Application of Earth Observation data in Agricultural drought monitoring Farai Kuri University of...
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Application of Earth Observation data in Agricultural drought
monitoring
Farai Kuri University of Zimbabwe
Introduction
Drought traditionally measured using rainfall data
Rainfall indices an indirect measure of drought
Remote sensing drought indices are plant based
EO is therefore a direct measure of plant performance
Objectives
To test whether and to what extent EO based drought indices can predict maize yield in Zimbabwe
Materials and Methods
Study areaStudy was based on the whole of
Zimbabwe
Data
Maize yield data courtesy of Ministry of Agriculture Mechanisation and Irrigation Development (2009-2010 & 2011-2012)
SPOT VGT NDVI long-term series AMESD Station at SIRDC and UZ (1998-2012)
Data Analysis
Calculated Vegetation Condition Index (VCI) from SPOT NDVI series
VCI<36%, Dry dekad (1), Not Dry ( 0)
Frequency of dry dekads calculated for 2009-2010 & 2011-2012
Relating Drought to Maize Yield
Regression was used to test whether and to what extent EO based dry dekads can predict maize yield.
In-Situ Maize Yield 2011-12
Frequency of Dry Dekads (2011-12 )
Results
In-Situ Maize Yield 2009-10
Frequency of Dry Dekads (2009-10)
Frequency of Dry Dekads (2009-10)
Y=1/(0.25+0.02827*2.3038x
R²=0.91P-Value=0.001
Conclusion
There is a significant relationship between frequency of RS based dry dekads and maize yield
Therefore frequency of RS based dry dekads can be used to evaluate impact of drought on yield or to estimate crop yield
Thank You