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The integration of remote sensing (RS) and Geographic Information Systems (GIS) has become a cornerstone in spatial analysis and modeling, offering powerful tools for environmental monitoring, urban planning, natural resource management, and disaster management. Remote sensing provides detailed and timely information about the Earth's surface through satellite or aerial imagery, while GIS enables the storage, manipulation, analysis, and visualization of spatial data. The integration of these two technologies enhances the capacity to model complex spatial phenomena and supports informed decision-making. Several methods exist for effectively combining RS and GIS, which can be broadly categorized into data-level integration, feature-level integration, and decision-level integration. Data-level integration involves the direct use of remotely sensed data within GIS platforms. This ________ __________ ________ ______ _________ ______ ____ ____ ________ ____ ____.
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