Presentation on theme: "Application of Earth Observation data in Agricultural drought monitoring Farai Kuri University of Zimbabwe."— Presentation transcript:
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
Study area Study 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.
Y=1/(0.25+0.02827*2.3038 x R²=0.91 P-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
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