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Land suitability is a crucial factor in land use planning and sustainable agricultural production. Evaluating land suitability helps optimize land use, promote sustainable land use, protect the environment, and ensure optimal use of natural resources. This study was conducted in the Abiek region of Qazvin province in northwest Iran, covering an area of 60,000 hectares. After collecting data from 300 soil profiles and determining land suitability classes for wheat cultivation with surface irrigation using the FAO classification system, digital elevation models, Landsat-8 and Sentinel-2 satellite images, and environmental variables extracted from the digital elevation model were used to create digital maps using both traditional and machine learning methods. The results showed that the machine learning method had a higher accuracy rate of 74% and a Kappa index of 68 compared to the traditional method with an accuracy rate of 62% and a Kappa index of 53. The most important environmental variables used in the machine learning model were those extracted from the digital elevation model and Landsat-8 satellite images. The largest area for wheat cultivation with surface irrigation was found in the relatively suitable class (S2), with 30,753 hectares in the random forest method and 21,028 hectares in the traditional method. In contrast, the smallest area belongs to the unsuitable class (N), with 3,052 hectares in the forest method. Additionally, random fields and 7185 hectares were identified in the traditional method. Also, 15,000 hectares of the study area are suitable for wheat cultivation without restrictions. [ABSTRACT FROM AUTHOR]

Geomorphological forms each at different stages of the process of environmental change and evolution, stable conditions and instabilities under the influence of external and internal processes. One of these forms is igneous masses, which take on a distinct shape and change due to tectonic movements and fault movements. This change can be shown using geomorphological evidence and indicators. The igneous massif is located beyond the Sanandaj-Sirjan metamorphic belt in the western part of Qom province. By examining different patterns such as drainage patterns, color tone, slope, circular rings, and geomorphological indices, mass growth was revealed in this area. The pattern index completely indicates the instability of this mass. Most of the surfaces of the alley mass slopes are composed of triangular shapes, the formation of which is the result of the performance of active internal processes against external processes. The color tone of this cone is light and indicates that it is active. The circular rings of the mass indicate the expansion of the eastern slopes. The slope of this mass is between 5-10.5 which is justified by tectonic action and all the alluvial fans of the surface morphology are in the form of ducts and small ridges 2 cases of erosion were observed in the southeastern part of the intrusive mass, which is advancing towards the top of the alluvial fan. Captivity and diversion of waterways in the region is another piece of evidence that is influenced by active tectonics. Due to the instability of the slopes and alluvial fans, no human activity (except in special cases) has been formed in the area. In general, the indicators and evidence of instability and active tectonic movements in different parts of the intrusive rock of diorite and the lack of news of the day. Due to the active tectonics and instability of this environment is fully approved.