Metadata-Version: 2.1
Name: sentinelhub
Version: 3.5.1
Summary: Sentinel Hub Utilities
Home-page: https://github.com/sentinel-hub/sentinelhub-py
Author: Sinergise ltd.
Author-email: info@sentinel-hub.com
License: MIT
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        ## Introduction
        
        The **sentinelhub** Python package is the official Python interface for [Sentinel Hub services](https://www.sentinel-hub.com/). It supports most of the services described in the [Sentinel Hub documentation](https://docs.sentinel-hub.com/api/latest/) and any type of [satellite data collections](https://docs.sentinel-hub.com/api/latest/data/), including Sentinel, Landsat, MODIS, DEM, and custom collections produced by users.
        
        The package also provides a collection of basic tools and utilities for working with geospatial and satellite data. It builds on top of well known packages such as `numpy`, `shapely`, `pyproj`, etc. It is also a core dependency of [`eo-learn`](https://github.com/sentinel-hub/eo-learn) Python package for creating geospatial data-processing workflows.
        
        The main package resources are [GitHub repository](https://github.com/sentinel-hub/sentinelhub-py), [documentation page](https://sentinelhub-py.readthedocs.io/en/latest/), and [Sentinel Hub forum](https://forum.sentinel-hub.com/).
        
        
        ## Installation
        
        The package requires a Python version >= 3.7 and an installed C/C++ compiler. The package is available at
        the PyPI package index and can be installed with
        
        ```
        $ pip install sentinelhub
        ```
        
        or with an extension tag for additional functionalities
        
        ```
        $ pip install sentinelhub[AWS]  # extra dependencies for interacting with Amazon Web Services
        ```
        
        Alternatively, the package can be installed with Conda from `conda-forge` channel
        
        ```
        $ conda install -c conda-forge sentinelhub 
        ```
        
        To install the package manually, clone the repository and run
        
        ```
        $ pip install .
        ```
        
        Before installing `sentinelhub` on **Windows** it is recommended to install `shapely` package from
        [Unofficial Windows wheels repository](https://www.lfd.uci.edu/~gohlke/pythonlibs/)
        
        Once installed the package can be configured according to [configuration instructions](https://sentinelhub-py.readthedocs.io/en/latest/configure.html) in documentation.
        
        
        ## Content
        
        A high-level overview of the main functionalities:
        
        - Sentinel Hub services
          * [Process API](https://docs.sentinel-hub.com/api/latest/api/process/),
          * [Catalog API](https://docs.sentinel-hub.com/api/latest/api/catalog/),
          * [Batch Processing API](https://docs.sentinel-hub.com/api/latest/api/batch/),
          * [BYOC API](https://docs.sentinel-hub.com/api/latest/api/byoc/),
          * [Statistical API](https://docs.sentinel-hub.com/api/latest/api/statistical/),
          * [OGC services (WMS/WCS/WFS)](https://docs.sentinel-hub.com/api/latest/api/ogc/),
          * [FIS](https://www.sentinel-hub.com/develop/api/ogc/fis-request/),
          * authentication and rate-limit handling,
        
        - geospatial utilities
          * interface for geospatial objects and transformations,
          * large area splitting,
          * data collection objects,
          * IO tools,
        
        - download Sentinel-2 data from public [AWS S3 buckets](https://registry.opendata.aws/sentinel-2/) (required `[AWS]` package extension)
          * restoration of .SAFE format,
          * L1C and L2A data,
          * command line interface,
        
        - [Geopedia](https://portal.geopedia.world/) WMS and REST API.
        
        
        ## Documentation
        
        For more information on the package and to access the documentation, visit [readthedocs](https://sentinelhub-py.readthedocs.io/).
        
        
        ## Examples
        
        The package has a collection of Jupyter notebooks with examples. They are available in the [examples folder](https://github.com/sentinel-hub/sentinelhub-py/tree/master/examples) on GitHub and converted into documentation under [Examples section](https://sentinelhub-py.readthedocs.io/en/latest/examples.html).
        
        Additionally, some examples are explained in Sentinel Hub webinar videos:
        
        - [Process API in Python](https://www.youtube.com/watch?v=sX3w3Wd3FBw&list=PL46vEE2ks3tn8NGesSFllgJW5MSYRi4od&index=10&t=2220s)
        - [OGC API in Python](https://www.youtube.com/watch?v=CBIlTOl2po4&list=PL46vEE2ks3tn8NGesSFllgJW5MSYRi4od&index=4&t=1766s)
        
        
        ## Blog posts
        
        The package played a key role in many projects and use cases described at [Sentinel Hub blog](https://medium.com/sentinel-hub). The following blog posts are about the package itself:
        
         * [Upgrading the sentinelhub Python package](https://medium.com/sentinel-hub/upgrading-the-sentinelhub-python-package-2665f9c10df)
         * [Release of sentinelhub Python Package 2.0](https://medium.com/sentinel-hub/release-of-sentinelhub-python-package-2-0-a3d47709f8fd)
        
        
        ## Questions and Issues
        
        Feel free to ask questions about the package and its use cases at [Sentinel Hub forum](https://forum.sentinel-hub.com/) or raise an issue on [GitHub](https://github.com/sentinel-hub/sentinelhub-py/issues).
        
        You are welcome to send your feedback to the package authors, Sentinel Hub research team, through any of [Sentinel Hub communication channels](https://sentinel-hub.com/develop/communication-channels).
        
        
        ## License
        
        See [LICENSE](https://github.com/sentinel-hub/sentinelhub-py/blob/master/LICENSE.md).
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: AWS
Provides-Extra: DEV
Provides-Extra: DOCS
