Metadata-Version: 2.1
Name: stmetrics
Version: 0.1.4
Summary: A package to compute metrics from Satellite Image Time Series (SITS).
Home-page: https://github.com/andersonreisoares/stmetrics/
Author: Anderson Soares, Thales Körting
Author-email: andersonreis.geo@gmail.com
License: UNKNOWN
Description: Spatio-Temporal Metrics
        =====================================
        
        .. image:: https://readthedocs.org/projects/stmetrics/badge/?version=latest
        		:target: https://stmetrics.readthedocs.io/en/latest/?badge=latest
        		:alt: Documentation Status
        
        .. image:: https://img.shields.io/badge/license-MIT-green
                :target: https://github.com/andersonreisoares/stmetrics/master/LICENSE
                :alt: License
        
        Produce reliable land use and land cover maps to support the deployment and operation of public policies is a necessity, especially when environmental management and economic development are considered. To increase the accuracy of these maps, satellite image time-series have been used, as they allow the understanding of land cover dynamics through the time.
        
        The stmetrics, is a python package that provides the extraction of state-of-the-art time-series features. These features can be used for remote sensing time-series image classification and analysis.
        
        Installation
        =============
        You can pip install it straight from git:
        
        .. code-block:: console
        
        	pip install stmetrics	
        
        For windows users:
        ==================
          Please before installing the package make sure that you have correctly installed the Shapely package.
          
        Using conda do this:
        ---------------------
        
        .. code-block:: python
        
        	conda config --add channels conda-forge
        	conda install shapely
        
        Developer Documentation
        ========================
        See https://stmetrics.readthedocs.io/en/latest/
        
        
        Collaborators
        =============
        
        - Thales KÃ¶rting
        - Hugo Bendini
        - Leila Fonseca
        - Daiane Vaz
        - Tatiana Uehara
        - Michel Chaves
        - Sarah Lechler
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 2 - Pre-Alpha
Description-Content-Type: text/markdown
