Claim · model-written summary
Pix4Dmapper processing parameters strongly affected 3D point cloud density, which ranged 2–600 million points.
- Taxon
- corn, cotton, sorghum, and soybean
Gossypium hirsutum
Glycine max
Sorghum
Zea mays subsp. mayse1 - Treatment
- Pix4Dmapper processing parameterse0
- Outcome
- 3D point cloud densitye0
- Value
- 2–600 million pointse0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Pix4Dmapper processing parameters strongly affected 3D point cloud density (2–600 million points), processing time (1–16 h), and plant height accuracy (R2 = 0.67–0.95)”
e1“corn, cotton, sorghum, and soybean”
Title
Chenghai Yang; Charles P.-C. Suh; Bradley K. Fritz Remote Sensing 2026. doi:10.3390/rs18020360
Other claims from this paper (7)
- Method / resource UAS point clouds consistently outperformed DSMs for plant height estimation across altitudes, overlaps and crop types.
- Method / resource In 2019 highest plant height accuracy occurred at 60–90 m altitude (1.0–1.5 cm GSD), with RMSE of 0.06–0.10 m (R2 = 0.92–0.95).
- Method / resource In 2022 highest plant height accuracy at 60–90 m altitude had RMSE of 0.07–0.08 m (R2 = 0.80–0.89).
- Method / resource Across side and front overlap combinations at 60–120 m, reduced overlaps produced RMSE values comparable to full overlaps.
- Method / resource Pix4Dmapper processing parameters strongly affected processing time, which ranged 1–16 h.
- Method / resource Pix4Dmapper processing parameters strongly affected plant height accuracy, with R2 of 0.67–0.95.
- Recommendation The authors conclude that optimized flight settings, particularly reduced side overlap with high front overlap, can shorten flight and processing time without compromising point cloud quality or height estimation accuracy.