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Multispectral laser scanning: an overview

Explore the use of multispectral laser scanning technology for assessing tree species, composition, and forest structure. Learn about spectral measurements of foliage and woody material, dual-wavelength TLS, and hyperspectral lidar advancements. Discover the applications of SALCA data and three-dimensional software in mapping forest characteristics.

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Multispectral laser scanning: an overview

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  1. Multispectral laser scanning: an overview Mark Danson & FadalSasse Ecosystems and Environment Research Centre,School of Environment and Life Sciences,University of Salford,Manchester, UK @SalcaSalford Rachel Gaulton (U of Newcastle) SannaKaasalainen (FGI)

  2. Structure of lidar waveforms Return pulse shape ƒ outgoing pulse shape, reflectance of object, area of material in beam, angle of incidence

  3. Spectral measurements of foliage and woody material Woody components Oak leaves

  4. Salford Advanced Laser Canopy Analyser

  5. Spectral separation of foliage and woody material with SALCA Wood only Leaf only

  6. Dual wavelength TLS for monitoring EWT of canopies

  7. The FGI hyperspectral lidar (HSL) prototype • Automatic 3D target identification in 8 channels (about 500-1000 nm) • Supercontinuum laser light source: 1 ns pulses, 24kHz • Spectrum directly available for each point in the laser scanning point cloud

  8. Zamioculcas, "Zanzibar Gem" (Zamioculcas zamiifolia) Effects of laser incidence angle • Incidence angle vs. reflectance varies between visible and NIR • Variation in spectral vegetation indices, e.g., NDVI Kaasalainen, S., et al., 2016. Incidence angle dependency of leaf vegetation indices from hyper-spectral lidar measurements. PFG Photogrammetrie, Fernerkundung, Geoinformation, 2016, Heft 2, 075-084. DOI: 10.1127/pfg/2016/0287

  9. Dual-wavelength terrestrial laser scanning of forest structure and composition Objectives: Assess the spectral information in SALCA data in relation to tree species and composition Use 3D spatial software (CANUPO) to assess the three-dimensional characteristics of point cloud data for tree components Combine the spectral and spatial information in point cloud data to map forest characteristics Absolute reflectance Intensity – 1545nm

  10. @SalcaSalford

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