Created
March 10, 2018 16:25
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Python script to dump some ISS orbit data
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#!/bin/python | |
import math | |
from pyorbital.orbital import Orbital | |
from pyorbital import tlefile | |
from datetime import datetime | |
from datetime import timedelta | |
tle = tlefile.read('ISS (Zarya)', 'C:\sankar\personal\iss-tle.txt') | |
orb = Orbital('ISS (Zarya)') | |
year = 2018 | |
month = 3 | |
day = 9 | |
hour = 0 | |
minute = 0 | |
time = datetime(year, month, day, hour, minute) | |
delta = timedelta(seconds = 60) | |
for i in range(300): | |
(x, y, z) = orb.get_position(time)[0] | |
r = math.sqrt(x*x + y*y + z*z) * 6378.1 | |
longlatalt = orb.get_lonlatalt(time) | |
print time, ',', longlatalt[0], ',', longlatalt[1], ',', longlatalt[2], ',', r | |
time += delta | |
Hi Sankaranarayanan,
Would it be possible to show (or attach) your sample TLE (iss-tle.txt) file format?
Is it something like this:
[http://www.celestrak.com/NORAD/elements/gp.php?CATNR=25544](url)
or it's got multiple entries for different timestamps in the same file?
Thanks,
Paddy
Hi, Paddy -
It's exactly like the example you have quoted. PyOrbital doc is here - https://pyorbital.readthedocs.io/en/latest/
Sankar
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This study was done to analyze the ISS orbit and explain the behavior of the altitude plot. Posted below is a graph plotting roughly three orbits of the ISS: The blue sinusoidal curve is the latitude - it varies from about 50S to 50N crossing through equatorial latitudes. The orange curve is relative distance to the ISS from the center of the Earth. I have used the term relative just to indicate that I have subtracted an offset of 6768.1 km to fit it in the same graph. The grey curve is the relative altitude. It's pretty clear that the peaks in the altitude correspond to extreme North/South latitudes and troughs correspond to equatorial latitudes. Further, two consecutive peaks are of different altitude because of the eccentricity of the orbit. The same case for two consecutive troughs as well.