Image viewers for geospatial data
This repo contains several utilities that I use on a daily basis for rapid data preview, detailed analysis, and figure generation. The imviewer.py tool is probably the most useful. It works well, but could use a rewrite, as it has been glommed together over the span of 4-5 years.
- imviewer - viewer for geospatial data, overlay capabilities
- stack_view - viewer for "stack.npz" time series output (see pygeotools), allowing for point sampling and plotting
- iv - lightweight viewer for standard images (jpg, png, etc.)
- review_img - lightweight viewer to identify good and bad images
- lib/pltlib - a collection of useful functions for matplotlib plotting, including drawing vector data over raster data
mos_fn=BigDEM.tif
gdaldem hillshade $mos_fn ${mos_fn}_hs_az315.tif
gdaladdo -ro -r average --config COMPRESS_OVERVIEW LZW --config BIGTIFF_OVERVIEW YES $mos_fn 2 4 8 16 32 64
gdaladdo -ro -r average --config COMPRESS_OVERVIEW LZW --config BIGTIFF_OVERVIEW YES ${mos_fn}_hs_az315.tif 2 4 8 16 32 64
imviewer.py $mos_fn -overlay ${mos_fn}_hs_az315.tif -label 'Elevation (m WGS84)'
- By default, this will quickly load a low-resolution preview (specify -full to load full-res image)
- Lower right corner shows coordinates and value under cursor
- Left-click to sample image coordinates, map coordinates and raster value
- Can specify transparency with
-alpha 0.5
imviewer.py -cmap 'RdYlBl' -clim -5 5 dem_dz_eul.tif -label 'Elevation difference (m)'
imviewer.py -link dem.tif image.tif velocity.tif
imviewer.py $mos_fn -overlay ${mos_fn}_hs_az315.tif -shp polyline.shp
imviewer.py $mos_fn -overlay ${mos_fn}_hs_az315.tif -scale x -label 'Elevation (m WGS84)' -of png -dpi 300
make_stack.py -tr 'mean' -te 'intersection' 20080101_dem.tif 20090101_dem.tif 20100101_dem.tif
stack_view.py 20080101_dem_20100101_dem_stack_3.npz
- Left-click to extract time series at point on any of the context maps
- Right-click to clear all points
- Can zoom and pan on context maps
Install the latest release from PyPI:
pip install imview
Note: by default, this will deploy executable scripts in /usr/local/bin
Clone the repository and install:
git clone https://github.com/dshean/imview.git
pip install -e imview
The -e flag ("editable mode", setuptools "develop mode") will allow you to modify source code and immediately see changes.
This project is licensed under the terms of the MIT License.