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Nilanjan Bhowmick AIR 3, CSIR NET (Earth Science)
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What are hyperspectral and multipectral in remote sensing ? and difference between them
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Sajan sarthak Best Answer
Multispectral sensors usually have between 3 and 10 different band measurements in each pixel of the images they produce. Examples of bands in these sensors typically include visible green, visible red, near infrared, etc. Landsat, Quickbird, and Spot satellites are well-known satellite sensors that use multispectral sensors. Hyperspectral sensors measure energy in narrower and more numerous bands than multispectralsensors. Hyperspectral images can contain as many as 200 (or more) contiguous spectral bands. The numerous narrow bands of hyperspectral sensors provide a continuous spectral measurement across the entire electromagnetic spectrum and therefore are more sensitive to subtle variations in reflected energy. Images produced from hyperspectral sensors contain much more data than images from multispectral sensors and have a greater potential to detect differences among land and water features. For example, multispectral imagery can be used to map forested areas, while hyperspectral imagery can be used to map tree species within the forest
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Rahul kumar![best-answer]()
Hyperspectral remote sensing combines imaging and spectroscopy in a single system which includes large data sets and require new processing methods. Hyperspectral data sets are generally composed of about 100 to 200 spectral bands of relatively narrow bandwidths (5-10 nm). Multispectral remote sensing involves the acquisition of visible, near infrared, and short-wave infrared images in several broad wavelength bands. Different materials reflect and absorb different wavelengths by different amounts. Refer to the attached figure for comparison between hyperspectral and multispectral remote sensing.