Spatial Analysis of Predicting Soil Physicochemical Properties Using Satellite Images: A Case Study in Erbil Governorate

Abstract

Description of soil properties quickly is an important way to get many agricultural pursuits. This research aims to forecast soil physicochemical characteristics utilising laboratory soil physicochemical tests, Landsat 8 OLI/TIRS, remote sensing and GIS methods, and statistical analysis. In 2020, twenty-five soil samples (0-25 cm) and a mosaic of two Landsat 8 OLI/TIRS images were taken from twenty-five sites in the Erbil governorate. Laboratory tests were used to evaluate many physicochemical characteristics of the obtained soil samples. Furthermore, reflectance data derived from Landsat 8 OLI/TIRS pictures have been employed. To investigate the most important connections between soil characteristics and the spectral bands of the Landsat 8 OLI/TIRS pictures, statistical correlation and regression studies were performed employing SPSS. The arc map was used to produce predicted maps for the surface soil physicochemical characteristics. The study's findings indicated some substantial correlations between the values of the Landsat 8 OLI/TIRS image bands and the examined soil characteristics. The bulk density (BD) and the Landsat 8 OLI/TIRS image bands had the strongest connection.