Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Fengnian Zhou"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 656-674 (2023)
Ocean–land waveform classification (OLWC) is crucial in airborne LiDAR bathymetry (ALB) data processing and can be used for ocean–land discrimination and waterline extraction. However, the accuracy of OLWC for single-wavelength ALB systems is low
Externí odkaz:
https://doaj.org/article/cb2416b58c714a75882bbbec54914ce2
Autor:
Zhongda Ren, Chuanjie Liu, Yafei Ou, Peng Zhang, Heshan Fan, Xiaolong Zhao, Heqin Cheng, Lizhi Teng, Ming Tang, Fengnian Zhou
Publikováno v:
Water, Vol 16, Iss 1, p 146 (2023)
Effectively simulating the variation in suspended sediment concentration (SSC) in estuaries during typhoons is significant for the water quality and ecological conditions of estuarine shoal wetlands and their adjacent coastal waters. During typhoons,
Externí odkaz:
https://doaj.org/article/352f1f6fa4c44d53a2505c3134727db8
Publikováno v:
Sensors, Vol 22, Iss 24, p 10005 (2022)
In addition to depth measurements, airborne LiDAR bathymetry (ALB) has shown usefulness in suspended sediment concentration (SSC) inversion. However, SSC retrieval using ALB based on waveform decomposition or near-water-surface penetration by green l
Externí odkaz:
https://doaj.org/article/aa603028335e46ddbd8f073a15f2fce6
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3628 (2021)
The discrimination of water–land waveforms is a critical step in the processing of airborne topobathy LiDAR data. Waveform features, such as the amplitudes of the infrared (IR) laser waveforms of airborne LiDAR, have been used in identifying water
Externí odkaz:
https://doaj.org/article/76970d376b8e40f9b9d620829c3e7380
Autor:
Haifei Yang, Bochang Li, Chaoyang Zhang, Hongjie Qiao, Yuting Liu, Junfang Bi, Zhilin Zhang, Fengnian Zhou
Publikováno v:
Water, Vol 12, Iss 3, p 818 (2020)
Water and sediment are two of the most essential elements in estuaries. Their product, suspended sediment concentration (SSC), is involved in hydrology, geomorphology and ecology. This study was focused on the spatial and temporal variations of SSC i
Externí odkaz:
https://doaj.org/article/778a7e2d643b4ae58230aca69ff4faef
Publikováno v:
Remote Sensing, Vol 10, Iss 5, p 681 (2018)
Suspended sediment concentrations (SSCs) have been retrieved accurately and effectively through waveform methods by using green-pulse waveforms of airborne LiDAR bathymetry (ALB). However, the waveform data are commonly difficult to analyze. Thus, th
Externí odkaz:
https://doaj.org/article/19b07d9136eb470db62b76c665bac49c
Publikováno v:
Remote Sensing, Vol 10, Iss 2, p 247 (2018)
Airborne LiDAR bathymetry (ALB) has been shown to have the ability to retrieve water turbidity using the waveform parameters (i.e., slopes and amplitudes) of volume backscatter returns. However, directly and accurately extracting the parameters of vo
Externí odkaz:
https://doaj.org/article/2ba0eea867cf40d080636524e755e264
Publikováno v:
Remote Sensing, Vol 9, Iss 7, p 710 (2017)
Airborne LiDAR bathymetry (ALB) is efficient and cost effective in obtaining shallow water topography, but often produces a low-accuracy sounding solution due to the effects of ALB measurements and ocean hydrological parameters. In bathymetry estimat
Externí odkaz:
https://doaj.org/article/022fc9ef9bb44553b7263be81b5d817e
Publikováno v:
Remote Sensing, Vol 9, Iss 5, p 426 (2017)
To reduce the size and cost of an integrated infrared (IR) and green airborne LiDAR bathymetry (ALB) system, and improve the accuracy of the green ALB system, this study proposes a method to accurately determine water surface and water bottom heights
Externí odkaz:
https://doaj.org/article/180bde5a19f54b438401df81df8e2970
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5