Lauren-Marie Charisse

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Near Infrared (NIR) is one of the imaging techniques available when using Digital Multi-Spectral Imagery (DMSI).

The usual deliverables from a sortie gathering NIR data would be a Plant Cell Density (PCD) image and a False colour image. A true colour image is also generated from the data. One of the most powerful tools to be used in NIR data is a Change Detection image which is generated once subsequent data collection passes are made and a later and earlier PCD image are statistically subtracted from each other to show the change in vegetation biomass in the time period between passes.

Digital Multi-Spectral Imagery (DMSI) is image data of the same scene recorded simultaneously through 4 narrow spectral bands. The Digital Multi-Spectral Camera (DMSC) system integrates 4 individual, high quality, pixel digital imaging devices (CCDs) capable of measuring ground reflectance at high resolution (0.5metre – 2metre) and high sensitivity within visible and near-infrared wavelengths.

The DMSC has been specifically designed for low cost multi-spectral remote sensing of vegetation. From flight planning to image acquisition the system has been developed to take advantage of high solar angles and ground feature illumination without incurring reflectance artefacts usually associated with solar hotspot and the Bidirectional Reflectance Distribution Function

The DMSI narrow band-pass filters are easily interchanged for specific applications, however the 4 spectral bands utilised for vegetation mapping and monitoring are 20 nanometres wide and centred about the principal reflectance spectra features of vegetation;

DMSI Spectral Band and VegetationReflectance feature

All airborne imagery acquired for the purpose of spectral analysis requires correction for camera distortion and scene brightness effects. Five years of research and development has seen the development of proprietary software that is capable of minimising these effects to allow the consistent and reliable production of high quality seamless mosaics while maintaining the overall spectral integrity of the raw imagery. The software runs in batch mode across entire data sets and requires no user intervention.

The two major effects and the correction techniques are detailed below;