Proceedings Article10.1117/12.851989
A constrained optimization technique for estimating environmental parameters from CZMIL hyperspectral and lidar data
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TL;DR: In this article, a combined atmospheric-oceanographic spectral optimization solution was developed to decompose measured airborne radiance data from the passive spectrometer into environmental parameters of interest, where depth measurements from the lidar were held as fixed constraints, thereby gaining a degree of freedom in the solution.
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Abstract: We have developed a combined atmospheric-oceanographic spectral optimization solution decomposing measured
airborne radiance data from the passive spectrometer into environmental parameters of interest. In this model, we hold
depth measurements from the lidar as fixed constraints, thereby gaining a degree of freedom in the solution, and
extending the solution into deeper waters than achieved with passive data alone. In this paper, we illustrate results of the
data processing procedure and assess the accuracy of estimated IOPs (Inherent Optical Properties) parameters through
comparison to in-situ measurements.
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Citations
Overview of the coastal zone mapping and imaging lidar (CZMIL): a new multisensor airborne mapping system for the U.S. Army Corps of Engineers
TL;DR: CZMIL as mentioned in this paper is a new airborne mapping and imaging system designed to simultaneously produce high resolution 3D images of the beach and shallow water seafloor, and to achieve benthic classification and water column characterization.
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CZMIL (coastal zone mapping and imaging lidar): from first flights to first mission through system validation
Viktor Feygels,Joong Yong Park,Jennifer M. Wozencraft,Jennifer Aitken,Christopher L. Macon,A. Mathur,Andy Payment,Vinod Ramnath +7 more
TL;DR: CZMIL as discussed by the authors is an integrated lidar-imagery system and software suite designed for highly automated generation of physical and environmental information products for coastal zone mapping in the framework of the US Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP).
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A review of U.S. Army Corps of Engineers airborne coastal mapping in the Great Lakes
Molly K. Reif,Jennifer M. Wozencraft,Lauren M. Dunkin,Charlene Sylvester,Christopher L. Macon +4 more
TL;DR: The U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) collected its first airborne coastal mapping data on the Great Lakes in 1995.
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Remote Sensing for Inland Water Quality Monitoring: A U.S. Army Corps of Engineers Perspective
Molly Reif
- 01 Oct 2011
TL;DR: In this paper, the primary strength of remote sensing over traditional techniques includes the ability to provide a synoptic view of water quality for more effective monitoring of spatial and temporal variation.
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Active-passive data fusion algorithms for seafloor imaging and classification from CZMIL data
Joong Yong Park,Vinod Ramnath,Viktor Feygels,Minsu Kim,A. Mathur,Jennifer Aitken,Grady Tuell +6 more
TL;DR: In this article, the seafloor reflectance images from each sensor are combined at a higher level to achieve seafladoor classification. But, the spectral optimization of the passive spectral data is not considered.
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References
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TL;DR: The results suggest that the model and method used in this study, which do not require in situ calibration measurements, perform very well in retrieving in-water optical properties and bottom depths from above-surface hyperspectral measurements.
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TL;DR: In this paper, a nonlinear statistical method for the inversion of ocean color spectra is used to determine three inherent optical properties (IOPs), the absorption coefficients for phytoplankton and dissolved and detrital materials, and the backscattering coefficient due to particulates.
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