Claim · model-written summary
The narrow-band WI-4 index tracked changes in middle-layer LWC with R2 = 0.82.
- Taxon
- Wheat
Triticum aestivumt0 - Outcome
- tracking the changes of middle-LWCe5
- Value
- 0.82e5
- Qualifier
- narrow-band WI-4e5
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Wheat Canopies”
e5“the newly proposed narrow-band WI-4 and NDWSI-4 indices exhibited great potential in tracking the changes of middle-LWC (R2 = 0.82 and 0.84, respectively)”
Title
Estimating Vertical Distribution of Leaf Water Content within Wheat Canopies after Head Emergence
Weiping Kong; Wenjiang Huang; Lingling Ma; et al. Remote Sensing 2021. doi:10.3390/rs13204125
Other claims from this paper (12)
- Observation Leaf water content in wheat plants was highest at the middle layer of the canopy.
- Association Middle-layer LWC shows a significant linear correlation with upper-layer LWC (r ≥ 0.92).
- Association Middle-layer LWC shows a significant linear correlation with bottom-layer LWC (r ≥ 0.92).
- Association Wheat spikes decreased the accuracy of LWC estimation from spectral reflectance.
- Method / resource Spectral indices at the middle layer outperformed the other two layers in LWC assessment.
- Association Spectral indices at the middle layer were less susceptible to wheat spikes effects.
- Method / resource The narrow-band NDWSI-4 index tracked changes in middle-layer LWC with R2 = 0.84.
- Method / resource Indirect induction models based on WI-4 and NDWSI-4 were more effective than models from the conventional direct estimation method.
- Method / resource The indirect induction model based on WI-4 reached R2 of 0.78 for upper-layer LWC estimation.
- Method / resource The indirect induction model based on NDWSI-4 reached R2 of 0.81 for upper-layer LWC estimation.
- Method / resource The indirect induction model based on WI-4 reached R2 of 0.75 for bottom-layer LWC estimation.
- Method / resource The indirect induction model based on NDWSI-4 reached R2 of 0.74 for bottom-layer LWC estimation.