Metadata-Version: 1.1
Name: trendsearth-schemas
Version: 0.1
Summary: Stores the schemas used internally in the trends.earth package to handle metadata for analysis results.
Home-page: https://github.com/ConservationInternational/trends.earth-schemas
Author: Conservation International
Author-email: trends.earth@conservation.org
License: MIT
Description-Content-Type: UNKNOWN
Description: trendsearth_schemas

        ===================

        

        .. image:: https://travis-ci.org/ConservationInternational/trends.earth-schemas.svg?branch=master

            :target: https://travis-ci.org/ConservationInternational/trends.earth-schemas

            :alt: Build Status 

        

        ``trendsearth_schemas`` is a python package that stores the schemas used for

        internal handling of the results of trends.earth analyses.

        

        This package was produced as an output of the Global Environment Facility

        (GEF)-funded project “Enabling the use of global data sources to assess and

        monitor land degradation at multiple scales”. The project aims to provide

        guidance on robust methods and a toolbox for assessing, monitoring status, and

        estimating trends in land degradation using remote sensing technology. For

        additional information on the project see http://vitalsigns.org/gef-ldmp.

        

        The Land Degradation Monitoring Project is a collaboration of Conservation

        International, the National Aeronautics and Space Administration (NASA), and

        Lund University.

        

        License

        -------

        

        ``trendsearth_schemas`` is free and open-source. It is released under the

        following (MIT) license:

        

        Permission is hereby granted, free of charge, to any person obtaining a copy of

        this software and associated documentation files (the "Software"), to deal in

        the Software without restriction, including without limitation the rights to

        use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies

        of the Software, and to permit persons to whom the Software is furnished to do

        so, subject to the following conditions:

        

        The above copyright notice and this permission notice shall be included in all

        copies or substantial portions of the Software.

        

        Except as contained in this notice, the name(s) of the above copyright holders

        shall not be used in advertising or otherwise to promote the sale, use or other

        dealings in this Software without prior written authorization.

        

        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

        SOFTWARE.

        

        ``trendsearth_schemas`` is part of trends.earth

        

        .. image:: 

            https://s3.amazonaws.com/trends.earth/sharing/trends_earth_logo_bl_print_400width.png

            :target: https://trends.earth

            :alt: Part of trends.earth

        
Keywords: land degradation LDN SDG sustainable development goals
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
