Metadata-Version: 2.1
Name: apertools
Version: 0.4.0
Summary: Tools for gathering and processing InSAR data
Home-page: https://github.com/scottstanie/apertools
Author: Scott Staniewicz
Author-email: scott.stanie@utexas.com
License: UNKNOWN
Description: [![Build Status](https://travis-ci.org/scottstanie/apertools.svg?branch=master)](https://travis-ci.org/scottstanie/apertools)
        
        # Apertools: tools for InSAR (Interferometric Synthetic Aperture Radar)
        
        
        Other helping tools: [sardem](https://github.com/scottstanie/sardem) for creating DEMs from NASA's SRTM, and [sentineleof](https://github.com/scottstanie/sentineleof) for downloading Sentinel 1 EOF precise orbit files.
        
        
        ## Setup and installation
        
        ```bash
        pip install apertools
        ```
        
        
        #### sario.py
        
        Input/Output functions for SAR data.
        Contains methods to load Sentinel, UAVSAR and DEM files
        
        Main function: 
        
        ```python
        import apertools.sario
        my_slc = apertools.sario.load('/file/path/radar.slc')
        geocoded_slc = apertools.sario.load('/file/path/myslc.geo')
        my_int = apertools.sario.load('/file/path/interferogram.int')
        unwrapped_int = apertools.sario.load('/file/path/igram.unw')
        my_dem = apertools.sario.load('/file/path/elevation.dem')
        my_hgt = apertools.sario.load('/file/path/N20W100.hgt')
        ```
        
        #### latlon.py
        Contains LatlonImage class, which loads metadata about an image and acts as a smart numpy array.
        Includes functionality for slicing/selecting pixels by latitude/longitude, among other things.
        
        Also contains helper functions for maniuplating lat/lon data.
        
        #### plotting.py
        Useful plotting functions, including center-shifted colormap (to make 0 values a neutral color), and 3D stack viewing function
        
        
        #### los.py
        Line of sight utilities
        
        
        #### gps.py
        Several functions for using GPS data in conjunction with InSAR stacks
        
        
        #### parsers.py
        
        Classes to deal with extracting relevant data from SAR filenames.
        Example:
        
        ```python
        from apertools.parsers import Sentinel
        
        parser = Sentinel('S1A_IW_SLC__1SDV_20180408T043025_20180408T043053_021371_024C9B_1B70.zip')
        parser.start_time
            datetime.datetime(2018, 4, 8, 4, 30, 25)
        
        parser.mission
            'S1A'
        
        parser.polarization
            'DV'
        parser.full_parse
        ('S1A',
         'IW',
         'SLC',
         '_',
         '1',
         'S',
         'DV',
         '20180408T043025',
         '20180408T043053',
         '021371',
         '024C9B',
         '1B70')
        
        
        parser.field_meanings
        ('Mission',
         'Beam',
         'Product type',
         'Resolution class',
         'Product level',
         'Product class',
         'Polarization',
         'Start datetime',
         'Stop datetime',
         'Orbit number',
         'data-take identified',
         'product unique id')
        
        ```
        
        UAVSAR parser also exists.
        
        
        #### log.py
        
        Module to make logging pretty with times and module names.
        
        If you also `pip install colorlog`, it will become colored (didn't require this in case people like non-color logs.)
        
        ```python
        from apertools.log import get_log
        logger = get_log()
        logger.info("Better than printing")
        ```
        
        ```
        [05/29 16:28:19] [INFO log.py] Better than printing
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: C
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
