Skip to main content

Earth Engine based DisALEXI Model

Project description

Latest version on PyPI Build status

This repository provides an Earth Engine Python API based implementation of the DisALEXI ET model.


Jupyter notebooks are provided in the “examples” folder that show various approaches for calling the OpenET DisALEXI model.


The OpenET DisALEXI python module can be installed via pip:

pip install openet-disalexi


Modules needed to run the model:

Modules needed to run the test suite:

OpenET Namespace Package

Each OpenET model should be stored in the “openet” folder (namespace). The benefit of the namespace package is that each ET model can be tracked in separate repositories but called as a “dot” submodule of the main openet module,

import openet.disalexi as disalexi



Anderson, M. C., J. M. Norman, J. R. Mecikalski, J. A. Otkin, and W. P. Kustas (2007), A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation, J. Geophys. Res., 112, D10117, doi:10.1029/2006JD007506.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openet-disalexi-0.0.3.tar.gz (43.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page