There are some details, each wavelength will travel at a slightly different speed through the fiber due to waveguide dispersion and material dispersion.

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In a word, multispectral and hyperspectral play their unique roles in some industries, including agriculture. Agribusinesses can adapt to their needs when using multispectral or hyperspectral. Both are very helpful for agribusiness to analyze the process of determining agricultural land , the quality of vegetables and fruit, the level of water pollution, and reaching inaccessible human areas.

Multispectral imagery is imagery that captures reflectance across multiple bands of the electromagnetic spectrum. Multispectral imagery collects data from numerous spectral bands across the electromagnetic spectrum. It typically has 5 to 10 bands such as red, green, and blue (RGB) to create a color image. In addition, the most common multispectral sensors collect data in the visible, near-infrared, and shortwave infrared bands.

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Hyperspectral imagery can be used to map tree species within the forest. Likewise, it has advantages in some aspects, such as:

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Most people have well-known multispectral imagery for mapping vegetation health and vigor, forested areas, estimating crop biomass and yield, and classifying surfaces. Moreover, it is also beneficial for:

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If instead you have incoherent light, rather than having nice electromagnetic modes to propagate, it is a little different. For example you wouldn’t get much light into the single mode optical fiber. But you could do something like put two apertures separated by a distance and have a roughly collimated light. The diffraction angle will depend slightly on the wavelength, but could still put a lens or set of lenses to expand or focus the light or to collimate the light. Same as before the chromatic aberration of the lenses and type of lenses can matter some, but big picture it would work.

Before collimating, the beam will have diverged a bit to a radius of 5cm, the range of the wavelengths is 1400-1600nm and I don't want to lose more than 30% of initial power.

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I'm asking in general how to collimate it, but my idea was use a parabolic mirror, then focus all wavelengths into a very short optical fiber, then get the light back into vacuum. Would this work? Is there a better way?

Study vegetation and agricultural production trends and cycles. Analyze water and environmental quality, soils, geology, and other earth resources. Collect data from dangerous and inaccessible areas. Map and monitor algal blooms in coastal waters.

Good lasers have Gaussian beams. Gaussian beams are never perfectly collimated, but larger diameter beams have a small beam divergence. To get a larger diameter beam, use a beam expander.

Collimating lens

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High Reflection CoatingHigh reflection (HR) coatings are optical coatings designed to reflect as much light as possible from a surface.

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Distinguishing the earth's surface features. Trace seed viability by plotting the reflectance spectrum. Tracking surface CO2 emissions and map hydrological formations and pollution levels. Bruise detection in apples, the freshness of the fish, citrus fruit inspection, distribution of sugar in melons, and sorting of potatoes.

Aerial imagery is a collection of captured and recorded images from above. It allows agribusiness to see otherwise impossible things, such as the layout of crops and land use. Aerial imagery has many benefits, such as planning for future needs and reducing the amount of land for farming, which helps our environment and economy reduce input needs. There are two types of aerial imagery: multispectral and hyperspectral. Multispectral and hyperspectral imagery both have their agricultural functions. They each have their own set of advantages and disadvantages. Equally important, it is essential to understand the difference between multispectral and hyperspectral imagery. It prevents you from getting inaccurate crop mapping results.

But in the big picture, if you start out with a nice beam, you can usually use a lens or a set of lenses to collimate the beam, and each wavelength can be treated as a slightly different problem.

How to collimate a divergingbeam of light

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Each wavelength will have a little bit of chromatic dispersion due to the lens, unless you choose to use a special lens.

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Agriculture is a rapidly growing industry. So the industry needs to keep innovating to support and optimize the agribusiness process. Sensors for aerial imagery have a massive role in several technologies used for agriculture. Agribusiness has long used sensors to assist agricultural operations such as spraying, mapping, and planting. To find out how the sensor works in spraying, you can read the article here. This article will describe what difference between multispectral and hyperspectral imagery. Then, why is aerial imagery vital for agriculture.

For wavelength division multiplexing your 100 different wavelengths could each be produced by an individual laser. They could then be sent through a single mode optical fiber and then your could collect the light coming out of the optical fiber. That ligh does each wavelength will be fairly nice almost Gaussian spot that will diverge. You could put a collimating lens where the spot is 5 mm and get a collimated beam. It would act pretty much like a Gaussian beam.

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Hyperspectral imagery (HSI) captures reflectance across a continuous range of wavelengths, providing a more acceptable level of spectral resolution. Hyperspectral imaging collects data over a broader range of wavelengths, including invisible and short-wavelength infrared regions. It usually has hundreds or more bands. Sensors can tune to specific fields of wavelengths depending on the application. Hence, it gives HSI a much higher level of spectral resolution, allowing it to identify and measure objects' chemical composition in great detail.

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