Tools for interacting with UCalgary Space Remote Sensing data
Project description
PyUCalgarySRS
This is the Python library for retrieving and loading data provided by UCalgary Space Remote Sensing. More information including tutorials and dataset descriptions can be found on our open data platform at https://data.phys.ucalgary.ca.
PyUCalagarySRS currently supports Python 3.9+.
Some links to help:
- PyUCalgarySRS API Reference
- Crib sheets that utilize PyUCalgarySRS
- UCalgary Space Remote Sensing Open Data Platform
Installation
Installation can be done using pip:
pip install pyucalgarysrs
If you want the most bleeding edge version of PyUCalgarySRS, you can install it directly from the Github repository:
$ git clone https://github.com/ucalgary-srs/pyUCalgarySRS.git
$ cd pyUCalgarySRS
$ pip install .
Usage
Below is how the library can be imported:
import pyucalgarysrs
srs = pyucalgarysrs.PyUCalgarySRS()
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyucalgarysrs-1.3.1.tar.gz.
File metadata
- Download URL: pyucalgarysrs-1.3.1.tar.gz
- Upload date:
- Size: 44.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.9.19 Linux/4.18.0-553.27.1.el8_10.x86_64
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6e07f2b83432fd97cc558fb55a2a57760acf244846e1591eab2aba2ac6fe7ef1
|
|
| MD5 |
2c1cc603c33936f6d590d7529d741efe
|
|
| BLAKE2b-256 |
6b85ce8f01fd441c6a7ed4562ad0462cf2f6ceceb295eabc19cec64a6181d818
|
File details
Details for the file pyucalgarysrs-1.3.1-py3-none-any.whl.
File metadata
- Download URL: pyucalgarysrs-1.3.1-py3-none-any.whl
- Upload date:
- Size: 79.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.9.19 Linux/4.18.0-553.27.1.el8_10.x86_64
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b1db9046e8b3cda8e470cf874efe16f3e8ec6d7f70a8c9a2d07f5d742e3df396
|
|
| MD5 |
73f7020ffdd04c2ca35be13d351a70bd
|
|
| BLAKE2b-256 |
f590253d048b7c86f867b636dc7a4fb27755ff25f65d518135cb883ddfcd0cbd
|