Development and Analysis of Virtual Geographic Atmosphere using Geographic Information System and Spectral Bands
Geographic Information System has played a crucial role in the development and to build a better understanding of our world, climate, and environment. With the advancement in the electromagnetic spectrum for various technologies, many different techniques have been developed, resulting in improvements in remote sensing. In this paper, we discuss a novel application of GIS. By integrating geographic information systems (GIS) and various spectral bands for element and terrain analysis, virtual environmental modeling has been developed, leading to the development of interactive virtual geographic atmospheres (VGA). This paper presents a novel approach to constructing a VGA using geographic information to simulate realistic atmospheric conditions in virtual environments. Here, virtual environments are created in Blender. By leveraging spatial data, topographic features and their various elements, and climate parameters, the proposed system enhances the accuracy and interactivity of the geographic simulations. The methodology involves processing geospatial datasets, integrating machine learning models, and applying visualization techniques to generate dynamic atmospheric conditions. The VGA framework has potential applications in urban planning, environmental monitoring, disaster management, and virtual tourism. This will result in more implementation and diversified usage in AR (Augmented Reality) and VR (Virtual Reality). We also present a comparison with IoT (Internet of Things). The results demonstrate that the developed system represents real-world atmospheric behavior, offering a valuable tool for scientific research and decision-making. Future improvements include refining real-time data integration and enhancing efficiency for large-scale simulations.
Authors
- Sarabpreet Kaur (ORCID: https://orcid.org/0000-0001-8787-906X)
- Bhupinder Kaur
- Parveen Kumar
- D.P. Nagar
- Vishwas Miglani
- Prakhar Kansal
Institutions
- Chandigarh University (IN)
- Punjab Engineering College (IN)
Publication Details
- Published
- 2025-06-05
- DOI
- https://doi.org/10.1109/eaic66483.2025.11101477
- Primary Topic
- Remote Sensing and Land Use
- Type
- article
- Field-Weighted Citation Impact
- 0.00