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Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public. license DOI

EMSI (Ecosystem Moisture Stress Index)

Code, example data, and manuscript supplemental materials which accompany Swetnam, T.L.; Yool, S.R.; Roy, S.; Falk, D.A. On the Use of Standardized Multi-Temporal Indices for Monitoring Disturbance and Ecosystem Moisture Stress across Multiple Earth Observation Systems in the Google Earth Engine. Remote Sens. 2021, 13, 1448.

Lead Author: Tyson Lee Swetnam

Co-Authors: Donald A. Falk , Samapriya Roy , & Stephen Yool.


The repository is organized (in the attempt) to enable reproducible research as part of the FAIR data principles.

You can (re)run these analyses using your own computer, on commercial cloud, or a data science workbench CyVerse Discovery Environment.

See our Wiki for additional details on the background for this work.

Clone the repo to your local or VM:

git clone
gh repo clone tyson-swetnam/emsi