trends.earth-algorithms

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).

Documentation

For further information on trends.earth-algorithms see the documentation.

Installation

GDAL must be installed before installing trends.earth-algorithms. On Ubuntu/Debian:

sudo apt-add-repository ppa:ubuntugis/ubuntugis-unstable
sudo apt-get update
sudo apt-get install gdal-bin libgdal-dev

Then install the package:

git clone https://github.com/ConservationInternational/trends.earth-algorithms
cd trends.earth-algorithms
pip install -e .

Contributing

Contributions are welcome. Please report bugs or suggest improvements via the issue tracker.

Related Projects

Trends.Earth is built from a set of interconnected repositories:

• trends.earth — QGIS plugin for land degradation monitoring
• trends.earth-schemas — Data schemas for analysis results
• trends.earth-API — Backend REST API
• trends.earth-Environment — Job execution environment for running scripts
• trends.earth-CLI — Command-line interface for developing custom scripts
• trends.earth-api-ui — Web UI for API management

License

trends.earth-algorithms is free and open-source. MIT License — see LICENSE.