Coupling Unmanned Aerial Vehicle (UAV) and hydraulic surveys to study the geometry and spatial distribution of aquatic macrophytes

Biggs, Hamish; Nikora, Vladimir; Gibbins, Christopher; Fraser, Shaun; Green, David R.; Papadopoulos, K.; Hicks, D. Murray

doi:10.1080/24705357.2018.1466666

Cited by 19 publications

(32 citation statements)

References 55 publications

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“…The current study continues the approach of studying macrophytes in situ in Scottish rivers, but uses an upgraded field stereoscopic PIV system compared to that of Nikora et al, (2012) and Cameron et al, (2013). The system upgrades enabled high-resolution flow measurements around much larger R. penicillatus patches (over 3 m long), which are representative of specimens commonly found in the UK at the end of the summer growing season (Biggs et al, 2018). The objectives of this study were to evaluate the geometry and biometric characteristics of R. penicillatus patches (1) and the in situ flow characteristics downstream from a patch, covering: (2) mean flow velocities;…”

Section: Introductionmentioning

confidence: 98%

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Flow interactions with an aquatic macrophyte: a field study using stereoscopic particle image velocimetry

Biggs

Nikora

Gibbins

et al. 2019

Journal of Ecohydraulics

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Section: Introductionmentioning

confidence: 98%

“…Improved management strategies are needed to balance river ecology with practical engineering considerations. These strategies should be based on accurate quantification of macrophyte abundance (Biggs et al, 2018), coupled with rigorous understanding of the effect of macrophytes on flow characteristics and river morphology.…”

Section: Introductionmentioning

confidence: 99%

Flow interactions with an aquatic macrophyte: a field study using stereoscopic particle image velocimetry

Biggs

Nikora

Gibbins

et al. 2019

Journal of Ecohydraulics

Self Cite

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“…Surveys of APCs in rearing ponds are general labour intensive, and UAV techniques can provide higher spatial details with lower costs and higher accuracies. For example, UAV helped to estimate the macrophyte surface cover in the River Urie (Biggs et al, ), and was used to monitor the invasive plants (Hill et al, ; Lishawa et al, ). In this study, we successfully estimated the APCs of crab ponds using a civilian UAV with an RGB camera, which common farmers could afford and use.…”

Section: Discussionmentioning

confidence: 99%

Estimation of the lower practical limit of aquatic plant coverage in intensive Chinese mitten crab ( Eriocheir sinensis ) rearing ponds using an unmanned aerial vehicle

et al. 2019

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Aquatic plants play important roles in the productivity of intensive Chinese mitten crab (CMC) rearing ponds. This study aimed to evaluate the lower limit of aquatic plant coverage (APC) in CMC ponds. A field investigation was conducted and unmanned aerial vehicle was used to estimate APCs. A follow‐on single factor experiment was performed to verify the results and evaluated the efficacy of APC values with 15%, 45%, 65% and 85% APC treatments. Average total nitrogen (0.81 mg/L), total phosphorus (0.06 mg/L), ammonium‐N (0.12 mg/L) and nitrate‐N (0.10 mg/L) met the grade II–IV standards for surface water quality in China in the investigations. Further, the use of an exponential decay model for water qualities and APCs indicated that an effective APC threshold was around 30%, and crab yields (1,536 kg ha–1 year–1) significantly decreased by 19.2% if the pond APCs could not reach this threshold. Crab yields were also correlated with crab feed characteristics, and especially the level of fish meat that was used. The single factor experiment for APC again confirmed our APC value threshold via exponential model. Meanwhile, the water quality measurements of the 15% APC treatment were significantly larger than the other APC treatments, but the crab yield, individual weight and carapace length indeed decreased in this single factor experiment for APC. We therefore conclude that the empirical APC level of 60% is preferred, but that smaller APCs could be acceptable in intensive CMC ponds if an APC of at least 30% is maintained.

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“…A number of studies have had the specific aim of using UAS to delineate wetlands. Among those, many studies focused on identifying and classifying wetland vegetation using Object-Based Image Analysis [20,[89][90][91][92][93]. OBIA was discovered to be superior to pixel-based classification by Pande-Chhetri et al [92].…”

Section: Applications For Wetland Mapping and Hydrologic Modelingmentioning

confidence: 99%

UAS for Wetland Mapping and Hydrological Modeling

Jeziorska

2019

Remote Sensing

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The miniaturization and affordable production of integrated microelectronics have improved in recent years, making unmanned aerial systems (UAS) accessible to consumers and igniting their interest. Researchers have proposed UAS-based solutions for almost any conceivable problem, but the greatest impact will likely be in applications that exploit the unique advantages of the technology: work in dangerous or difficult-to-access areas, high spatial resolution and/or frequent measurements of environmental phenomena, and deployment of novel sensing technology over small to moderate spatial scales. Examples of such applications may be the identification of wetland areas and use of high-resolution spatial data for hydrological modeling. However, because of the large—and growing—assortment of aircraft and sensors available on the market, an evolving regulatory environment, and limited practical guidance or examples of wetland mapping with UAS, it has been difficult to confidently devise or recommend UAS-based monitoring strategies for these applications. This paper provides a comprehensive review of UAS hardware, software, regulations, scientific applications, and data collection/post-processing procedures that are relevant for wetland monitoring and hydrological modeling.

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Coupling Unmanned Aerial Vehicle (UAV) and hydraulic surveys to study the geometry and spatial distribution of aquatic macrophytes

Cited by 19 publications

References 55 publications

Flow interactions with an aquatic macrophyte: a field study using stereoscopic particle image velocimetry

Flow interactions with an aquatic macrophyte: a field study using stereoscopic particle image velocimetry

Estimation of the lower practical limit of aquatic plant coverage in intensive Chinese mitten crab ( Eriocheir sinensis ) rearing ponds using an unmanned aerial vehicle

UAS for Wetland Mapping and Hydrological Modeling

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