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Airborne imaging sensors for environmental monitoring and surveillance in support of oil spills and recovery efforts
Bostater, C.R.; Jones, J.; Frystacky, H.; Coppin, G.; Leavaux, F.; Neyt, X. (2011). Airborne imaging sensors for environmental monitoring and surveillance in support of oil spills and recovery efforts, in: Bostater, C.R. et al. (Ed.) Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, 21-22 September 2011, Prague, Czech Republic. Proceedings of SPIE, the International Society for Optical Engineering, 8175: pp. 20 pp. hdl.handle.net/10.1117/12.901231
In: Bostater, C.R. et al. (Ed.) (2011). Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, 21-22 September 2011, Prague, Czech Republic. Proceedings of SPIE, the International Society for Optical Engineering, 8175. SPIE: Bellingham. ISBN 978-0-819-4880-2-2. 472 pp., more
In: Proceedings of SPIE, the International Society for Optical Engineering. SPIE: Bellingham, WA. ISSN 0277-786X, more
Peer reviewed article  

Available in Authors 
    VLIZ: Open Repository 295202 [ OMA ]

Keywords
    Calibration; Data fusion; Image analysis; Image contrast; Oil spills; Radiative transfer; Marine
Author keywords
    Submerged targets; Hydrologic optics; Airbone sensors; Airbone imagery; Hyperspectral sensing; Multispectral imagery; Subsurface feature extraction

Authors  Top 
  • Bostater, C.R.
  • Jones, J.
  • Frystacky, H.
  • Coppin, G.
  • Leavaux, F.
  • Neyt, X., more

Abstract
    Collection of pushbroom sensor imagery from a mobile platform requires corrections using inertial measurement units (IMU's) and DGPS in order to create useable imagery for environmental monitoring and surveillance of shorelines in freshwater systems, coastal littoral zones and harbor areas. This paper describes a suite of imaging systems used during collection of hyperspectral imagery in northern Florida panhandle and Gulf of Mexico airborne missions to detect weathered oil in coastal littoral zones. Underlying concepts of pushbroom imagery, the needed corrections for directional changes using DGPS and corrections for platform yaw, pitch, and roll using IMU data is described as well as the development and application of optimal band and spectral regions associated with weathered oil. Pushbroom sensor and frame camera data collected in response to the recent Gulf of Mexico oil spill disaster is presented as the scenario documenting environmental monitoring and surveillance techniques using mobile sensing platforms. Data was acquired during the months of February, March, April and May of 2011. The low altitude airborne systems include a temperature stabilized hyperspectral imaging system capable of up to 1024 spectral channels and 1376 spatial across track pixels flown from 3,000 to 4,500 feet altitudes. The hyperspectral imaging system is collocated with a full resolution high definition video recorder for simultaneous HD video imagery, a 12.3 megapixel digital, a mapping camera using 9 inch film types that yields scanned aerial imagery with approximately 22,200 by 22,200 pixel multispectral imagery (~255 megapixel RGB multispectral images in order to conduct for spectral-spatial sharpening of fused multispectral, hyperspectral imagery. Two high spectral (252 channels) and radiometric sensitivity solid state spectrographs are used for collecting upwelling radiance (sub-meter pixels) with downwelling irradiance fiber optic attachment. These sensors are utilized for cross calibration and independent acquisition of ground or water reflectance signatures and for calculation of the bi-directional reflectance distribution function (BRDF). Methods are demonstrated for selecting optimal spectral regions and bands for discrimination, detection and characterization of weathered oil in the Northern Gulf of Mexico waters and littoral zones in response to the Deepwater Horizon oil spill disaster. The techniques allow for the use of sun and sky glint regions in imagery to identify water surface wave field characteristics as well as oil slicks. The systems described provide unique data sets for remote sensing algorithm development and future testing of radiative transfer models useful in studying weathered oil fate, distribution and extent.

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