Digital Elevation Models (DEMs) are among the most crucial data sources in Geographic Information Systems (GIS). Photogrammetry is one of the key tools for producing Digital Elevation Models (DEM), making it a fundamental method relied upon by many countries worldwide for planning, sustainable development, and various civil and military projects and research. It is undeniable that the accuracy of digital models is one of the most significant challenges facing DEMs. Therefore, this study aims to utilize Drones as an alternative method for producing Digital Elevation Models with greater accuracy, speed, and lower costs compared to other methods. The study aims to produce a DEM with a resolution of 5 cm per pixel, along with a point cloud network, based on a composite dataset of approximately 272 aerial images covering an area of 182,337.6 square meters with an 80% overlap ratio to minimize distortions in the aerial images (aerial photogrammetry). The study resulted in the production of a high-accuracy DEM for the Green Island in Kuwait. The relative accuracy was found to be high, with a Root Mean Square Error (RMSE) of approximately 0.55 in the X-axis, around 0.56 in the Y-axis, and about 0.146 in the Z-axis when compared to their counterparts of corresponding data from Global Positioning System (GPS).