Modeling the amounts of rain and their environmental effects for some areas of Salah al-Din, using satellite data
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Abstract
The research focuses on the use of satellite images in climate studies, as these visuals reflect the measurement of the amount of rain on the surface of the land cover. This study can also be considered the beginning of the development of climate studies, specifically the local climate and at the site and site levels.
The study area is located within the semi-mountainous region with a transitional climate that is characterized by extremism in its climatic elements. The study was able to build a model of precipitation quantities based on the JAXA satellite visuals in the Arc Gis program. This is done by using the GPM model, which is an acronym for Global Perception Measure, which is affiliated with the JAXA satellite, whose function is to measure rain in the world in a format that the Arc Gis program converts to the Raster format. The study led to a statistically test of the model’s accuracy by matching their data with the ground stations. The station’s position was taken and the pixel value on which the station is located was extracted in the designed models. The study reached a very large percentage of data convergence in most of them (99%). This was reflected in the region’s environment in terms of drought, which were tested in models based on satellite visuals such as NDWI Water Cover Models, NDVI Vegetation Index, and CL of Biocortex adopted for extraction on Landsat 8 visuals.
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