Claim · model-written summary
ETP changed little after water effects were removed.
- Taxon
- Maize, Sawtooth Oak, and Sweetgum
Liquidambar styraciflua
Zea mays
Quercus acutissimae1 - Outcome
- ETPe0
- Direction
- did not change muche0
- Comparator
- measured spectrae0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.


Verbatim
e0“Compared with measured spectra, ETP did not change much after the effects of water were removed”
e1“Maize, Sawtooth Oak, and Sweetgum leaves”
Title
Limited Effects of Water Absorption on Reducing the Accuracy of Leaf Nitrogen Estimation
Jun Wang; Jing Chen; Weimin Ju; et al. Remote Sensing 2017. doi:10.3390/rs9030291
Other claims from this paper (14)
- Method / resource PROSPECT5 estimated chlorophyll content with R2 0.75.
- Method / resource PROSPECT5 estimated carotenoid content with R2 0.59.
- Method / resource PROSPECT5 estimated water content with R2 0.69.
- Method / resource Dry matter was retrieved with relatively lower accuracy.
- Method / resource Water-free species-specific indices performed comparably or worse than measured or simulated spectra indices.
- Method / resource Water removal decreased the cross-species index R2 for Sawtooth Oak.
- Method / resource Water removal decreased the cross-species index R2 for Sweetgum.
- Method / resource The cross-species index R2 for Maize stayed nearly the same after water removal.
- Method / resource ETP exceeded 30% for all spectra.
- Method / resource After water removal, PLSR accuracy for Sawtooth Oak decreased.
- Method / resource After water removal, PLSR accuracy for Sweetgum decreased.
- Method / resource After water removal, PLSR accuracy for Maize increased negligibly.
- Method / resource Water absorption had limited effects on reducing leaf nitrogen estimation accuracy.
- Mechanism Removing water-sensitive regions may decrease accuracy through lost spectral information.