Multispectral terrestrial lidar

Kaasalainen, Sanna

doi:10.1201/9781351018869-2

Cited by 6 publications

(9 citation statements)

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“…We foresee that other disciplines of optical remote sensing and environmental monitoring also could benefit from the outlined hyperspectral lidar method. For example, hyperspectral lidar for vegetation canopies [34,44] could improve tree species classification and report on leaf moisture, fertilization, or internal leaf structures. The method could also be employed in atmospheric sensing of particles [45,46] and gasses such as CH 4 , O 2 , H 2 O, [47] and CO 2 .…”

Section: This Progress and The Ehsl Methods Open Up For A New And Com...mentioning

confidence: 99%

Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar

Müller

Manefjord

et al. 2023

Advanced Science

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Monitoring insects of different species to understand the factors affecting their diversity and decline is a major challenge. Laser remote sensing and spectroscopy offer promising novel solutions to this. Coherent scattering from thin wing membranes also known as wing interference patterns (WIPs) have recently been demonstrated to be species specific. The colors of WIPs arise due to unique fringy spectra, which can be retrieved over long distances. To demonstrate this, a new concept of infrared (950-1650 nm) hyperspectral lidar with 64 spectral bands based on a supercontinuum light source using ray-tracing and 3D printing is developed. A lidar with an unprecedented number of spectral channels, high signal-to-noise ratio, and spatio-temporal resolution enabling detection of free-flying insects and their wingbeats. As proof of principle, coherent scatter from a damselfly wing at 87 m distance without averaging (4 ms recording) is retrieved. The fringed signal properties are used to determine an effective wing membrane thickness of 1412 nm with ±4 nm precision matching laboratory recordings of the same wing. Similar signals from free flying insects (2 ms recording) are later recorded. The accuracy and the method's potential are discussed to discriminate species by capturing coherent features from free-flying insects.

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Section: This Progress and The Ehsl Methods Open Up For A New And Com...mentioning

confidence: 99%

Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar

Müller

Manefjord

et al. 2023

Advanced Science

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“… Due to the promising capabilities of NASA’s GEDI spaceborne LiDAR (launched in late 2018) in canopy height and aboveground biomass estimation, satellite-based MSL can be also anticipated in the near future [ 135 ]. Given that spectral information constitutes the primary advantage of MSL technology over monochromatic LiDAR, there is an increased demand for precise radiometric calibration [ 136 ]. Therefore, it is worthwhile to consider the incorporation of a radiometric calibration component in the design of the new generation of MSL/HSL systems.…”

Section: Discussionmentioning

confidence: 99%

“…It is noteworthy that unlike the airborne MSL, all terrestrial MSL scanners are still experimental, and no commercial instrumentation is yet available. A comprehensive review of terrestrial MSL laser scanners can be found in [ 81 ].…”

Section: Multispectral Sensorsmentioning

confidence: 99%

Multispectral Light Detection and Ranging Technology and Applications: A Review

Takhtkeshha,

Mandlburger,

Remondino

et al. 2024

Sensors

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Light Detection and Ranging (LiDAR) is a well-established active technology for the direct acquisition of 3D data. In recent years, the geometric information collected by LiDAR sensors has been widely combined with optical images to provide supplementary spectral information to achieve more precise results in diverse remote sensing applications. The emergence of active Multispectral LiDAR (MSL) systems, which operate on different wavelengths, has recently been revolutionizing the simultaneous acquisition of height and intensity information. So far, MSL technology has been successfully applied for fine-scale mapping in various domains. However, a comprehensive review of this modern technology is currently lacking. Hence, this study presents an exhaustive overview of the current state-of-the-art in MSL systems by reviewing the latest technologies for MSL data acquisition. Moreover, the paper reports an in-depth analysis of the diverse applications of MSL, spanning across fields of “ecology and forestry”, “objects and Land Use Land Cover (LULC) classification”, “change detection”, “bathymetry”, “topographic mapping”, “archaeology and geology”, and “navigation”. Our systematic review uncovers the potentials, opportunities, and challenges of the recently emerged MSL systems, which integrate spatial–spectral data and unlock the capability for precise multi-dimensional (nD) mapping using only a single-data source.

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“…The revisit time for LiDAR applications is determined by the researcher. Although the revisit time is flexible, LiDAR is affected by four main factors that influence scan quality: (1) atmospheric conditions, (2) instrumental error, (3) surface properties, and (4) the geometry between the device and measured object (Kaasalainen et al, 2011;Soudarissanane et al, 2011). To correct for atmospheric conditions, temperature, humidity, and atmospheric pressure are adjusted on the device before use.…”

Section: Lidarmentioning

confidence: 99%

“…Geometry determines the local incidence angle, the local range and the local point density of the surface. In general it is assumed that the lower the incident angle is and the closer the scanner is the higher the accuracy, however, it is hard to achieve in the natural environment (Kaasalainen et al, 2011;Soudarissanane et al, 2011).…”

Section: Lidarmentioning

confidence: 99%

Determining the uncertainty of areal mean surface elevation measured with a terrestrial laser scanner and with a total station in permafrost environments near Lac de Gras, NWT, Canada

Peart¹

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Quantifying topographic change in permafrost environments is important because it can provide insight about the loss of excess ice. Ground-based methods that detect change in surface elevation, however, are often applied at individual points rather than over an area, giving rise to questions about their representativeness.Remote sensing methods can overcome this problem, although confounding signals may arise from changing vegetation and microtopography. Comparing remotely sensed areal surface elevation or elevation change with ground-based observations also requires areal estimates rather than point measurements. This study examines the uncertainty of mean elevation measured with a terrestrial laser scanner and with a total station on 28 plots with different surface characteristics in a tundra environment. Observations from terrestrial laser scanning and surveying with a total station are analyzed statistically to reveal confidence intervals for the derived mean elevations. In the absence of a true reference elevation for the plots investigated, the difference between both mean elevations is quantified as well as the likelihood of representing the same surface. The results provide method specific detection limits for vertical movements of small plots (15 m × 15 m) with differing surface characteristics. The difference between means derived from both methods provides additional context about how well we can define what the surface is that we are observing. On average, terrestrial laser scanning can potentially detect vertical movements in the centimeter range (1.4-24.0 cm) and the total station method in the low decimeter range (3.5-47.1 cm). For all plots, the mean elevations derived from laser scanning and total station surveying are statistically different at the 95% confidence level. Strong differences between plots exist and are influenced by surface ii characteristics.iii

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Multispectral terrestrial lidar

Cited by 6 publications

References 50 publications

Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar

Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar

Multispectral Light Detection and Ranging Technology and Applications: A Review

Determining the uncertainty of areal mean surface elevation measured with a terrestrial laser scanner and with a total station in permafrost environments near Lac de Gras, NWT, Canada

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