Predicting maize yield in Zimbabwe using dry dekads derived fromremotely sensed vegetation condition index

International Journal of Applied Earth Observation and Geoinformation

Volumn 33, Issue 1, 2014, Pages 39-46

  Kuri, Farai ^a,b   Murwira, Amon ^b   Murwira, Karin S ^a   Masocha, Mhosisi ^b  

^a Geo information and Remote Sensing Institute   (Zimbabwe)

^b UNIVERSITY OF ZIMBABWE   (Zimbabwe)

Author keywords

Dry dekads; Index; Maize yield; SPOT normalized difference vegetation; Vegetation condition index

Indexed keywords

CROP PRODUCTION; CROP YIELD; FOOD SECURITY; MAIZE; NDVI; PREDICTION; REGRESSION ANALYSIS; REMOTE SENSING; SPOT; TIME SERIES;

ZIMBABWE;

EID: 84904768083     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2014.04.021     Document Type: Article

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