Objectives: The selection of temporary helicopter landing sites in complex geological environments, such as high-altitude, plateau, and mountainous regions, is crucial for military operations and emergency rescue missions. In the past, geographical factors were mainly considered in the study of heliport site selection, but the distribution of rock and soil mass, structure and geological disasters in the complex geological environment also hinder the helicopter site selection. Low assessment efficiency and accuracy are also the main problems. Methods: This paper addresses the challenges of low assessment efficiency and accuracy in selecting helicopter landing sites within such environments by proposing a weighted information-based model for site evaluation, utilizing remote sensing and auxiliary data. The model comprehensively considers geographic and geological factors relevant to site selection, ensuring rational and efficient site identification. Eight types of geographic and geological remote sensing datasets were used to design site selection criteria, which were quantified using the weighted information method. These criteria were then classified adaptively using the Jenks natural breaks method to generate a multi-category helicopter landing site suitability map, typically distinguishing areas such as suitable and hazardous zones. Results: An Alpha Shape-based convex hull search was developed to perform adaptive filtering of salt-and-pepper noise, further optimizing the site selection outcomes. Experiments demonstrate that the newly introduced geographic and geological environmental factors, including geological hazards, land cover, rock-soil type, RCI index, and joint structure, are critical indicators influencing site selection that were previously overlooked. Conclusions: The proposed model significantly enhances the rationality, safety, and automation of helicopter landing site selection, while the filtering algorithm effectively reduces noise, improving the reliability and practicality of the results.