Practice Abstract - Research and innovation

AGRIC-LASERUAV: Precision agricultural crop monitoring using laser scanning and unmanned aerial vehicles

Recently two technological developments on remote sensing advancements came available: a) Unmanned Aerial Vehicles (UAV) coupled with microsensors, and b) Ground-based Light Detection and Ranging (LiDAR) systems. The introduction of cost-effective UAV-based systems allows us to characterize individual trees within forested and agricultural ecosystems. Issues regarding spatial scales can be addressed with terrestrial LiDAR systems that allow the characterization of spatial organization of tree crown elements from a ground-level perspective. This project aims to couple the use of UAV-based imagery with ground-level LiDAR data to characterize important biophysical processes at unprecedented spatial and temporal resolutions, suitable for precision, and sustainable forestry/agricultural monitoring. The project will investigate the impact of vegetation architectural parameters, retrieved using a ground-based LiDAR scanner, on the quantitative estimation of physiological indicators of stress (i.e. evapotranspiration, and leaf chlorophyll content) using UAV-based spectral imagery and 3D radiative transfer modeling.

See also: https://smart-akis.com/SFCPPortal/#/app-h/technologies?techid=136

Source Project
Smart-AKIS: European Agricultural Knowledge and Innovation Systems (AKIS) towards innovation-driven research
in Smart Farming Technology
Ongoing | 2016-2018
Main funding source
Horizon 2020 (EU Research and Innovation Programme)
Geographical location
Greece
Project details

Project Keywords