Estimation of cotton productivity depending on early growth stage using image space in pilot area (Al-Kaltta village)

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.

Using Remote Sensing in Drought Monitoring Case Study: The Eastern Region in Syria

In this study, drought in the eastern region of Syria (Hasake, Rakka, DerAzzor, Bokmal & Kameshli) has been investigated using SPI, NDVI indices. We used a set of data containing precipitation data for period from 1975 to 2010 to calculate Standardized Precipitation Index SPI, and MODIS time series images in April for period from 2000 to 2010 to calculate the Normalized Difference Vegetation Index NDVI.