High-throughput phenotyping has been widely studied in plant science to monitor plant
growth and analyze the influence of genotypes and environment on plant growth. To meet …

Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …

The measurement of tree height has long been an important tree attribute for the purpose of
calculating tree growth, volume, and biomass, which in turn deliver important ecological and …

Abstract Aims Unmanned aerial vehicles (UAVs), ie drones, have recently emerged as cost-
effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …

Due to the increasing importance of mangroves in climate change mitigation projects, more
accurate and cost-effective aboveground biomass (AGB) monitoring methods are required …

The monitoring of forest phenology in a cost-effective manner, at a fine spatial scale and
over relatively large areas remains a significant challenge. To address this issue, unmanned …

This paper investigates the reliability of free and open-source algorithms used in the
geographical object-based image classification (GEOBIA) of very high resolution (VHR) …

Background Tree pruning is a costly practice with important implications for crop harvest and
nutrition, pest and disease control, soil protection and irrigation strategies. Investigations on …

High spatial resolution imagery provided by unmanned aerial vehicles (UAVs) can yield
accurate and efficient estimation of tree dimensions and canopy structural variables at the …

During recent years unmanned aerial vehicles (UAVs) have been increasingly used for
research and application in both agriculture and forestry. Nevertheless, most of this work has …