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العربية 
| S K AAl-Hummadi[1] | N S Nuaimy[2] | A L Ubaidy[3] |
| 1Ministry of science and Technology, ,Remote sensing center, Iraq
E-mail: shathamaster@yahoo.com
|
2Ministry of science and Technology, Remote sensing center, Iraq
E-mail: adelafrah@yahoo.com
|
3Ministry of science and Technology, Remote sensing center, Iraq
E-mail: eng.ncham@yahoo.com
|
Abstract.
Differentiating agricultural crops using remote sensing techniques is essential in the economic planning for countries and strategic alternative to field measurements. The methodology for this work is selection of satellite data (Sentinal-2A) with spatial resolution (10m) for months of the agricultural season to wheat and barley crop (September 2017 to July 2018) in the middle of Iraq between (330 0‘33.92” N – 330 0‘ 45” N) latitude and (44026‘7.43“E – 44026‘55.98“E) longitude which is famous for planting different types of agricultural crops. After doing spatial subset of interested bands, The Normal differences vegetation index (NDVI) were calculated for all images then NDVI stacking technique were done, the spectral angle mapper classification were applied with different spectral angles after determinate signatures of wheat and barley extracted from NDVI stack layer with determine NDVI values for march month more than 0.45. The results showed that cultivated areas of wheat and barley represents (31.5%) of the study area. Overall accuracy assessment were calculated for SAM classification with ground truth which gave highly accuracy assessment when choosing spectral angle (0.2).
Keywords: wheat , barley , SAM, NDVI , stacking.
