Skip to content

Python package with functions for assessing land change, drought vulnerability, and urbanization

License

Notifications You must be signed in to change notification settings

ConservationInternational/trends.earth-algorithms

Repository files navigation

trends.earth-algorithms

Style Test

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.

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

About

Python package with functions for assessing land change, drought vulnerability, and urbanization

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •  

Languages