Assessing the potential capabilities of UAV-Lidar scanners, thermal and multispectral cameras to upscale energy heat fluxes in ICOS stations
Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
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Assessing the potential capabilities of UAV-Lidar scanners, thermal and multispectral cameras to upscale energy heat fluxes in ICOS stations. / Trepekli, Katerina; Westergaard-Nielsen, Andreas; Friborg, Thomas.
2019. Abstract fra 2nd Nordic ICOS Symposium, 24 - 25 October, Gothenburg, Sweden, Gothenburg, Sverige.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
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T1 - Assessing the potential capabilities of UAV-Lidar scanners, thermal and multispectral cameras to upscale energy heat fluxes in ICOS stations
AU - Trepekli, Katerina
AU - Westergaard-Nielsen, Andreas
AU - Friborg, Thomas
PY - 2019
Y1 - 2019
N2 - Unmanned aerial vehicles (UAVs)-based Light Detection and Ranging (Lidar) scanners, and optical imagery may facilitate a precisely description of atmospheric-surface processes in both high spatial and temporal resolution without being confined to a specific footprint. By monitoring the 3-d structure of a land, the reflected and thermal radiation using the current available technology we aim to evaluate a conceptual approach to infer turbulent heat fluxes over different agricultural fields in Denmark where an Integrated Carbon Observation System (ICOS) Class 1 station data will be utilized to validate the drone-based heat fluxes. Based on preliminary results the objectives of this study are to: i) reliably partition the point cloud data produced by the UAV-Lidar system into bare-earth and vegetation structure; ii) assign the aerodynamic resistance based on the retrieved geometry of the canopy and surface roughness models; iii) calculate the sensible heat flux and available energy using thermal and spectral reflectance maps; iv) estimate the spatial distribution of latent heat flux by applying a surface energy balance model. Mapping the energy fluxes using Lidar scanners, aerial photogrammetry and drones may narrow considerably the spatial and temporal gap in data between ground and space borne/aircraft measurements, thus providing more reliable surface energy budget on large spatial scale, and enabling the application of environmentally sustainable irrigation, fertilization and natural ecosystem restoration practices.
AB - Unmanned aerial vehicles (UAVs)-based Light Detection and Ranging (Lidar) scanners, and optical imagery may facilitate a precisely description of atmospheric-surface processes in both high spatial and temporal resolution without being confined to a specific footprint. By monitoring the 3-d structure of a land, the reflected and thermal radiation using the current available technology we aim to evaluate a conceptual approach to infer turbulent heat fluxes over different agricultural fields in Denmark where an Integrated Carbon Observation System (ICOS) Class 1 station data will be utilized to validate the drone-based heat fluxes. Based on preliminary results the objectives of this study are to: i) reliably partition the point cloud data produced by the UAV-Lidar system into bare-earth and vegetation structure; ii) assign the aerodynamic resistance based on the retrieved geometry of the canopy and surface roughness models; iii) calculate the sensible heat flux and available energy using thermal and spectral reflectance maps; iv) estimate the spatial distribution of latent heat flux by applying a surface energy balance model. Mapping the energy fluxes using Lidar scanners, aerial photogrammetry and drones may narrow considerably the spatial and temporal gap in data between ground and space borne/aircraft measurements, thus providing more reliable surface energy budget on large spatial scale, and enabling the application of environmentally sustainable irrigation, fertilization and natural ecosystem restoration practices.
M3 - Conference abstract for conference
T2 - 2nd Nordic ICOS Symposium, 24 - 25 October, Gothenburg, Sweden
Y2 - 24 October 2019 through 25 October 2019
ER -
ID: 234146767