Application of remote sensing in the diagnosis of agricultural lands irrigated with pivot sprinklers (Dijlah district as a model)
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Abstract
The study was about the application of remote sensing in the diagnosis of agricultural land irrigated with pivot sprinklers in the Tigris district. The study aims to identify the lands cultivated with this agricultural technical method. In addition، to reveal the spatial variation in the exploitation of cultivated lands using spectral enhancement methods that highlight the reflectivity of agricultural crops in different spectral colors. The study also uses spectral indicators to measure soil moisture in irrigated areas to know the size of the moisture content and density of the cultivated plant. The study chose the wheat crop as a case study in the application of remote sensing data، which gives a more realistic picture in reaching the overall facts and results. The study also used Landsat 9 satellite data for the year 2024 for the wet season and geographic information systems applications. The study also adopted the descriptive and analytical approach in employing and extracting results in order to reach the desired goal. The study concluded that remote sensing and geographic information systems have a clear and major role in detecting agricultural lands irrigated with pivot sprinklers، by calculating the area of that land and knowing the moisture of the cultivated soil.
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References
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