Metadata-Version: 2.1
Name: easysnowdata
Version: 0.0.6
Summary: package to easily get data relevant to snow
Author-email: Eric Gagliano <egagli@uw.edu>
License: MIT License
Project-URL: Homepage, https://github.com/egagli/easysnowdata
Keywords: easysnowdata
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: geopandas
Requires-Dist: rasterio
Requires-Dist: xarray
Requires-Dist: rioxarray
Requires-Dist: shapely
Requires-Dist: pystac-client
Requires-Dist: planetary-computer
Requires-Dist: odc-stac
Requires-Dist: xee
Requires-Dist: bs4
Requires-Dist: py3dep
Requires-Dist: earthaccess
Requires-Dist: contextily
Requires-Dist: folium
Requires-Dist: mapclassify
Requires-Dist: lxml
Provides-Extra: all
Requires-Dist: easysnowdata[extra] ; extra == 'all'
Provides-Extra: extra
Requires-Dist: pandas ; extra == 'extra'

# easysnowdata


[![image](https://img.shields.io/pypi/v/easysnowdata.svg)](https://pypi.python.org/pypi/easysnowdata)
[![image](https://img.shields.io/conda/vn/conda-forge/easysnowdata.svg)](https://anaconda.org/conda-forge/easysnowdata)


**package to easily get data relevant to snow**

easysnowdata is a package for retrieving all types of data relevant to snow, with an emphasis on minimizing downloads and local computations. This is done by querying data via STAC catalogs, lazy loading data,  computing using dask, and utilizing cloud computation (package works best in Planetary Computer). Data is primarily ouput in xarray objects. This is a package primarily for personal use, so design decisions made are often tailored to my particular use cases. Feel free to contribute! Package is under heavy construction for the time being.

## SNOTEL tools
![rainier_snotel](https://github.com/egagli/easysnowdata/assets/67975937/6f7b6494-ebf3-41ee-a1e1-a93e14b72e1f)
![ccss_california](https://github.com/egagli/easysnowdata/assets/67975937/d041d160-56df-49e0-ab86-b38a4bcf6bdc)
## ESA Worldcover
![worldcover](https://github.com/egagli/easysnowdata/assets/67975937/7a6bea85-e1dc-4818-bfbb-14a8eaa864ad)
## Sentinel-2 L2A
![s2_scl](https://github.com/egagli/easysnowdata/assets/67975937/c86aaccc-e60f-4475-a970-bfffa2b4c34c)
## Sentinel-1 RTC
![s1](https://github.com/egagli/easysnowdata/assets/67975937/78c0ed9f-3f86-42a3-9a05-877938932b4d)
## HLS v2.0
![hls](https://github.com/egagli/easysnowdata/assets/67975937/afa00f29-fd4d-4d44-a153-5e1a026a30ff)
## Sturm & Liston seasonal snow classification
![sturm](https://github.com/egagli/easysnowdata/assets/67975937/eb8b8eb1-93a8-4640-8c36-1f54f5ea3112)
## Forest Cover Fraction

## S1 LIA

## MODIS snow

## DEMs

## Hydrology


-   Free software: MIT License
-   Documentation: https://egagli.github.io/easysnowdata
    

## Features

-   TODO
