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Imaging that records separate bands of light to reveal differences that may be less apparent in an ordinary colour picture.
Save conceptMultispectral imaging records light in several selected wavelength ranges, called bands. An ordinary colour picture is familiar because it represents visible colours. A multispectral sensor can also record information outside those familiar colours. Separating the measurements lets an analyst examine differences between surfaces rather than relying only on the appearance of a photograph.
The sensor records each band separately. Processing can combine the observations into images or indicators suited to a particular question. Vegetation work may compare the way leaves reflect different bands. Calibration and lighting matter because a change in recorded light can reflect the measurement conditions as well as a change in the plants.
Suppose a forestry team surveys two nearby areas using the same procedure. A processed image shows a difference in their spectral response. Staff investigate whether the pattern corresponds to vegetation condition, land cover or another factor and visit selected locations to check their interpretation. The image helps direct attention; this example does not establish actual damage or a current forest-health measurement.
Multispectral imaging is not the same as measuring height with laser surveying. It describes recorded light in selected bands, while distance measurements support terrain and canopy geometry. A spectral pattern alone does not establish its cause. The sensor’s band choices, the survey conditions and other observations determine which conclusions are justified.
Jamaica adds drone surveys and a unified system for forest recovery