干旱区生态环境知识资源中心(Arid): Multi-Sensor Approach to Improve Bathymetric Lidar Mapping of Semi-Arid Groundwater-Dependent Streams: Devils River, Texas

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DOI	10.3390/rs12152491
	Multi-Sensor Approach to Improve Bathymetric Lidar Mapping of Semi-Arid Groundwater-Dependent Streams: Devils River, Texas
	Saylam, Kutalmis; Averett, Aaron R.; Costard, Lucie; Wolaver, Brad D.; Robertson, Sarah
通讯作者	Saylam, K
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:15
英文摘要	Remote sensing technology enables detecting, acquiring, and recording certain information about objects and locations from distances relative to their geographic locations. Airborne Lidar bathymetry (ALB) is an active, non-imaging, remote sensing technology for measuring the depths of shallow and relatively transparent water bodies using light beams from an airborne platform. In this study, we acquired Lidar datasets using near-infrared and visible (green) wavelength with the Leica Airborne Hydrography AB Chiroptera-I system over the Devils River basin of southwestern Texas. Devils River is a highly groundwater-dependent stream that flows 150 km from source springs to Lake Amistad on the lower Rio Grande. To improve spatially distributed stream bathymetry in aquatic habitats of species of state and federal conservation interest, we conducted supplementary water-depth observations using other remote sensing technologies integrated with the airborne Lidar datasets. Ground penetrating radar (GPR) mapped the river bottom where vegetation impeded other active sensors in attaining depth measurements. We confirmed the accuracy of bathymetric Lidar datasets with a differential global positioning system (GPS) and compared the findings to sonar and GPR measurements. The study revealed that seamless bathymetric and geomorphic mapping of karst environments in complex settings (e.g., aquatic vegetation, entrained air bubbles, riparian zone obstructions) require the integration of a variety of terrestrial and remotely operated survey methods. We apply this approach to Devils River of Texas. However, the methods are applicable to similar streams globally.
英文关键词	karst ground penetrating radar remote sensing bathymetry hydrography
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	SCI-E
WOS记录号	WOS:000559252800001
WOS关键词	AIRBORNE LIDAR ; WATER ; SATELLITE ; TURBIDITY ; DEPTH ; GPR
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325603
作者单位	[Saylam, Kutalmis; Averett, Aaron R.; Costard, Lucie] Univ Texas Austin, John A & Katherine G Jackson Sch Geosci, Bur Econ Geol, Near Surface Observ, Austin, TX 78758 USA; [Saylam, Kutalmis] Univ Ottawa, Dept Geog Environm & Geomat, Shallow Water Earth Observat Lab, Ottawa, ON K1N 6N5, Canada; [Wolaver, Brad D.] US Fish & Wildlife Serv, Natl Wildlife Refuge Syst, Div Water Resources, Albuquerque, NM 87103 USA; [Robertson, Sarah] Texas River Ctr, Texas Pk & Wildlife Dept, San Marcos, TX 78666 USA
推荐引用方式 GB/T 7714	Saylam, Kutalmis,Averett, Aaron R.,Costard, Lucie,et al. Multi-Sensor Approach to Improve Bathymetric Lidar Mapping of Semi-Arid Groundwater-Dependent Streams: Devils River, Texas[J],2020,12(15).
APA	Saylam, Kutalmis,Averett, Aaron R.,Costard, Lucie,Wolaver, Brad D.,&Robertson, Sarah.(2020).Multi-Sensor Approach to Improve Bathymetric Lidar Mapping of Semi-Arid Groundwater-Dependent Streams: Devils River, Texas.REMOTE SENSING,12(15).
MLA	Saylam, Kutalmis,et al."Multi-Sensor Approach to Improve Bathymetric Lidar Mapping of Semi-Arid Groundwater-Dependent Streams: Devils River, Texas".REMOTE SENSING 12.15(2020).