Conceptual Structure of Raster Data in Remote Sensing

This diagram provides a visual explanation of the fundamental architecture of raster data used in remote sensing and Geographic Information Systems (GIS). It illustrates how satellite and aerial imagery are organized into a grid of rows (i) and columns (j), where each pixel represents a discrete spatial location.Key features of the visualization include:Multispectral Representation: A 3D stack showing multiple spectral bands (k), demonstrating how digital numbers (Brightness Values) are recorded across different wavelengths for the same spatial coordinate.Pixel Intensity Scale: A reference bar showing the relationship between numerical values (0–265) and visual brightness, ranging from dark to bright.Mathematical Notation: Defines a pixel as a function of spatial position and spectral band, expressed as BV(i, j, k).This resource is part of the educational outreach by MappingAround.in to simplify complex geospatial concepts for students and researchers.