التصنيف الرقمي لتغير استعمالات الأرض الزراعية في قضاء الكوفة Arc GIS

Abstract EN

The research aims to use modern geographic technologies, represented by remote sensing techniques in the environment of geographic information systems, as the method of Supervised Classification was used as well as the use of a set of statistical indicators to evaluate the accuracy of that classification, based on the data of the satellite images of the two satellites (Landsat TM5) and ( Landsat OLI / TIRS8) as well as the reference data for the agricultural departments as well as the field study for the purpose of detecting the trends of change in the uses of agricultural land in the Kufa district, as well as working to monitor the change in the types of agricultural crops and to reveal their geographical distribution and to know their growth and development trends and to know the changes that occurred in them through A comparison was made between the first agricultural seasons (1999/2000), which is the basis and the second (2018/2019), which is the comparison season, as the Supervised Classification revealed the geographical distribution of the types of agricultural land uses in the Kufa district, as well as the relative distribution of the area of each type with total accuracy (total accuracy And the kappa coefficient) for the autumn (2018) agricultural season (92.3%) and (0.89) for each, respectively, which is an excellent accuracy.

As for the spring agricultural season (2019), the percentage of The overall accuracy (94.6%) was also confirmed by the Kappa coefficient index with a value of.(0.93).