Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods

By Pablo J. Zarco-Tejada, Ramón Alberto Díaz-Varela, V. Angileri, P. Loudjani. 2014

519 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Geology

View Paper: https://www.semanticscholar.org/paper/ac8d047ec1e33844ec82251c2ded517c990cad7a

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Citations in the corpus

Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance (2015, methodology): “…et al. (2013) generated multi-temporal crop surface models to monitor plant growth of barley with a very high resolution < 0.05 m from a rotary-wing UAV flying at 30 m. Zarco-Tejada et al. (2014) quantified tree height in orchards from a fixed-wing UAV flying at 200 m with the same resolution.”
Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images (2018, methodology): “A 3D first-surface-return point cloud model is usually used to estimate plant height (Bendig et al. 2015; Chu et al. 2016; Zarco-Tejada et al. 2014) or 3D plantation dimensionality (Dı́az-Varela et al. 2015; Gatziolis et al. 2015; Torres-Sánchez et al. 2015), while a georeferenced 2D orthomosaic…”
High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials (2015, methodology): “, due to their relatively easy acquisition and analysis and their sensitivity to canopy cover and vegetation density, they tend to suffer from several shortcomings when used for the modelling of structural parameters, particularly regarding their reliability and accuracy [10,11].”
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows (2018, methodology): “[33] demonstrated the use of narrow-band indices acquired from a UAV platform for water stress detection in an orchard using a Headwall micro-Hyperspec VNIR pushbroom”
Crop Phenomics: Current Status and Perspectives (2019, background): “Zarco-Tejada et al., 2014; Yang et al., 2017; etc. Fixed-wing UAV RGB camera; multispectral camera; hyperspectral camera; thermal camera.”
Short Communication. Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal (2016, result): “Tree heights and crown width estimations presented similar or higher performance that previous researches for palm plantation (Kattenborn et al., 2014) and olive orchards (Zarco-Tejada et al., 2014; DíazVarela et al., 2015).”
Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds (2016, methodology): “ The mini‐UAV system used in this study was designed to accommodate the laser scanner and the DSLR camera simultaneously.”
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging (2017, unknown): “Some studies have been using data from UAVs in individual tree height determination with good results [38].”
Unmanned Aerial Vehicles (UAVs) in environmental biology: a review (2019, background): “It is also helpful in estimating yields, for example, from olive orchards (Olea europaea L.) (Zarco-Tejada et al., 2014).”