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RSS FeedsRemote Sensing, Vol. 11, Pages 2705: Analysis of the Optimal Wavelength for Oceanographic Lidar at the Global Scale Based on the Inherent Optical Properties of Water (Remote Sensing)

 
 

19 november 2019 18:03:26

 
Remote Sensing, Vol. 11, Pages 2705: Analysis of the Optimal Wavelength for Oceanographic Lidar at the Global Scale Based on the Inherent Optical Properties of Water (Remote Sensing)
 


Understanding the optimal wavelength for detecting the water column profile from a light detection and ranging (lidar) system is important in the design of oceanographic lidar systems. In this research, the optimal wavelength for detecting the water column profile using a lidar system at the global scale was analyzed based on the inherent optical properties of water. In addition, assuming that the lidar system had a premium detection characteristic in its hardware design, the maximum detectable depth using the established optimal wavelength was analyzed and compared with the mixed layer depth measured by Argo data at the global scale. The conclusions drawn are as follows: first, the optimal wavelengths for the lidar system are between the blue and green bands. For the open ocean, the optimal wavelengths are between 420 and 510 nm, and for coastal waters, the optimal wavelengths are between 520 and 580 nm. To obtain the best detection ability using a lidar system, the best configuration is to use a lidar system with multiple bands. In addition, a 490 nm wavelength is recommended when an oceanographic lidar system is used at the global scale with a single wavelength. Second, for the recommended 490 nm band, a lidar system with the 4 attenuating length detection ability can penetrate the mixed layer for 80% of global waters.


 
251 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 2706: Assessment of Portable Chlorophyll Meters for Measuring Crop Leaf Chlorophyll Concentration (Remote Sensing)
Remote Sensing, Vol. 11, Pages 2704: Victim Localization in USAR Scenario Exploiting Multi-Layer Mapping Structure (Remote Sensing)
 
 
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