Abstract : Besides geophysical inspections, the most common methods employed in near subsurface mapping are destructive and non-destructive excavation. This research focuses on studying the last method. Intensive literature and industrial search reveal firstly: There is no universal procedure or system that standardizes the best subsurface mapping approach. Secondly, the geophysical inspection’s output is not directly compatible with other thematic layers. Lastly, there are no databases or official records for the interaction of subsurface features with the different sensors and host materials and their conditions. Therefore, this research aimed to design an experimental prototype that leads to finding and storing these interactions to be used in feature detection. This information was called the Feature Characteristics (FC). In addition, it aimed to design a prototype for a new feature detection system called the Integrated Subsurface Mapping System (ISMS). This system proposes a new procedure that guides the user to determine the detectability of targeted features and the best combination to do it. The ISMS depends on the obtained FC. The outputs of the ISMS are a regular geophysical profile, 3D maps and diagrams, and a compatible Geographic Information Systems (GIS) thematic map. To achieve the mentioned goals, it was required to design and implement several experiments to study the subsurface FC. Then, these characteristics were used to design the proposed system. Next, the system was designed using a high-level Unified Modelling Language (UML) chart. Lastly, a MATLAB programmed code was used to produce a 3D spatial map using the experimental results. The designed experiments focused on three features: Municipal Solid Waste (MSW), voids, and plastic features, due to their high potential impact on the civil, structural design, and the environment. Besides, they are rarely addressed in the literature. Three detection methods were selected for the near subsurface mapping experiments, because of their applicability: Ground Penetrating Radar (GPR), Ultrasound Waves, and thermography. In addition, sand, gravel, and loamy soils were selected because they are among the most common soils. The research findings were significant because: It is the first research to investigate and develop the FC for MSW, voids, and plastic. Secondly, ISMS became the foundation for a novel decision support system (DSS) that facilitates detection procedures. Furthermore, ISMS produces a 3D thematic layer that could be integrated with other thematic maps. Lastly, the obtained map accuracy was assessed by comparing the mapped features with their actual location. The accuracy of the resulted maps was within acceptable civil engineering limits. This research recommended extending the work to study more variables, features, sensors, host soils, and conditions. So, the FC database could be comprehensive, and the feature detection yields more accuracy. Finally, it is recommended to program the ISMS and write the operational manual to facilitate the feature detection process.