Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1423-1427, 2014
https://doi.org/10.5194/isprsarchives-XL-8-1423-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Dec 2014
Assessment of HICO data for Coastal Studies
R. B. Singh and P. Chauhan Biological and Planetary Sciences and Applications Group, EPSA Space Applications Centre, ISRO, Ahmedabad, India
Keywords: Hyperspectral, HICO, Bathymetry, Spectra, Optically Complex Water Abstract. Coastal waters, in particular, are the regions of high productivity and biodiversity. Detailed investigations of the variability within them can aid in understanding many biogeochemical processes. With the advent of hyperspectral remote sensing having large number of closely spaced channels and highly improved signal-to-noise ratio (SNR), the coastal applications are expected to increase and improve. In India, very less work is done in the field of coastal studies, let alone using hyperspectral remote sensing. HICO, onboard ISS, is the most recent addition to this family of instruments. So, a pilot study was conducted to assess HICO data for coastal studies especially in deriving the shallow water bathymetry estimates. The methodology for deriving bathymetry estimates is based on the different responses of shallow-water reflectance on depth and substrate type because with decreasing water depth in case 2 waters, the spectral contributions arriving from pure water reduce while from other OCAs increase. This variability is typically higher in the wavelength range 480 to 610 nm. Using this wavelength range, bathymetric estimates were made at pixel level. Bathymetry estimates were found to vary from 1 m to >12 m. Spectral variability is clearly observed in the continuum removed spectral plots from waters of different depths and is reported in this paper.
Conference paper (PDF, 1531 KB)


Citation: Singh, R. B. and Chauhan, P.: Assessment of HICO data for Coastal Studies, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1423-1427, https://doi.org/10.5194/isprsarchives-XL-8-1423-2014, 2014.

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