The lidar equation for ocean at optical wavelengths including subsurface signals is revisited using the recent work of the radiative transfer and ocean color community for passive measurements. The previous form of the specular and subsurface echo term are corrected from their heritage, which originated from passive remote sensing of whitecaps, and is improved for more accurate use in future lidar research. A corrected expression for specular and subsurface lidar return is presented. The previous formalism does not correctly address angular dependency of specular lidar return and overestimates the subsurface term by a factor ranging from 89% to 194% for a nadir pointing lidar. Suggestions for future improvements to the lidar equation are also presented.
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http://dx.doi.org/10.1364/OE.18.020862 | DOI Listing |
Accurately measuring inherent optical properties (IOPs) in water is fundamental for characterizing light transmission in aquatic environments and advancing our understanding of biogeochemical processes. Lidar, with its capability for continuous day-and-night observations and strong water penetration, holds great potential for detecting optical parameters in water. However, ocean lidar faces challenges in addressing ill-posed equations and mitigating the effects of multiple scattering when detecting IOPs.
View Article and Find Full Text PDFSensors (Basel)
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Department of Civil Engineering and Engineering Management, National Quemoy University, Kinmen 89250, Taiwan.
Ground-based LiDAR technology has been widely applied in various fields for acquiring 3D point cloud data, including spatial coordinates, digital color information, and laser reflectance intensities (I-values). These datasets preserve the digital information of scanned objects, supporting value-added applications. However, raw point cloud data visually represent spatial features but lack attribute information, posing challenges for automated object classification and effective management.
View Article and Find Full Text PDFForest canopy complexity (i.e., the three-dimensional structure of the canopy) is often associated with increased species diversity as well as high primary productivity across natural forests.
View Article and Find Full Text PDFSensors (Basel)
November 2024
College of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China.
Quadruped robots possess significant mobility in complex and uneven terrains due to their outstanding stability and flexibility, making them highly suitable in rescue missions, environmental monitoring, and smart agriculture. With the increasing use of quadruped robots in more demanding scenarios, ensuring accurate and stable state estimation in complex environments has become particularly important. Existing state estimation algorithms relying on multi-sensor fusion, such as those using IMU, LiDAR, and visual data, often face challenges on non-stationary terrains due to issues like foot-end slippage or unstable contact, leading to significant state drift.
View Article and Find Full Text PDFSpaceborne resonance fluorescence Doppler lidar uses metal atoms as tracers to detect atmospheric temperature, wind speed, and metal atom number density from the top of the mesosphere to the bottom of the thermosphere in the global atmosphere. This study proposes a concept of spaceborne Fe resonance fluorescence Doppler lidar (spaceborne Fe lidar). To theoretically analyze the feasibility of this technology, key parameters of the lidar were designed.
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