Geographical analysis of soil moisture in Shaqlawa district using remote sensing data (RS) and (GIS)
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Abstract
Soil moisture plays an important role in water and environmental balance in any region. In this research, spatial and temporal analysis of soil moisture has been done for Shaqlawa district was conducted based on remote sensing data through soil moisture Index equation (SMI), for radiation analysis Aerial imagery extracts, worked on (34) aerial images, in the rainy season (2015-2016) (2018-2019) (2020-2021), in order to show the spatial differences between different times, for this purpose the researchers relied on Landsat-8 OLI data showed that the soil moisture content of the study area is (0.56) which places the area in the group (semi-humid), in the rainy season (2018-2019) This ratio will increase to (0.62). In the rainy season (2020-2021) it will decrease to (0.49).
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