Multi-spectral imagery refers to the data that is gathered through sensors capable of capturing images in different wavelengths of electromagnetic radiation. This wide array of data can be used to analyze and interpret various aspects of the Earth's surface. There are several synonyms for multi-spectral imagery, including hyperspectral imagery, spectral imaging, and multispectral remote sensing. Hyperspectral imagery refers to the capture of radiation at hundreds of contiguous wavelengths, whereas spectral imaging collects data at a smaller number of predetermined wavelengths. Multispectral remote sensing uses several sensors to collect data at different wavelengths simultaneously, providing a comprehensive view of the surface being analyzed. Despite their subtle differences, these terms all refer to the same fundamental idea of collecting and analyzing data across multiple wavelengths of the electromagnetic spectrum.