Characterizing canopy height with UAS structure-from-motion photogrammetry—results analysis of a maize field trial with respect to multiple factors

Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery

(2018) L. Malambo et al.   International Journal of Applied Earth Observation and Geoinformation

Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images

(2017) Everton Castelao Tetila et al.   IEEE Geoscience and Remote Sensing Letters

Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment

(2017) Carly Stanton et al.   Journal of Applied Remote Sensing

Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images

(2017) Ruizhi Chen et al.   PRECISION AGRICULTURE

Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images

(2017) Tianxing Chu et al.   Remote Sensing

Cotton growth modeling and assessment using unmanned aircraft system visual-band imagery

(2016) Tianxing Chu et al.   Journal of Applied Remote Sensing

High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing

(2016) Fenner Holman et al.   Remote Sensing

Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

(2014) Juliane Bendig et al.   Remote Sensing

‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications

(2012) M.J. Westoby et al.   GEOMORPHOLOGY