https://github.com/seungwonpark/sunspottracker

Crawl images of the Sun from SDO HMII and track sunspots from them.
https://github.com/seungwonpark/sunspottracker

astronomy nasa python sunspot tracker

Last synced: 12 days ago
JSON representation

Crawl images of the Sun from SDO HMII and track sunspots from them.

• Host: GitHub
• URL: https://github.com/seungwonpark/sunspottracker
• Owner: seungwonpark
• License: mit
• Created: 2016-09-24T15:21:37.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-08-04T00:22:07.000Z (over 6 years ago)
• Last Synced: 2025-01-21T05:38:30.751Z (13 days ago)
• Topics: astronomy, nasa, python, sunspot, tracker
• Language: Python
• Homepage:
• Size: 40 KB
• Stars: 2
• Watchers: 5
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# SunSpotTracker

# IMPORTANT : `getdata.py` Currently not working. Please use `getdata_bs.py`.

Sunspots tracking tool based on python. `track.py`, `getdata_bs.py`, and `selectdata.py`.

## track.py

+ Based on Python3

+ Requires scipy, numpy, and matplotlib. I recommend to use [Anaconda](https://www.continuum.io/downloads).

+ First, place the images that you want to track at `images/` directory.

+ Recommended default usage : `python track.py 1 0`

+ If you don't want to use plot utility, then `python track.py 0 0`.

+ If you want to parse data as raw coordinates, tehn `python track.py 0 1`. Rawdata files are needed for using `selectdata.py`.

+ Results are written to `results/` directory.

+ Ignore the matplotlib DeprecationError.

Time, latitude, and longitude will be written in `results.csv`.

In `track.py`, each pixels of sunspot aren't abstracted to one point. If you want to use such utility, make rawdata files and use `selectdata.py`.

## getdata_bs.py : New version of getdata.py

+ Based on Python3

+ Requires BeautifulSoup. I recommend to use [Anaconda](https://www.continuum.io/downloads).

+ Usage : `python getdata_bs.py startdate enddate hourgap`

+ Example : `python getdata.py 20160129 20160203 4`

+ This will save images from [NASA Solar Dynamics Observatory](http://sdo.gsfc.nasa.gov) to `images/` directory. You can also select minimum time gap between images.

+ Please refer to [Data Rights and Rules for Data Use](http://sdo.gsfc.nasa.gov/data/rules.php) and attribute as :

> "Courtesy of NASA/SDO and the AIA, EVE, and HMI science teams."

**Caution** : Time gap between downloaded images are **not identical** to the `hourgap` you typed. `hourgap` is just a minimum time gap between images.

## selectdata.py

+ Based on Python3

+ First, place the rawdata `*.csv` files to `rawdata_to_select/` directory. (You can put multiple files!)

+ Then, dfs-processed data will be written to `selected/` directory.