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1 - I converted velocity.h5 (velocity as dataset) to GeoTiff to visualize in QGIS. H5 to GeoTiff Best.pdf
2- In QGIS, there is a plug-in called QuickOSM. to import buildings/railroads/highways with a keys. You can search railways with a key of rail and the location (ex. Broward, Florida).
2- I clipped imported railway vector file by the boundaries of raster and cleaned it. Since it is a vector file, the entire vertices needs to be selected and merged (Edit -> Edit Geometry -> Edit Selected Features). Then we need to buffer lines to save as shapefile (.geojson, .shp etc.)
3- I used Geotiff raster and buffered vector file to create boolean binary mask as .tiff file. Both vector and raster files should be on same crs. (mask.tiff)
4- I used mask.py as shown below and created geo_velocity_tmp.h5, then used view.py to view it with masked geocoded maskTempCoherence file (geo_maskTempCoh.h5);
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1 - I converted velocity.h5 (velocity as dataset) to GeoTiff to visualize in QGIS.
H5 to GeoTiff Best.pdf
2- In QGIS, there is a plug-in called QuickOSM. to import buildings/railroads/highways with a keys. You can search railways with a key of rail and the location (ex. Broward, Florida).
2- I clipped imported railway vector file by the boundaries of raster and cleaned it. Since it is a vector file, the entire vertices needs to be selected and merged (Edit -> Edit Geometry -> Edit Selected Features). Then we need to buffer lines to save as shapefile (.geojson, .shp etc.)
3- I used Geotiff raster and buffered vector file to create boolean binary mask as .tiff file. Both vector and raster files should be on same crs. (mask.tiff)
Creating binary mask.pdf
4- I used mask.py as shown below and created geo_velocity_tmp.h5, then used view.py to view it with masked geocoded maskTempCoherence file (geo_maskTempCoh.h5);
mask.py geo_velocity.h5 -m mask.tif -o geo_velocity_tmp.h5
view.py geo_velocity_tmp.h5 velocity -m geo_maskTempCoh.h5
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