تقدير إنتاجية حقول القطن من مرحلة نمو مبكرة باستخدام الصور الفضائية في منطقة اختبارية (قرية الكالطة)‎

الملخص EN

This research aimed to use space image at certain growth stage for predicting cotton yield in its direct physio-spectral relationship with productivity.

Timely, at the beginning of August better spectral growth stage is coincidence with a maximum leaf area index of cotton plants at Al-Kaltta fields.

Normalized difference vegetation index (NDVI) showed superiority on each of red and near infrared channels in relation with productivity.

Exponential model was used to predict cotton productivity depending on NDVI values during stage that maximum LAI.

Accuracy assessment of spectral exponential model on image space for predict cotton productivity (more one month before harvest) were done compared with the field data collected at harvest from 82 cotton fields, refer to: mean productivity by image and field were 452 ±67.2 and 450 ±60.8 Kg/1000m2 respectively.

Percent standard error of productivity by image opposite of field was ±12% and the correlation determination (R2 ) was 0.86.