Off-Axis Four-Reflection Optical Structure for Lightweight Single-Band Bathymetric LiDAR

Zhou, Guoqing; Xu, Jiasheng; Hu, Hao; Liu, Zhexian; Zhang, Haotian; Xu, Chao; Zhou, Xiang; Yang, Jiazhi; Nong, Xueqin; Song, Bo; Song, Ningning; Gao, Ke; Xiong, Hanjiang; Zhao, Yiqiang

doi:10.1109/tgrs.2023.3298531

Cited by 15 publications

(2 citation statements)

References 53 publications

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“…On the other hand, the energetic alpha particles charged by the earthquake may raise the air conductivity via the radioactive decay of radon [58]. Furthermore, the LAIC phenomena described by numerical models of ionospheric ionization by the upward electric field over the epicenter support the findings of this work [59][60][61]. They also show the plasma flow from the epicenter as a source of increase and/or decrease in the ionospheric aspects above the epicenter.…”

Section: Discussionsupporting

confidence: 79%

Synchronized and Co-Located Ionospheric and Atmospheric Anomalies Associated with the 2023 Mw 7.8 Turkey Earthquake

Haider,

Shah,

et al. 2024

Remote Sensing

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Earth observations from remotely sensed data have a substantial impact on natural hazard surveillance, specifically for earthquakes. The rapid emergence of diverse earthquake precursors has led to the exploration of different methodologies and datasets from various satellites to understand and address the complex nature of earthquake precursors. This study presents a novel technique to detect the ionospheric and atmospheric precursors using machine learning (ML). We examine the multiple precursors of different spatiotemporal nature from satellites in the ionosphere and atmosphere related to the Turkey earthquake on 6 February 2023 (Mw 7.8), in the form of total electron content (TEC), land surface temperature (LST), sea surface temperature (SST), air pressure (AP), relative humidity (RH), outgoing longwave radiation (OLR), and air temperature (AT). As a confutation analysis, we also statistically observe datasets of atmospheric parameters for the years 2021 and 2022 in the same epicentral region and time period as the 2023 Turkey earthquake. Moreover, the aim of this study is to find a synchronized and co-located window of possible earthquake anomalies by providing more evidence with standard deviation (STDEV) and nonlinear autoregressive network with exogenous inputs (NARX) models. It is noteworthy that both the statistical and ML methods demonstrate abnormal fluctuations as precursors within 6 to 7 days before the impending earthquake over the epicenter. Furthermore, the geomagnetic anomalies in the ionosphere are detected on the ninth day after the earthquake (Kp > 4; Dst < −70 nT; ap > 50 nT). This study indicates the relevance of using multiple earthquake precursors in a synchronized window from ML methods to support the lithosphere–atmosphere–ionosphere coupling (LAIC) phenomenon.

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Section: Discussionsupporting

confidence: 79%

Synchronized and Co-Located Ionospheric and Atmospheric Anomalies Associated with the 2023 Mw 7.8 Turkey Earthquake

Haider,

Shah,

et al. 2024

Remote Sensing

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“…The unmanned surface vessels (USVs) have a multitude of applications in bathy-metric mapping [1][2][3]. A bathymetric light detection and ranging (LiDAR), named "GQ-Cormorant 19," developed by our research team has been assembled on an un-manned surface vessel (USV), named "GQ-S20," for near shore three-dimensional (3-D) bathymetric mapping [4][5][6][7][8][9]. To ensure more than 30% overlap of the neighboring cross-strips and satisfy the accuracy requirements of bathymetric mapping of the point cloud data, a path-tracking functionality (system) must be developed for autonomous USV operation under different water environments, such as lakes, reservoirs, and seas [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Development of an Adaptive Fuzzy Integral-Derivative Line-of-Sight Guidance Law for Bathymetric LiDAR Onboard USV

Zhou,

Wu,

Gao

et al. 2024

Preprint

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Previous control methods developed by our research team cannot satisfy the high-accuracy requirements of unmanned surface vessel (USV) path-tracking during bathymetric mapping because of the excessive overshoot and slow convergence speed. For this reason, this study developed an adaptive fuzzy integral-derivative line-of-sight (AFIDLOS) guidance law for USV path-tracking control. Integral and derivative terms were added to counteract the effect of the sideslip angle, with which the USV could be quickly guided to converge to the planned path for bathymetric mapping. To obtain a high-accuracy of the look-ahead distance, a fuzzy control method was proposed. The proposed method was verified using simulations and outdoor experiments. The results demonstrate that the AFIDLOS guidance law can reduce the overshoot by 79.85%, shorten the settling time by 55.32% in simulation experiments, and reduce the average cross-track error by 10.91%, and can ensure a 30% overlap of neighboring strips of bathymetric LiDAR outdoor mapping when compared with the traditional method.

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Performance of multi-source remote sensing soil moisture products over Punjab Pakistan during 2022–2023

Hassan,

Shah,

Shahzad

et al. 2024

Theor Appl Climatol

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Off-Axis Four-Reflection Optical Structure for Lightweight Single-Band Bathymetric LiDAR

Cited by 15 publications

References 53 publications

Synchronized and Co-Located Ionospheric and Atmospheric Anomalies Associated with the 2023 Mw 7.8 Turkey Earthquake

Synchronized and Co-Located Ionospheric and Atmospheric Anomalies Associated with the 2023 Mw 7.8 Turkey Earthquake

Development of an Adaptive Fuzzy Integral-Derivative Line-of-Sight Guidance Law for Bathymetric LiDAR Onboard USV

Performance of multi-source remote sensing soil moisture products over Punjab Pakistan during 2022–2023

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