Out-of-the-box methods for satellite imagery processing
Easy to use out-of-the-box satellite imagery package for Python aficionado.
Adding fun to satellites coolness 😎
Warning: This is still a work in progress. Please do not use in production, yet.
Seriously, what is it? 🧐
Sky kit is an ensemble of methods to ease satellite imagery processing, from and to developers and data scientists. Working with any satellite imagery provider, should be as easy as:
from skykit.providers import <ProviderName>
As with any python package, pip is your friend:
pip install skykit
The following shows details of a tile from Sentinel-2, that includes Paris (France), from 01/03/2019 to 08/03/2019:
from datetime import date from skykit.providers import Sentinel2 sat = Sentinel2(username="xxx", password="yyy") tiles = sat.query( coordinates=(2.349014, 48.864716), # Paris (FR) coordinates dates=(date(2019,3,1), date(2019,3,8)) # From march 1, 2019 to march 8, 2019 ) len(tiles) # returns 6 tile = tiles # Pick any tile you want, or filter more print(tile['summary']) # returns 'Date: 2019-03-02T10:50:29.024Z, Instrument: MSI, Mode: , Satellite: Sentinel-2, Size: 730.27 MB'
In the previous example, the
tiles variable will include meta information of every tile returned from Sentinel-2 query.
Connecting to satellite images providers
Actually, Sky kit support the following ticked providers (others coming):
- Sentinel 1
- Sentinel 2
- Landsat 7
- Landsat 8
All image providers are grouped into
skykit.providers module. Invoking a provider (like Sentinel-2) can be done like this:
from skykit.providers import Sentinel2
We then need to initialize the connection with the provider. eg with Sentinel-2:
sat = Sentinel2(username="xxx", password="yyy")
Nota: Sentinel 1 & 2 require having credentials to connect to Copernicus Open Access Hub. Once created, insert your credentials in the code above.
- Write a better documentation. Look for readthedocs.io
- Add providers
- Create a reusable abstraction of
Tile, to create a uniform use of tiles, no matter which provider
- Ease working with tiles meta data (usually about the scene and satellite)
- Allow querying using a polygon
- Allow querying using an address
- Use friendly dates (like text:
"26/03/2019"), of use
- Allow working on specific bands. Something like:
image = tile.get('b04') # or tile.b04() ???
- More tests <-- ⚠ URGENT
- Create a CI/CD pipeline to publish tags into PyPi
This list is not exhaustive.
Please suggest contributions using Github's Pull Requests.
Read the LICENSE.txt file.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.