Step by Step: Recommended Practice Drought monitoring using the Vegetation Condition Index (VCI)

Data Access: 

The step-by-step procedure for drought monitoring using the Vegetation Condition Index (VCI) is available to follow using R-Studio, Python and ENVI. These methods were developed to give the user flexibility to choose which of the open source tools is more practical and convenient. The scripts available in R and Python derive the VCI from the Enhanced Vegetation Index (EVI) while the step-by-step instructions in ENVI (5.0) are based on the Normalized Differentiated Vegetation Index (NDVI). 

Please click on the icons below to see the corresponding step-by-step procedure.

Image: The R Foundation/CC-BY-SA 4.0 Logo: Envi software

 

 

 
Logo: Python Software Foundation/GPL

 

Overview of available Step-by-Step instructions for Drought Monitoring using the Vegetation Condition Index (VCI):

Software VCI based on Cloud Mask Published Access
ENVI (version 4.8) NDVI No Dec 2014 Link
ENVI (version 5.0) NDVI No Dec 2014 Link
R NDVI No June 2015 Link
R EVI Yes May 2016 Link
R (large areas) EVI Yes Sep 2018 Link
Python EVI Yes Feb 2018 Link

The related Recommended Practice on Drought Monitoring using the Standardized Vegetation Index (SVI) can be found here.

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