التنبؤ بإنتاج القمح في سورية من بيانات المرئيات الفضائية متعددة المراحل بمقياس صغير

Abstract EN

In this study, spectral and agricultural analyses of the wheat agricultural systems in Syria are studied during 2007, 2008 and 2009.

Spectral yield prediction models are applied during early and advanced growth stages in the first and second rain stable zones in Syria.

Spectral yield prediction models were applied using small-scale multi-temporal images- (NOAA AVHRR) that were recorded during early and advanced growth stages of wheat.

The predicted yield were compared with that recorded by the agricultural Ministry.

The accuracy for the prediction of the spectral models during the early stages of growth (23- months before harvest) were less by 14 - 42 % of the recorded yield comparing with the agricultural records, either in the good or low-precipitation seasons.

But the accuracy of the prediction during the advanced stages of growth (1 -2 months before harvest) fluctuated from -1 ..

+3 % up of the recorded yield and that is only in the good rainfall seasons, dropped down to 66 % from the recorded yield in the drought season.

The big difference between the predicted and recorded yield during the low-precipitation season arise a question about that recorded in two points: firstly, the difference value is very big, only in the low-precipitation season, but high accuracy in the other seasons.

Secondly, the field observations during that low-precipitation season are not in agreement with that recorded.

An Analytical Study of the Most Important Economic Indicators of Leguminous Forage Crops in Dara'a Governorate