A new lake algae detection method supported by a drone‐based multispectral camera

Tóth, Veronika Zsófia; Grósz, János; Ladányi, Márta; Jung, András

doi:10.1111/lre.12377

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…Nonetheless, drones with multispectral and hyperspectral cameras are also being introduced. For example, they are used for studies on precision agriculture [90,91], vegetation [92,93] or water [94,95]. Drones equipped with cameras covering the whole solar range could represent a useful tool for the characterization and even the rating of solar reflectance of urban surfaces.…”

Section: Satellite Measurementsmentioning

confidence: 99%

Standard Test Methods for Rating of Solar Reflectance of Built-Up Surfaces and Potential Use of Satellite Remote Sensors

et al. 2021

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More and more attention is being paid to the solar reflectance of built-up surfaces due to its influence on the summer heating of buildings and urban areas and the consequent effects on energy needs for air conditioning, as well as on the peak load of the electric grid. Several standard test methods are available for measuring solar reflectance in the laboratory or in the field, based on different devices and approaches. A convergence of some methods has been achieved by rating programs in the U.S. and, more recently, in Europe and other areas. However, laboratory or field measurements are impractical for characterizing a large number of urban surfaces—whether it is for identifying critical issues, developing policies, or verifying compliance with building requirements. In this regard, satellite remote sensors have recently become available, through which it is possible to estimate the reflectance of roof and pavement surfaces thanks to a spatial resolution that is suitable for identifying and characterizing individual built-up surfaces. In the present paper, the most-used standard test methods for rating of solar reflectance are reviewed. Subsequently, some publicly accessible satellite sensors are examined, through which comparable measurements could be obtained.

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Section: Satellite Measurementsmentioning

confidence: 99%

Standard Test Methods for Rating of Solar Reflectance of Built-Up Surfaces and Potential Use of Satellite Remote Sensors

et al. 2021

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“…While multispectral imagers do not capture the full spectrum, they have been found to be useful in algae monitoring applications. [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41] With a sufficiently low-cost and robust design, several multispectral imagers could be deployed on bridges, trees, posts, etc. along a river stretch to provide long-term information about the algal growth in the river.…”

Section: Introductionmentioning

confidence: 99%

Developing a low-cost multispectral imager for detecting algal blooms in rivers

Hamp¹,

Logan²,

Shaw³

2023

SPIE Future Sensing Technologies 2023

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A low-cost multispectral imager is described for routine monitoring of Cladophora nuisance algae and bluegreen algae in narrow rivers that are not spatially resolved by satellites. The goal is to identify algal blooms and estimate the chlorophyll a (chl a) and phycocyanin content from a network of low-cost imagers that can be mounted on bridges, trees, or other convenient objects at key river locations. The preliminary design uses Raspberry Pi cameras and computers with bandpass filters at 568, 671, 700, and 825 nm, based on data gathered with an airborne hyperspectral imager on the Upper Clark Fork River in southwestern Montana USA. This paper summarizes the initial design, calibration measurements, and preliminary reflectance data.

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“…UAV platforms offer operational flexibility and the ability to record short-to long-term algal bloom events at the centimeter scale [17]. Numerous studies have demonstrated that UAV platforms can contribute valuable hydrology [18,19] and water quality information [20,21], regarding algae [17,[22][23][24] and other optically active constituents [25][26][27]. The photogrammetry technique is widely employed in constructing orthomosaics for many of these applications.…”

Section: Introductionmentioning

confidence: 99%

Comparing Unmanned Aerial Multispectral and Hyperspectral Imagery for Harmful Algal Bloom Monitoring in Artificial Ponds Used for Fish Farming

Olivetti

Cicerelli

Martinez

et al. 2023

Drones

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This work aimed to assess the potential of unmanned aerial vehicle (UAV) multi- and hyper-spectral platforms to estimate chlorophyll-a (Chl-a) and cyanobacteria in experimental fishponds in Brazil. In addition to spectral resolutions, the tested platforms differ in the price, payload, imaging system, and processing. Hyperspectral airborne surveys were conducted using a push-broom system 276-band Headwall Nano-Hyperspec camera onboard a DJI Matrice 600 UAV. Multispectral airborne surveys were conducted using a global shutter-frame 4-band Parrot Sequoia camera onboard a DJI Phantom 4 UAV. Water quality field measurements were acquired using a portable fluorometer and laboratory analysis. The concentration ranged from 14.3 to 290.7 µg/L and from 0 to 112.5 µg/L for Chl-a and cyanobacteria, respectively. Forty-one Chl-a and cyanobacteria bio-optical retrieval models were tested. The UAV hyperspectral image achieved robust Chl-a and cyanobacteria assessments, with RMSE values of 32.8 and 12.1 µg/L, respectively. Multispectral images achieved Chl-a and cyanobacteria retrieval with RMSE values of 47.6 and 35.1 µg/L, respectively, efficiently mapping the broad Chl-a concentration classes. Hyperspectral platforms are ideal for the robust monitoring of Chl-a and CyanoHABs; however, the integrated platform has a high cost. More accessible multispectral platforms may represent a trade-off between the mapping efficiency and the deployment costs, provided that the multispectral cameras offer narrow spectral bands in the 660–690 nm and 700–730 nm ranges for Chl-a and in the 600–625 nm and 700–730 nm spectral ranges for cyanobacteria.

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A new lake algae detection method supported by a drone‐based multispectral camera

Cited by 5 publications

References 19 publications

Standard Test Methods for Rating of Solar Reflectance of Built-Up Surfaces and Potential Use of Satellite Remote Sensors

Standard Test Methods for Rating of Solar Reflectance of Built-Up Surfaces and Potential Use of Satellite Remote Sensors

Developing a low-cost multispectral imager for detecting algal blooms in rivers

Comparing Unmanned Aerial Multispectral and Hyperspectral Imagery for Harmful Algal Bloom Monitoring in Artificial Ponds Used for Fish Farming

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