Skip to content

Python software library that facilitates the geolocation of photographs and video frames from the International Space Station (ISS).

License

Notifications You must be signed in to change notification settings

macicco/ISS_Camera_Geolocate

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ISS Camera Geolocate README

This is a Python software library that facilitates the geolocation of photographs and video frames from the International Space Station (ISS). The library provides functions that take camera and pointing information, along with publicly available ISS position information, and then will geolocate every pixel of the photograph in latitude and longitude. This enables geospatial analysis of astronaut photography from Earth, including pictures of clouds, lightning, coastlines, city lights, etc. Many images available from https://earth.jsc.nasa.gov/ can be fully geolocated using this software.

ISS Camera Geolocate Installation

ISS Camera Geolocate works under Python 2.7 and 3.6 on most Mac/Linux setups. Windows installation and other Python versions are currently untested.

In the main source directory:
python setup.py install

The following dependencies need to be installed first:

  • A robust version of Python w/ most standard scientific packages (e.g., numpy, datetime, astropy, etc.) - Get one for free here.
  • SGP4

Specific import calls in the ISS Camera Geolocate source code:

from __future__ import print_function  # for debug
import numpy as np
import datetime as dt
from astropy.time import Time
from sgp4.earth_gravity import wgs84
from sgp4.io import twoline2rv
import time

Using ISS Camera Geolocate

To access everything:

import iss_camera_geolocate as icg

A demonstration notebook is in the notebooks directory.

Latest release info: DOI

About

Python software library that facilitates the geolocation of photographs and video frames from the International Space Station (ISS).

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Jupyter Notebook 98.3%
  • Python 1.7%