [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/smallbaselineApp_aria.ipynb) [[video](https://youtu.be/lRFDSsi8ZcY?t=10933)] 2. Visualizations @@ -30,9 +30,8 @@ MintPy-tutorials contains the documentations for the [MintPy repo](https://githu 4. Custom applications. List of examples of how to build customized application using mintpy modules or to build processing recipe using mintpy scripts. - - Calculate multilook number for InSAR processing with ISCE: [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/applications/calc_multilook_number.ipynb) - Create water mask in radar coordinates: [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/applications/water_mask.ipynb) - - Tropospheric delay correction using GACOS products: [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/applications/tropo_gacos.ipynb) + - Calculate multilook number for InSAR processing with ISCE: [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/applications/calc_multilook_number.ipynb) - Post-processing of single interferogram after ISCE/stripmapApp: [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/applications/stripmapApp_postProc.ipynb) - Geo / radar coordinates conversion: [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/applications/coord_conversion.ipynb) - Plot GPS as quiver on top of InSAR data: [nbviewer](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/applications/plot_gps_quiver.ipynb) @@ -42,15 +41,15 @@ MintPy-tutorials contains the documentations for the [MintPy repo](https://githu 1. Single interferogram processing with [ISCE2](https://github.com/isce-framework/isce2-docs/tree/master/Notebooks) - - Sentinel-1 TOPS mode SAR data with [topsApp](https://nbviewer.jupyter.org/github/isce-framework/isce2-docs/blob/master/Notebooks/UNAVCO_2020/TOPS/topsApp.ipynb) - - StripMap mode SAR data with [stripmapApp](https://nbviewer.jupyter.org/github/isce-framework/isce2-docs/blob/master/Notebooks/UNAVCO_2020/Stripmap/stripmapApp.ipynb) + - Sentinel-1 TOPS mode SAR data with [topsApp](https://nbviewer.jupyter.org/github/isce-framework/isce2-docs/blob/master/Notebooks/UNAVCO_2020/TOPS/topsApp.ipynb) [[video](https://youtu.be/V0CFy0i1L80?t=5509)] + - StripMap mode SAR data with [stripmapApp](https://nbviewer.jupyter.org/github/isce-framework/isce2-docs/blob/master/Notebooks/UNAVCO_2020/Stripmap/stripmapApp.ipynb) [[video](https://youtu.be/Q8sqCN4qfE4?t=7370)] -2. Stack of interferograms processing with [ISCE2 stack processors](https://github.com/isce-framework/isce2/blob/main/contrib/stack/README.md) +2. Stack of interferograms processing with [ISCE2 stack processors](https://github.com/isce-framework/isce2/blob/main/contrib/stack/README.md) [[video](https://youtu.be/oc_rMjICnyI?t=1396)] - Sentinel-1 TOPS mode SAR data with [topsStack](https://github.com/isce-framework/isce2/blob/main/contrib/stack/topsStack/README.md) - StripMap mode SAR data with [stripmapStack](https://github.com/isce-framework/isce2/blob/main/contrib/stack/stripmapStack/README.md) -3. Manipulate ARIA standard InSAR products with [ARIA-tools](https://github.com/aria-tools/ARIA-tools-docs) +3. Manipulate ARIA standard InSAR products with [ARIA-tools](https://github.com/aria-tools/ARIA-tools-docs) [[video](https://youtu.be/lRFDSsi8ZcY)] - Downloading GUNW products using [ariaDownload](https://nbviewer.jupyter.org/github/aria-tools/ARIA-tools-docs/blob/master/JupyterDocs/ariaDownload/ariaDownload_tutorial.ipynb) - Preparing GUNW products for time series analysis using [ariaTSsetup](https://nbviewer.jupyter.org/github/aria-tools/ARIA-tools-docs/blob/master/JupyterDocs/ariaTSsetup/ariaTSsetup_tutorial.ipynb)