Application of Unmanned Aerial Vehicle Imagery for Algal Bloom Monitoring in River Basin

Kim, Heung-Min; Yoon, Hong-Joo; Jang, Seon Woong; Kwak, Seok Nam; Sohn, Byeong Yong; Kim, Se Geun; Kim, Dae Hyun

doi:10.14257/ijca.2016.9.12.18

Cited by 14 publications

(19 citation statements)

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Section: Resultsmentioning

confidence: 99%

“…Of the 13 papers reviewed, 10 focused on freshwater ecosystems [1,[18][19][20][21][22][23][24][25][26], two occurred in coastal or estuarine environments [15,27], and one in a polar desert landscape [28] (Table 1). Of these, five focused on identifying cyanobacterial blooms [1,20,21,23,28]. Additionally, four studies used the visible spectrum to identify algal blooms [21,24,25,27], six incorporated the near-infrared (NIR) [1,19,20,23,26,28], and three utilized hyperspectral sensors [15,18,22].…”

Section: Resultsmentioning

confidence: 99%

“…Of these, five focused on identifying cyanobacterial blooms [1,20,21,23,28]. Additionally, four studies used the visible spectrum to identify algal blooms [21,24,25,27], six incorporated the near-infrared (NIR) [1,19,20,23,26,28], and three utilized hyperspectral sensors [15,18,22]. Despite differences in targets and approaches, there were a number of general principles regarding technology (hardware, software), methodology (e.g., validation), and common challenges and barriers discussed further below.…”

Section: Resultsmentioning

confidence: 99%

“…Not only do UAVs reduce the need to conduct airborne studies in manned aircraft, they also provide several other benefits for remote sensing of complex and often difficult-to-reach algal bloom-affected areas. Of the 13 papers reviewed, 10 mentioned that UAVs are affordable in that they can be more efficient than airborne or satellite imagery acquisition in both time and money [1,15,18,20,21,[23][24][25]27,28], and can reduce in situ water quality sampling costs [29]. Furthermore, UAV-based algal bloom research can decrease the amount of fieldwork that is required to conduct water-quality measurements, and it can reduce the environmental and health consequences of traversing through protected, fragile, or toxic ecosystems [28].…”

Section: Benefits Of Uavs In Algal Bloom Researchmentioning

confidence: 99%

“…Thirteen unique cameras or sensors were used in the primary papers analyzed ( Table 1). The majority of these studies were conducted with RGB cameras [1,19,20,[24][25][26]28], or RGB + infrared (IR) cameras (multispectral cameras) [1,19,20,23,26,28]. Only three papers used hyperspectral sensors [15,18,22].…”

Section: Sensors and Camerasmentioning

confidence: 99%

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UAVs in Support of Algal Bloom Research: A Review of Current Applications and Future Opportunities

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Algal blooms have become major public health and ecosystem vitality concerns globally. The prevalence of blooms has increased due to warming water and additional nutrient inputs into aquatic systems. In response, various remotely-sensed methods of detection, analysis, and forecasting have been developed. Satellite imaging has proven successful in the identification of various inland and coastal blooms at large spatial and temporal scales, and airborne platforms offer higher spatial and often spectral resolution at targeted temporal frequencies. Unmanned aerial vehicles (UAVs) have recently emerged as another tool for algal bloom detection, providing users with on-demand high spatial and temporal resolution at lower costs. However, due to the challenges of processing images of water, payload costs and limitations, and a lack of standardized methods, UAV-based algal bloom studies have not gained critical traction. This literature review explores the current state of this field, and highlights opportunities that could promote its growth. By understanding the technical parameters required to identify algal blooms with airborne platforms, and comparing these capabilities to current UAV technology, such knowledge will assist managers, researchers, and public health officials in utilizing UAVs to monitor and predict blooms at greater spatial and temporal precision, reducing exposure to potentially toxic events.

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