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.

Leiguo924/imview