imview
Image viewers for geospatial data
Overview
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.
Viewers
- 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
Modules
- lib/pltlib - a collection of useful functions for matplotlib plotting, including drawing vector data over raster data
Command-line Examples
Preprocessing (optional):
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
View color DEM overlaid on shaded relief map:
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
View with user-defined color map and limits
imviewer.py -cmap 'RdYlBl' -clim -5 5 dem_dz_eul.tif -label 'Elevation difference (m)'
Link several images (allows for simultaneous zoom and pan):
imviewer.py -link dem.tif image.tif velocity.tif
View polyline shapefile overlay:
imviewer.py $mos_fn -overlay ${mos_fn}_hs_az315.tif -shp polyline.shp
Output high-quality figure with scalebar:
imviewer.py $mos_fn -overlay ${mos_fn}_hs_az315.tif -scale x -label 'Elevation (m WGS84)' -of png -dpi 300
View time series stack:
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
Installation
Install the latest release from PyPI:
pip install imview
Note: by default, this will deploy executable scripts in /usr/local/bin
Building from source
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.
Core requirements
License
This project is licensed under the terms of the MIT License.
