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Spectral signatures represent the unique pattern of reflectance or emittance of electromagnetic energy by different surface materials, which allows remote sensing technologies to identify and classify various land use and land cover (LULC) types. These signatures are influenced by multiple factors that affect the accuracy and reliability of LULC mapping using geoinformatics tools. One of the primary factors is the intrinsic properties of the surface material itself. Vegetation type, soil composition, water bodies, and built-up areas each have distinct spectral responses. For example, healthy vegetation shows high reflectance in the near-infrared (NIR) region due to chlorophyll absorption in the visible spectrum, whereas bare soil exhibits higher reflectance in the red and shortwave infrared (SWIR) bands depending on its mineral content. Similarly, water absorbs most visible and NIR radiation, appearing dark in satellite ____ ___ ____ _____ ____ ____ ____ __________ ______.
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