Drone-based area scanning of vegetation fluorescence height profiles using a miniaturized hyperspectral lidar system

Wang, Xun; Duan, Zheng; Brydegaard, Mikkel; Svanberg, Sune; Zhao, Guangyu

doi:10.1007/s00340-018-7078-7

Cited by 34 publications

(24 citation statements)

References 33 publications

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“…The system was integrated with a compact drone carrier. To obtain range-resolved spectra of the upper few meters of the water overflown by the drone, a CW lidar system based on the Scheimpflug principle, as described for vegetation monitoring in our recent paper [26], could be adapted to aquatic applications, where many challenges regarding, e.g., the aquatic fauna are present [29]. However, for studies of oil on water, and for hydrological studies of dye dispersion [30], the compact system described in the present paper provides a good alternative to conventional pulsed-laser fluorosensors and CW-laser Scheimpflug systems, and exhibits certain advantages in terms of performance and simplicity.…”

Section: Discussionmentioning

confidence: 99%

“…We here report on the construction of a fully functional, compact and low-cost laser-induced fluorescence system, which is operated from a readily available commercial drone. We have recently described a drone-based, hyperspectral CW lidar system with range-resolution capability and demonstrated fluorescence height profiles of trees [26]. Drones carrying lidar systems have been used extensively, also as commercial undertakings, as discussed in [26], but as it seems only for elastic backscattering terrain and city profiling.…”

Section: Introductionmentioning

confidence: 99%

“…We have recently described a drone-based, hyperspectral CW lidar system with range-resolution capability and demonstrated fluorescence height profiles of trees [26]. Drones carrying lidar systems have been used extensively, also as commercial undertakings, as discussed in [26], but as it seems only for elastic backscattering terrain and city profiling. Since rangeresolution is not required in surface monitoring, e.g., of oils on water, the optics can be adjusted for a suitable fixed flying altitude, and a fluorescence monitoring system can be made simpler and of even lighter weight.…”

Section: Introductionmentioning

confidence: 99%

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Aquatic environment monitoring using a drone-based fluorosensor

Duan

Wang

et al. 2019

Appl. Phys. B

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A drone-based system for monitoring of laser-induced fluorescence from the aquatic environment was constructed. Fixedrange remote-sensing demonstration measurements were performed, and field recordings of natural river water fluorescence, oil-slicks as well as dye-marked natural water volumes were taken at drone flying heights of about 10 m. Our fluorosensor, weighing only 1.5 kg, and carried by a commercial drone, illustrates how airborne remote sensing based on fluorescence can be made cost-effective and readily applicable, while presently only in ambient low-light-level conditions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Aquatic environment monitoring using a drone-based fluorosensor

Duan

Wang

et al. 2019

Appl. Phys. B

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“…Table 1 shows the technical parameters of MWFL system. Compared with the existing vegetation-monitoring fluorescence LiDAR [38,39], the MWFL system has a combination of scanning ranging and LIF to achieve 3D fluorescence imaging of vegetation targets. This imaging method can form an integrated monitoring of the vegetation's external growth and internal biochemical components.…”

Section: System Componentsmentioning

confidence: 99%

Active 3D Imaging of Vegetation Based on Multi-Wavelength Fluorescence LiDAR

Zhao

Shi

Yang

et al. 2020

Sensors

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Comprehensive and accurate vegetation monitoring is required in forestry and agricultural applications. The optical remote sensing method could be a solution. However, the traditional light detection and ranging (LiDAR) scans a surface to create point clouds and provide only 3D-state information. Active laser-induced fluorescence (LIF) only measures the photosynthesis and biochemical status of vegetation and lacks information about spatial structures. In this work, we present a new Multi-Wavelength Fluorescence LiDAR (MWFL) system. The system extended the multi-channel fluorescence detection of LIF on the basis of the LiDAR scanning and ranging mechanism. Based on the principle prototype of the MWFL system, we carried out vegetation-monitoring experiments in the laboratory. The results showed that MWFL simultaneously acquires the 3D spatial structure and physiological states for precision vegetation monitoring. Laboratory experiments on interior scenes verified the system's performance. Fluorescence point cloud classification results were evaluated at four wavelengths and by comparing them with normal vectors, to assess the MWFL system capabilities. The overall classification accuracy and Kappa coefficient increased from 70.7% and 0.17 at the single wavelength to 88.9% and 0.75 at four wavelengths. The overall classification accuracy and Kappa coefficient improved from 76.2% and 0.29 at the normal vectors to 92.5% and 0.84 at the normal vectors with four wavelengths. The study demonstrated that active 3D fluorescence imaging of vegetation based on the MWFL system has a great application potential in the field of remote sensing detection and vegetation monitoring.

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“…This instrument, not employed to monitor aquatic vegetation or fauna, can represent an alternative technique to measure oil spills on water and for hydrological studies of dye dispersion. Moreover, hyperspectral LIDAR are employed with different applications to investigate the vegetation characterization [10,11], for remote sensing and mapping applied to the cultural heritage [12], for terrestrial laser scanning [13] or oil spill monitoring [14]. A LCTF-based hyperspectral LIDAR instrument with 10 nm spectral resolution and an avalanche photodiode detector has been developed to detect the vegetation red edge position [15].Many LIDAR fluorosensor systems have been developed by the ENEA agency to measure Chl-a and CDOM and employed in marine, oceanographic or polar campaigns [16].…”

mentioning

confidence: 99%

Hyperspectral Fluorescence LIDAR Based on a Liquid Crystal Tunable Filter for Marine Environment Monitoring

Aruffo

Chiuri

Angelini

et al. 2020

Sensors

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An innovative hyperspectral LIDAR instrument has been developed for applications in marine environment monitoring research activities, remotely detecting the fluorescence spectra produced in the spectral interval between 400 nm and 720 nm. The detection system is composed by a custom made photomultiplier charge integrating and measuring (CIM) unit, which makes automatic background signal subtraction, and a liquid crystal tunable filter (LCTF). The new instrument therefore has hyperspectral resolution and allows automatic background subtraction; it is compact and automated by custom software that permit to adapt the instrument properties depending on the environmental conditions. Laboratory tests to characterize the instrument performance have been carried out, concluding that this sensor can be employed in remote sites for Chl-a detection.

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Drone-based area scanning of vegetation fluorescence height profiles using a miniaturized hyperspectral lidar system

Cited by 34 publications

References 33 publications

Aquatic environment monitoring using a drone-based fluorosensor

Aquatic environment monitoring using a drone-based fluorosensor

Active 3D Imaging of Vegetation Based on Multi-Wavelength Fluorescence LiDAR

Hyperspectral Fluorescence LIDAR Based on a Liquid Crystal Tunable Filter for Marine Environment Monitoring

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