A number of institutions, including the Naval Research Laboratory (NRL), have developed look up tables for remote retrieval of bathymetry and in-water optical properties from hyperspectral imagery (HSI) . For bathymetry retrieval, the lower limit is the very shallow water case (here defined as < 2m), a depth zone which is not well resolved by many existing bathymetric LIDAR sensors, such as SHOALS . The ability to rapidly model these shallow water depths from HSI directly has potential benefits for combined HSI/LIDAR systems such as the Compact Hydrographic Airborne Rapid Total Survey (CHARTS) . In this study, we focused on the validation of a near infra-red feature, corresponding to a local minimum in absorption (and therefore a local peak in reflectance), which can be correlated directly to bathymetry with a high degree of confidence. Compared to other VNIR wavelengths, this particular near-IR feature corresponds to a peak in the correlation with depth in this very shallow water regime, and this is a spectral range where reflectance depends primarily on water depth (water absorption) and bottom type, with suspended constituents playing a secondary role.
Journal or Conference Title
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Jul 6 - Jul 11, 2008
Boston, MA, USA
Digital Object Identifier (DOI)
C. M. Bachmann et al., "Very shallow water Bathymetry retrieval from Hyperspectral imagery at the Virginia Coast reserve (VCR’07) multi-sensor campaign," IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008.