Tracking Fluorescent Dye Dispersion from an Unmanned Aerial Vehicle

Burdziakowski, Paweł; Zima, Piotr; Wielgat, Paweł; Kalinowska, Dominika

doi:10.3390/s21113905

Cited by 9 publications

(5 citation statements)

References 63 publications

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“…This study complemented previous work on remote sensing of visible tracers in a near-shore coastal setting (Burdziakowski et al, 2021;Clark et al, 2014), an outdoor lab facility (Baek et al, 2019), and a clear-flowing natural river by evaluating the feasibility of inferring concentrations of RWT dye from passive optical image data in a larger, more turbid river. We also sought to corroborate the experimental finding that the radiance signal associated with RWT was robust and readily detectable in sediment-laden water with turbidities up to 60 NTU (Legleiter et al, 2020).…”

Section: Remote Sensing Of Tracer Dye Concentrations Across a Range O...mentioning

confidence: 64%

“…Similarly, Burdziakowski et al. (2021) used red, green, blue (RGB) images acquired from a small unoccupied aircraft system (sUAS) deployed above a bay to map dispersion of RWT and fluorescein, another greenish yellow‐hued visible dye. Powers et al.…”

Section: Introductionmentioning

confidence: 99%

“…Although the absorption and reflectance spectra of RWT thus overlap around 570 nm, Clark et al (2014) showed that the ratio of the upwelling spectral radiance (proportional to the brightness of an image pixel) in a green absorption band to that recorded at a reflectance peak in the red portion of the spectrum was highly correlated with in situ observations of RWT concentration. Similarly, Burdziakowski et al (2021) used red, green, blue (RGB) images acquired from a small unoccupied aircraft system (sUAS) deployed above a bay to map dispersion of RWT and fluorescein, another greenish yellow-hued visible dye. Powers et al (2018) also used data from an sUAS to characterize diffusion of a pulse of fluorescein injected into a small inland reservoir.…”

mentioning

confidence: 99%

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Remote Sensing of Visible Dye Concentrations During a Tracer Experiment on a Large, Turbid River

Legleiter

Sansom

Jacobson

2022

Water Resources Research

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The motion of a small organism, a contaminant, or any other suspended or dissolved constituent through a river system is influenced by the spatial organization of the flow field. Understanding how materials are redistributed by various dispersion processes is thus critical for a broad range of applications. For example, numerical dispersion models are often used to simulate the spread of pollutants and other dangerous substances. This approach can inform disaster response by predicting how a spill of oil or hazardous waste will spread along and across a river, providing travel time estimates, and highlighting locations where contaminants might accumulate and pose a persistent environmental hazard. This kind of information is critical for emergency management agencies tasked with issuing public health advisories and leading containment and remediation activities following a spill (e.g., Nelson et al., 2018;Seo et al., 2016). Similarly, in a biological context, characterizing the onset, growth, and movement of harmful algal blooms could yield insight regarding their adverse effects on aquatic ecosystems and human health (e.g., Brooks et al., 2016;Burford et al., 2020). This study was designed to support ongoing efforts

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Section: Remote Sensing Of Tracer Dye Concentrations Across a Range O...mentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Remote Sensing of Visible Dye Concentrations During a Tracer Experiment on a Large, Turbid River

Legleiter

Sansom

Jacobson

2022

Water Resources Research

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“…Many of these hydrodynamic processes, albeit without resolving vertical structure, are now being studied using relatively simple and low-cost systems that incorporate UAS-mounted passive sensors and fluorescent dyes (Clark et al 2014). Some studies have used fluorescent dyes (e.g., fluorescein and RWT) and UAScollected multispectral imagery to map plume concentration profiles, construct concentration curves and mathematical dispersion models, and compared those to in situ samples collected using fluorometers (Burdziakowski et al 2021;Powers et al 2018). For instance, Baek et al (2019) used a UAS with a standard commercial digital RGB (red, green, blue) camera, in situ fluorometric probes, and artificial neural network models to correlate (R 2 > 0.9) image digital numbers to RWT dye concentrations in open channels.…”

Section: Remote Sensingmentioning

confidence: 99%

Unmanned aircraft systems and tracer dyes : potential for monitoring herbicide spray distribution

Mudge,

Suir,

Sperry

2023

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Chemical control of nuisance aquatic vegetation has long been the most widely utilized management tool due to its high level of efficacy, limited environmental impacts, and relatively low cost. However, unprecise application of herbicides can lead to uncontrolled invasive plants and unintended management costs. Therefore, precision herbicide delivery techniques are being developed to improve invasive plant control and minimize impacts to non-target plants. These technological advancements have the potential to enhance aquatic ecosystem protection from invasive species while reducing associated management costs. Despite the benefits of using registered herbicides for aquatic plant control in efforts to restore aquatic habitats, their use is often misunderstood and opposed by public stakeholders. This can lead to significant challenges related to chemical control of nuisance aquatic vegetation. Thus, US Army Corps of Engineers (USACE) Districts seek improved methods to monitor and quantify the distribution (i.e., amount of herbicide retained on plant foliage compared to those deposited into the water column) of herbicides applied in aquatic systems. Monitoring herbicide movement in aquatic systems can be tedious and costly using standard analytical methods. However, since the inert fluorescent tracer dye Rhodamine WT (RWT) closely mimics product movement in the aquatic environment it has been used as a cost-effective surrogate for herbicides tracing. The use of RWT (or other inert tracer dyes) can be an efficient way to quantify herbicide retention and deposition following foliar treatments. However, the collection of operational spray deposition data in large populations of invasive floating and emergent plant stands is labor intensive and costly. One proposed solution is the use of remote sensing methods as an alternative to traditional in situ samples. Specifically, using unmanned aircraft systems (UAS) in conjunction with RWT could provide more efficient monitoring and quantification of herbicide spray distribution and in-water concentrations when using RWT in combination with herbicides. A better understanding of UAS capabilities and limitations is key as this technology is being explored for improved and integrated management of aquatic plants in the U.S. This technical note (TN) provides a review of literature to assess the state of knowledge and technologies that can assist USACE Districts and partners with tracking herbicide movement (using RWT as a surrogate or additive), which could improve operational monitoring, thus reducing the level of uncertainty related to chemical applications and non-target impacts, and thus improve management in aquatic systems.

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“…The software is one of the most popular programs used in photogrammetry (mainly in short-range photogrammetry) [53]. Aside from standard functionalities (photogrammetric triangulation [27], digital surface/digital terrain model generation [54,55], georeferenced orthomosaic generation [56,57], 3D model generation and texturing [58]), it enables the use of Python and Java APIs, which allow for adapting the software to the user's needs, often dictated by its use for specialist analyses by scientists in the photogrammetry and teledetection fields [23,59,60].…”

Section: Data Acquisitionmentioning

confidence: 99%

Seven Different Lighting Conditions in Photogrammetric Studies of a 3D Urban Mock-Up

et al. 2021

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One of the most important elements during photogrammetric studies is the appropriate lighting of the object or area under investigation. Nevertheless, the concept of “adequate lighting” is relative. Therefore, we have attempted, based on experimental proof of concept (technology readiness level—TRL3), to verify the impact of various types of lighting emitted by LED light sources for scene illumination and their direct influence on the quality of the photogrammetric study of a 3D urban mock-up. An important issue in this study was the measurement and evaluation of the artificial light sources used, based on illuminance (E), correlated colour temperature (CCT), colour rendering index (CRI) and Spectral power distribution (SPD) and the evaluation of the obtained point clouds (seven photogrammetric products of the same object, developed for seven different lighting conditions). The general values of the quality of the photogrammetric studies were compared. Additionally, we determined seventeen features concerning the group of tie-points in the vicinity of each F-point and the type of study. The acquired traits were related to the number of tie-points in the vicinity, their luminosities and spectral characteristics for each of the colours (red, green, blue). The dependencies between the identified features and the obtained XYZ total error were verified, and the possibility of detecting F-points depending on their luminosity was also analysed. The obtained results can be important in the process of developing a photogrammetric method of urban lighting monitoring or in selecting additional lighting for objects that are the subject of a short-range photogrammetric study.

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Tracking Fluorescent Dye Dispersion from an Unmanned Aerial Vehicle

Cited by 9 publications

References 63 publications

Remote Sensing of Visible Dye Concentrations During a Tracer Experiment on a Large, Turbid River

Remote Sensing of Visible Dye Concentrations During a Tracer Experiment on a Large, Turbid River

Unmanned aircraft systems and tracer dyes : potential for monitoring herbicide spray distribution

Seven Different Lighting Conditions in Photogrammetric Studies of a 3D Urban Mock-Up

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