“Measurement is the first step that leads to control and eventually to improvement. If you can’t measure something, you can’t understand it. If you can’t understand it, you can’t control it. If you can’t control it, you can’t improve it.”

(H. James Harrington)

Since the agricultural revolution more than 10,000 years ago, humans have increasingly sought ways to manage and improve our local and global environments. In the modern world we have become increasingly dependent on the ability to control, or at the very least understand – for purposes of commerce, safety and security, and science – our environment and our impact/interaction with it. This includes a desire for increased understanding of natural and manmade or influenced phenomena such as forest fires, lightning, atmospheric constituents (clouds and aerosols), weather (storms), ocean temperatures/currents, forests and deforestation, crops/surface cover and albedo, sea ice, and oil spills. An improved ability to manage or understand these phenomena is critical to ensuring that we maintain a healthy planet capable of sustaining humanity as part of its diverse bio-mass. But understanding these phenomena and how they are changing over time requires measurement.

Table 1. Examples of EO missions employing optical instruments [2]


The view from outside often provides unique insights into an environment as it can be extraordinarily difficult to objectively observe a system from within. Once the ability to “slip the surly bonds of earth”[1] was established in the 1960s, it quickly became a race for government-sponsored space agencies to exploit the ability to observe our earth from above by deploying satellites with capabilities for earth observation (EO). From the first space-based multispectral imager (MSI), Landsat-1, launched by NASA in 1972, to the ESA’s Sentinel-2B – “Europe’s eyes on earth” – launched in 2017, to the planned GCOM-C launch from JAXA, Table 1 illustrates just a few examples of the different optical EO instruments deployed to date.

However, observation from orbit has presented its own set of challenges and associated solutions:

  • CHALLENGE: see through the atmosphere (clouds/aerosols) or in some cases observe only these atmospheric constituents or phenomena

  • SOLUTION: wavelength selective imaging

  • CHALLENGE: observe small signals in a large background scene

  • SOLUTION: large, highly uniform collection optics

  • CHALLENGE: pack as much measurement capability into as small and lightweight a package as possible to reduce launch costs

  • SOLUTION: compact/multi-spectral imaging

  • CHALLENGE: determine the type of phenomena (“what”) and location (“where”) under observation from a distance (eg. low earth orbit is 160-2000 km above the earth’s surface)

  • SOLUTION: combination of high spatial (“where”) and spectral (“what”) resolution

  • CHALLENGE: survive launch conditions and operate outside of earth’s protective atmospheric blanket

  • SOLUTION: robust and reliable optical components

Optical filters of different designs and formats are a key contributor to each of these solutions within photonics based EO instruments, serving as the so-called “eyes of the instruments”.

Wavelength Selective Imaging

Whether one utilizes band-pass (BPF), notch, or edge-pass designs, by their nature optical filters provide wavelength selectivity to the instruments in which they are employed. In EO systems, single selective wavelength bands are often necessary to allow observation of unique spectral characteristics representative of specific phenomena of interest. Different atmospheric and environmental constituents have different wavelength bands that are reflected, transmitted, or absorbed dependent on their chemical composition. Table 2 shows the optical bands on NASA’s Landsat 8 and how they relate to the constituents being measured.

Table 2. Landsat 8 optical bands [courtesy NASA]

By selecting optical filters with a bandpass region corresponding to the wavelength band of interest, the user can then selectively observe only the signal from the constituent or phenomena under study, gaining “more signal with less background” in their data.

Large, Highly Uniform Collection Optics

If the constituent of interest has spectral bands that are very narrow or are in close spectral proximity to “background” bands or if the signal is a small contributor compared to the background, then large, narrow band-pass filters (NBPFs) providing enhanced wavelength selectivity may be required.

Figure 1. Spatial variation in CWL across 125mm diameter demonstrating highly uniform large NBPF

Measuring or mapping lightning from orbit is an example of an application demanding high wavelength selectivity over a large field of view. Lightning can be studied by observing a narrow atomic oxygen triplet line at 777.4nm. However, as it is uncertain as to where and when a lightning strike may occur, a large detector area is needed over which this very narrow wavelength selectivity is maintained. This requires an extremely uniform, narrow optical filter. Iridian has demonstrated the capability to produce such a NBPF centered to within 20pm of the target wavelength over an operating clear aperture >125mm in diameter.[3]

The advantage of an instrument with this precision and “field of view” must be traded off against the increased weight and cost to produce such large complex filters and the optical components used in conjunction with them.

Compact/Multi-spectral Imaging

To minimize the weight and cost per “science line” many EO imaging systems try to pack as much science into one instrument as possible by using a single detector to interrogate multiple spectral bands of interest. This multi-spectral imaging (MSI) has driven the need for filter arrays in which the spectral performance varies spatially across the part.

By using a filter with this type of construction, different pixel bands on the detector will be sensitive to different spectral bands and, therefore, different constituents or phenomena of interest.

The manufacture of multi-zone/multi-spectral filter (MZF or MSF) arrays can be achieved either via a butcher block construction, in which different filters are manufactured, singulated, and then assembled together into an array, or by patterning (via masking) different spectral bands on a monolithic substrate.

Butcher block MZF arrays provide the advantage of simplifying the coating process by avoidance of compounding coating run yields; the filter manufacturer only coats a single band on any given substrate which is the approach used for most “standard” optical filter manufacturing. Butcher block arrays can be a good choice when many (>4 or 5) bands of interest are to be studied or when the complexity of individual filter bands is high, driving increased filter coating thickness and decreased run success yields.

Patterned MZF arrays provide the possibility to create nearly any size or shape of spectral band (they don’t need to be stripes or rectangles as in a butcher block) with substantial improvement (2x or more) in the size transition zone. Pixels under the transition zone are unusable for analysis so reducing the loss of good pixels by using a patterned array can be advantageous. Additionally, coating on monolithic substrates avoids challenges associated with alignment tolerances between the different spectral bands.

High Spatial and Spectral Resolution

Greater discrimination of a “science line” can be enhanced by reducing the bandwidth of the filter associated with the band of interest. In MSI applications, this improvement in spectral resolution comes at the cost of reduced spatial resolution as this effectively shrinks the signal to noise (less total light) and the aperture size (pixels available) for any one band.

In contrast, if a broad band, panchromatic (PAN) filter spanning the entire visible spectrum is used, then the increase in total light at these pixels provides improved spatial resolution. For Landsat 8 the PAN band has twice the spatial resolution (15m versus 30m) compared to the other optical bands (see Table 2). By combining PAN along with wavelength selective bands, through “pan sharpening” an array can be used both to accurately map where a specific signal is originating and what the signal represents.