Assessing the potential capabilities of UAV-Lidar scanners, thermal and multispectral cameras to upscale energy heat fluxes in ICOS stations

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

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.
Original languageEnglish
Publication date2019
Number of pages1
Publication statusPublished - 2019
Event2nd Nordic ICOS Symposium, 24 - 25 October, Gothenburg, Sweden: Sources and Sinks of Greenhouse Gases - Gothenburg, Sweden
Duration: 24 Oct 201925 Oct 2019


Conference2nd Nordic ICOS Symposium, 24 - 25 October, Gothenburg, Sweden
Internet address

ID: 234146767