PROCEEDINGS ARTICLE | October 15, 2012
Proc. SPIE. 8515, Imaging Spectrometry XVII
KEYWORDS: Cameras, LIDAR, Sensors, Spectroscopy, Ultraviolet radiation, Luminescence, Raman spectroscopy, Head, Indium oxide, Absorption
Remote sensing or stand-off detection using controlled light sources is a well known and often used technique for
atmospheric and surface spatial mapping. Today, ground based, vehicle-borne and airborne systems are able to cover
large areas with high accuracy and good reliability. This kind of detection based on LiDAR (Light Detection and
Ranging) or active Differential Optical Absorption Spectroscopy (DOAS) technologies, measures optical responses from
controlled illumination of targets. Properties that can be recorded include volume back-scattering, surface reflectivity,
molecular absorption, induced fluorescence and Raman scattering. The various elastic and inelastic backscattering
responses allow the identification or characterization of content of the target volumes or surfaces. INO has developed
instrumentations to measure distance to solid targets and monitor particles suspended in the air or in water in real time.
Our full waveform LiDAR system is designed for use in numerous applications in environmental or process monitoring
such as dust detection systems, aerosol (pesticide) drift monitoring, liquid level sensing or underwater bathymetric
LiDARs. Our gated imaging developments are used as aids in visibility enhancement or in remote sensing spectroscopy.
Furthermore, when coupled with a spectrograph having a large number of channels, the technique becomes active
multispectral/hyperspectral detection or imaging allowing measurement of ultra-violet laser induced fluorescence (UV
LIF), time resolved fluorescence (in the ns to ms range) as well as gated Raman spectroscopy. These latter techniques
make possible the stand-off detection of bio-aerosols, drugs, explosives as well as the identification of mineral content
for geological survey. This paper reviews the latest technology developments in active remote sensing at INO and
presents on-going projects conducted to address future applications in environmental monitoring.
