Authors : Dr. Neha Awasthi, Rajeev Kumar
Abstract : The convergence of Geographic Information Systems (GIS) and Remote Sensing (RS) has brought a transformative shift in spatial data analysis, enabling precise observation, mapping, and decision-making processes. While remote sensing facilitates the acquisition of satellite-based imagery and aerial data, GIS aids in the structured analysis and management of spatial information. The integration of these two technologies enhances capabilities in diverse fields including agriculture, urban planning, disaster management, environmental monitoring, and resource management. This paper delves into the foundational aspects of GIS and Remote Sensing, highlighting their individual components and the mechanisms through which their integration offers an advanced platform for spatial analysis. It discusses data types, processing techniques, interoperability frameworks, and case studies that exemplify the synergy of GIS-RS integration. Furthermore, the paper emphasizes challenges such as data accuracy, temporal resolution, and processing limitations while projecting the future trajectory of this integration in the age of AI and big data.
Keywords: Geographic Information System, Remote Sensing, Spatial Analysis, Satellite Imagery, Data Integration, Spatial Data, Geoinformatics.
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