Claim · model-written summary
UAV LiDAR canopy height (CH) was highly correlated with in-situ measurements in corn (R2 at least 0.91, RMSE at most 15.43).
- Taxon
- corn
Zea mays subsp. mayse1
- Outcome
- CHe0
- Value
- R 2 ≥0.91; RMSE ≤15.43e0
- Qualifier
- highly correlatede0
- Comparator
- in-situe0
- Setting
- Temple, Texase1
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“both CH ( R 2 ≥0.91; RMSE ≤15.43) and LAI ( R 2 ≥0.77, RMSE =0.52) measurements are highly correlated when comparing in-situ and LiDAR-based measurements”
e1“multi-planting date (seven dates) corn experiments conducted in Temple, Texas”
Title
Assessing day and night UAV-based estimates of crop characterization using LiDAR
K. Colton Flynn; Gurjinder S. Baath; Bala Ram Sapkota; et al. Smart Agricultural Technology 2026. doi:10.1016/j.atech.2026.101805
Other claims from this paper (4)
- Method / resource UAV LiDAR leaf area index (LAI) was highly correlated with in-situ measurements in corn (R2 at least 0.77, RMSE 0.52).
- Method / resource Canopy height from day and night LiDAR flights differed very little (change in R2 at most 0.01) and was highly replicable.
- Method / resource LAI from day and night LiDAR collections differed more than canopy height did (change in R2 at most 0.05).
- Mechanism The authors attribute the larger day-night differences in LAI to leaf turgor, given the relatively minor differences among models.