Metadata-Version: 2.4
Name: te_algorithms
Version: 2.1.17
Summary: Library supporting analysis of land degradation.
Author-email: Conservation International <trends.earth@conservation.org>
License: MIT
Project-URL: Homepage, https://github.com/ConservationInternational/trends.earth-algorithms
Project-URL: Repository, https://github.com/ConservationInternational/trends.earth-algorithms
Keywords: land degradation,LDN,SDG,sustainable development goals
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: License :: OSI Approved :: MIT License
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: openpyxl>=3.1.3
Requires-Dist: backoff>=2.1.0
Requires-Dist: marshmallow<4.0.0,>=3.21.3
Requires-Dist: marshmallow-dataclass>=8.7.1
Requires-Dist: defusedxml>=0.7.1
Requires-Dist: te_schemas@ git+https://github.com/ConservationInternational/trends.earth-schemas.git
Provides-Extra: api
Requires-Dist: boto3>=1.16; extra == "api"
Requires-Dist: GDAL>=3.0.0; extra == "api"
Provides-Extra: gee
Requires-Dist: earthengine-api==0.1.232; extra == "gee"
Provides-Extra: gdal
Requires-Dist: GDAL>=3.0.0; extra == "gdal"
Requires-Dist: numpy>=1.17.0; extra == "gdal"
Provides-Extra: numba
Requires-Dist: numba>=0.54.1; extra == "numba"
Provides-Extra: dev
Requires-Dist: check-manifest; extra == "dev"
Provides-Extra: test
Requires-Dist: coverage; extra == "test"
Requires-Dist: pytest; extra == "test"
Provides-Extra: docs
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx_rtd_theme; extra == "docs"
Dynamic: license-file

# trends.earth-algorithms

[![Ruff](https://github.com/ConservationInternational/trends.earth-algorithms/actions/workflows/ruff.yaml/badge.svg)](https://github.com/ConservationInternational/trends.earth-algorithms/actions/workflows/ruff.yaml)
[![Test](https://github.com/ConservationInternational/trends.earth-algorithms/actions/workflows/test.yaml/badge.svg)](https://github.com/ConservationInternational/trends.earth-algorithms/actions/workflows/test.yaml)
[![docs](https://readthedocs.org/projects/trendsearth-algorithms/badge/?version=latest)](https://app.readthedocs.org/projects/trendsearth-algorithms/builds/)

`trends.earth-algorithms` is a python package to facilitate analyzing
remotely-sensed datasets in support of monitoring land degradation. This
project contains common code used by the scripts in [trends.earth](http://github.com/ConservationInternational/trends.earth).

`Trends.Earth` is a free and open source tool to understand land change: the how and why
behind changes on the ground. Trends.Earth allows users to draw on the best available
information from across a range of sources - from globally available data to customized
local maps. A broad range of users are applying Trends.Earth for projects ranging from
planning and monitoring restoration efforts, to tracking urbanization, to developing
official national reports for submission to the United Nations Convention to Combat
Desertification (UNCCD).

`Trends.Earth` was produced by a partnership of Conservation International, Lund
University, and the National Aeronautics and Space Administration (NASA), with
the support of the Global Environment Facility (GEF). It was further developed
through a partnership with Conservation International, University of Bern,
University of Colorado in partnership with USDA and USAID, University of California -
Santa Barbara in partnership with University of North Carolina - Wilmington and Brown
University with additional funding from the Global Environment Facility (GEF).

# License

`trends.earth-algorithms` 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.

`trends.earth-algorithms` is part of trends.earth

[![Part of Trends.Earth](https://s3.amazonaws.com/trends.earth/sharing/trends_earth_logo_bl_600width.png)](http://trends.earth)
