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

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

In this work we explore three methods for quantifying ecosystem vegetation responses spatially and temporally using Google’s Earth Engine, implementing an Ecosystem Moisture Stress Index (EMSI) to monitor vegetation health in agricultural, pastoral, and natural landscapes across the entire era of sp...

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Bibliographic Details
Main Authors: Tyson L. Swetnam, Stephen R. Yool, Samapriya Roy, Donald A. Falk
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
z-score
satellite remote sensing
NDVI
Google Earth Engine
open science
Online Access:https://www.mdpi.com/2072-4292/13/8/1448

Internet

https://www.mdpi.com/2072-4292/13/8/1448

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