pygeotools 0.1.3

# pygeotools Libraries and utilities for geospatial data processing/analysis

## Overview

## Features - quickly resample rasters to common resolution/extent/projection - various functions for NumPy masked arrays - simple coordinate transformations - automatic projection determination

### pygeotools/lib - libraries containing many useful functions - geolib - coordinate transformations, raster to vector, vector to raster - malib - NumPy Masked Array operations, DEMStack class - warplib - on-the-fly GDAL warp operations - iolib - file input/output, primarily wrappers for GDAL I/O, write out masked arrays - timelib - time conversions, useful for raster time series analysis - filtlib - raster filtering

### pygeotools/bin

Useful command-line utilities - warptool.py - make_stack.py - ndvtrim.py - apply_mask.py - …

## Examples

### Warping multiple datasets to common grid and computing difference ` from pygeotools.lib import iolib, warplib, malib fn1 = 'raster1.tif' fn2 = 'raster2.tif' ds_list = warplib.memwarp_multi_fn([fn1, fn2], res='max', extent='intersection', t_srs='first', r='cubic') r1 = iolib.ds_getma(ds_list[0]) r2 = iolib.ds_getma(ds_list[1]) rdiff = r1 - r2 malib.print_stats(rdiff) out_fn = 'raster_diff.tif' iolib.writeGTiff(rdiff, out_fn, ds_list[0]) ` or, from the command line:

warptool.py -tr ‘max’ -te ‘intersection’ -t_srs ‘first’ raster1.tif raster2.tif

### Creating a nDarray “stack” object: ` from pygeotools.lib import malib fn_list = ['20080101_dem.tif', '20090101_dem.tif', '20100101_dem.tif'] s = malib.DEMStack(fn_list, res='min', extent='union') #Stack standard deviation s.stack_std #Stack linear trend s.stack_trend ` or, from the command line:

make_stack.py -tr ‘min’ -te ‘union’ 20*.tif

## Documentation

Is in the works…

## Installation

Install the latest release from PyPI:

pip install pygeotools

Note: by default, this will place some executable scripts to /usr/local/bin

### Building from source

Clone the repository and install:

git clone https://github.com/dshean/pygeotools.git pip install pygeotools/

### Core requirements - [GDAL/OGR](http://www.gdal.org/) - [NumPy](http://www.numpy.org/)

### Optional requirements (needed for some functionality) - [matplotlib](http://matplotlib.org/) - [SciPy](https://www.scipy.org/) - [NASA Ames Stereo Pipeline (ASP)](https://ti.arc.nasa.gov/tech/asr/intelligent-robotics/ngt/stereo/)

## Disclaimer

This originated as a poorly-written, poorly-organized personal repo that I am finally cleaning up and distributing. There are some things that work very well, and other things that were hastily written for a one-off task several years ago.

This was all originally developed for Python 2.X, but should now work with Python 3.X thanks to [@dlilien](https://github.com/dlilien)

## License

This project is licensed under the terms of the MIT License.