Metadata-Version: 2.1
Name: sentinelhub
Version: 3.0.4
Summary: Sentinel Hub Utilities
Home-page: https://github.com/sentinel-hub/sentinelhub-py
Author: Sinergise ltd.
Author-email: info@sentinel-hub.com
License: MIT
Description: [![Package version](https://badge.fury.io/py/sentinelhub.svg)](https://pypi.org/project/sentinelhub/)
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        [![Docs status](https://readthedocs.org/projects/sentinelhub-py/badge/?version=latest)](http://sentinelhub-py.readthedocs.io/en/latest/)
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        [![Code coverage](https://codecov.io/gh/sentinel-hub/sentinelhub-py/branch/master/graph/badge.svg)](https://codecov.io/gh/sentinel-hub/sentinelhub-py)
        
        # Description
        
        The **sentinelhub** Python package allows users to make OGC (WMS and WCS)
        web requests to download and process satellite images within your Python
        scripts. It supports Sentinel-2 L1C and L2A, Sentinel-1, Landsat 8, MODIS and DEM data source.
        
        The package also supports obtaining data from Amazon Web Service. It can either provide data from public bucket with
        Sentinel-2 L1C imagery or requester pays bucket with Sentinel-2 L2A imagery. If specified the downloaded data can be
        stored in ESA .SAFE format (all types of .SAFE format are supported).
        
        # Installation
        
        The package requires a Python version >= 3.6 and installed C/C++ compiler. The package is available on
        the PyPI package manager and can be installed with
        
        ```
        $ pip install sentinelhub --upgrade
        ```
        
        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
        ```
        $ python setup.py build
        $ python setup.py install
        ```
        
        Before installing `sentinelhub-py` on **Windows** it is recommended to install package `shapely` from
        [Unofficial Windows wheels repository](https://www.lfd.uci.edu/~gohlke/pythonlibs/)
        
        Once installed or updated the package can be configured according to [instructions in documentation](http://sentinelhub-py.readthedocs.io/en/latest/configure.html).
        
        # Content
        
        ### OGC web service
        
        Some of the major features are linked to one's [Sentinel Hub account](https://services.sentinel-hub.com/oauth/subscription):
         * support for Web Map Service (WMS) and Web Coverage Service (WCS) requests using your Sentinel Hub account;
         * support for standard and custom multi-spectra layers, such as unprocessed
         bands, true color imagery, or NDVI;
         * support for multi-temporal requests;
         * support for cloud coverage filtering;
         * support for different Coordinate Reference Systems;
         * support to read and write downloaded data to disk in the most common
         image and data formats;
         * support for various data sources:
           * Sentinel-2 L1C,
           * Sentinel-2 L2A,
           * Sentinel-1,
           * Landsat 8,
           * MODIS,
           * DEM.
        
        
        ### AWS data download
        
        The package allows to download Sentinel-2 data from Sentinel-2 on AWS
        and reconstruct data into ESA .SAFE format.
        
        The following are implemented:
         * support for Sentinel-2 L1C and Sentinel-2 L2A data;
         * support of old and new (i.e. compact) .SAFE format;
         * support for downloading of either entire product, or a map of the .SAFE
         structure only;
         * support of command lines entries;
         * adjustable threaded downloads, and optional redownloads of existing data (not default);
         * requires either S-2 product ID, or tile name and date of a product.
        
        In case of Sentinel-2 L2A data AWS access key is required.
        
        
        ### Documentation
        
        For more information on the package and to access the documentation, visit [readthedocs](http://sentinelhub-py.readthedocs.io/).
        
        
        # Examples
        
        Jupyter notebooks on how to use the modules to execute OGC requests, or
        download raw data from AWS in .SAFE format can be found in the [examples](https://github.com/sentinel-hub/sentinelhub-py/tree/master/examples/)
        folder, or viewed in the [docs](http://sentinelhub-py.readthedocs.io/):
         * Using OGC web services ([link](http://sentinelhub-py.readthedocs.io/en/latest/examples/ogc_request.html))
         * Using utilities for large geographical areas ([link](http://sentinelhub-py.readthedocs.io/en/latest/examples/large_area_utilities.html))
         * AWS data download ([link](http://sentinelhub-py.readthedocs.io/en/latest/examples/aws_request.html))
         * AWS data download from command line in .SAFE format ([link](http://sentinelhub-py.readthedocs.io/en/latest/aws_cli.html))
        
        # Blog posts
        
         * [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 channel](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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: DEV
Provides-Extra: DOCS
