Situation and prospect of light and miniature UAV-borne LiDAR

Xie, Tao; Zhu, Jingguo; Jiang, Chenghao; Jiang, Yan; Guo, Wei; Wang, Chunxiao; Liu, Ruqing

doi:10.1117/12.2548426

Cited by 4 publications

(6 citation statements)

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“…The on-line and off-line wavelength optimization is very important to minimize the expected error for the IPDA lidar system. Xie et al [39] investigated the sensitivity of the measurement error of CO 2 column concentration versus wavelength in terms of both random and systematic errors, where the wavelength optimization was carried out to minimize the total error of the lidar system to detect CO 2 column concentration. As the inversion principle of CH 4 is similar to that of CO 2 [38], therefore, a similar optimization algorithm has been employed in this paper to optimize the on-line and off-line wavelengths.…”

Section: On-line and Off-line Wavelength Optimizationmentioning

confidence: 99%

“…Bousquet and Ehret et al [35,38] have carried out error budgeting for methane gas measurement from the perspective of random and systematic errors. Xie et al [39] have proposed a wavelength optimization model of IPDA lidar systems for CO 2 detection. The MERLIN team, the first international developer of a methane detection satellite lidar, has also estimated methane detection errors for different regions of the world, where Kiemle et al have evaluated the entire IPDA system performance and has studied the sensitivity for MERLIN [40,41], resulting in better detection accuracy than the GOSAT passive remote sensing satellite [35].…”

Section: Introductionmentioning

confidence: 99%

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Simulation and Error Analysis of Methane Detection Globally Using Spaceborne IPDA Lidar

Zhang,

et al. 2023

Remote Sensing

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Methane (CH4) is recognized as the second most important greenhouse gas. An accurate and precise monitoring of methane gas globally has a vital role in studying the carbon cycle and global warming. The spaceborne integrated path differential absorption (IPDA) lidar is one of the most effective payload for methane detection. The simulation and optimization of the lidar system parameters can create an important base for the development of spaceborne payloads. However, previous IPDA lidar simulations have mostly used standard atmospheric models at simulation conditions, and to the best of our knowledge, there is no literature yet which applies a wavelength optimization to the IPDA system. In this study, we have investigated the relationship between the IPDA lidar system, based on wavelength optimization, and error measurement for CH4 column-averaged concentration. By selecting the wavelengths with the lowest comprehensive error as on-line and off-line, the error has been minimized by 10 ppb approximately relative to before optimization. We have proposed an IPDA simulation model at real atmospheric conditions, combining with ERA-5 reanalysis data, to simulate methane concentration globally, and present the distribution of errors. Finally, after the optimization of the lidar system parameters, we have ensured that the maximum inversion error for CH4 measurement is less than 10 ppb, to provide a reference for designing spaceborne IPDA lidar systems for high-precision CH4 column-averaged concentration detection.

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Section: On-line and Off-line Wavelength Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation and Error Analysis of Methane Detection Globally Using Spaceborne IPDA Lidar

Zhang,

et al. 2023

Remote Sensing

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“…However, since the UAV can be operated at a very low flight speed with great overlap between the tracks and variable flight altitude, the resulting sample point density can be very high (~250 points/m 2 ). Another feature is the wide scanning angle of the small field of view (FOV) of LiDAR RIEGL VUX-1UAV [128]. 2D-4 D geomorphic characteristics such as the walls of mountains, micro-morphological structures and textures, landslide mapping or the monitoring of soil erosions can be sampled with a high density of pulses [129].…”

Section: Lidar and Radar Altimetersmentioning

confidence: 99%

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Lausch

Schaepman

Skidmore³

et al. 2020

Remote Sensing

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The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geodiversity, but also to preserve biodiversity, as well as to improve biodiversity conservation and ecosystem management. Numerous remote sensing (RS) approaches and platforms have been used in the past to enable a cost-effective, increasingly freely available, comprehensive, repetitive, standardized, and objective monitoring of geomorphological characteristics and their traits. This contribution provides a state-of-the-art review for the RS-based monitoring of these characteristics and traits, by presenting examples of aeolian, fluvial, and coastal landforms. Different examples for monitoring geomorphology as a crucial discipline of geodiversity using RS are provided, discussing the implementation of RS technologies such as LiDAR, RADAR, as well as multi-spectral and hyperspectral sensor technologies. Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced. The use of spectral traits (ST) and spectral trait variation (STV) approaches with RS enable the status, changes, and disturbances of geomorphic diversity to be monitored. We focus on the requirements for future geomorphology monitoring specifically aimed at overcoming some key limitations of ecological modeling, namely: the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems. This paper aims to impart multidimensional geomorphic information obtained by RS for improved utilization in biodiversity monitoring.

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“…Temporal resolutions as low as just a few ps have been demonstrated using single photon superconducting nanowires detectors (SNSPDs) 8 , with commercial solutions offering ~40 ps resolution 9 . Although this technology allows for unprecedented levels of performance, they required cryogenic cooling which makes their footprint prohibitively high for important applications such as for sensing and LiDAR applications from unmanned aerial vehicles (UAVs) 10 , for energy efficient centers for future quantum communications 11 , or for practical medical applications in care facilities 6,12 . For such applications, there has been notable advances in the development of low energy consumption and compact single-photon detector, namely through integrated and on-chip solutions based on single photon avalanched detectors (SPADs) 13,14 .…”

Section: Introductionmentioning

confidence: 99%

High-resolution electro-optic sampling of biphoton states

Crockett¹,

Howe²,

Montaut³

et al. 2023

Quantum Sensing, Imaging, and Precision Metrology

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High temporal resolution detection for time-correlated single-photon counting (TCSPC) is critical for a broad range of applications, such as sensing, bio-imaging and quantum information. To harness non-classical advantages, high temporal resolution TCSPC is necessary to capture the unique properties of quantum entanglement, in which the precise time delays between two photons are used to reconstruct the biphoton distribution. However, current state-of-the art, high-resolution TCSPC systems, such as superconducting nanowires, have large footprints and require cryogenic cooling to liquid helium temperatures. They are not well equipped to be conveniently mounted on a satellite or transported within a health care facility. Small footprint, simple, low energy consuming single photon detection systems are therefore needed in order for high temporal resolution TCSPC applications to move beyond the research laboratory.In this direction, we demonstrate a proof-of-concept experiment for improving the temporal resolution of single-photon and biphoton detection schemes that is simple, fiber-based, and readily chip integrable. The principle relies on electrooptic gating of fast single-photon and biphoton signals using a high-speed RF pulse which drives an electro optic intensity modulator. As such, the instrument response function (IRF) of the detection scheme takes on the temporal profile of the electro-optic gate. Experimentally, we improve the IRF of our detection scheme from ~1.54 ns to <100 ps, allowing high resolution detection of ultrafast single photon TCSPC signals as well as to observe nonlocal dispersion cancellation effects in ultrafast biphoton distributions. This technique could allow for practical and simplified access to rapid temporal dynamics at the single photon scale.

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Situation and prospect of light and miniature UAV-borne LiDAR

Cited by 4 publications

References 0 publications

Simulation and Error Analysis of Methane Detection Globally Using Spaceborne IPDA Lidar

Simulation and Error Analysis of Methane Detection Globally Using Spaceborne IPDA Lidar

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

High-resolution electro-optic sampling of biphoton states

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