Abstract
Crop leaf water content can be a valuable biochemical parameter to diagnose crop water stress. The leaf water content characterizes some spectral absorption features in NIR band. Some researchers have proved that it was feasible to retrieve leaf water content utilizing those spectral absorption features. Measured leaf water content data of several sorts of winter wheat and the corresponding reflectance, CHRIS images were collected. Even 974 nm, 1160 nm and 1440 nm were absorption feature bands of foliar water, the predicted accuracies of leaf water content only using these bands were not satisfying. Four popular indices of vegetation water content including NDWI, SR, WI and REP were used to build the predict model and evaluated though relativity analysis. SR and REP opposed the stronger predicted accuracy of leaf water content than other spectral indices. Limited to the band position setting and band spectral function of CHRIS, SR and REP were modified fit to the band setting of CHRIS. The predicted model based on ground reflectance were made to adaptable to the band spectral function of CHRIS sensors, and the results showed that wide band spectral function indeed caused a lower accuracy of crop water content than narrow band spectral function.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 3
Claim · model-written summary
The 974, 1160 and 1440 nm absorption feature bands alone gave unsatisfactory leaf-water prediction accuracy.
- Taxon
- winter wheat
Triticum aestivume1 - Outcome
- predicted accuracies of leaf water contente0
- Value
- 974 nme0
- Qualifier
- not satisfyinge0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Even 974 nm, 1160 nm and 1440 nm were absorption feature bands of foliar water, the predicted accuracies of leaf water content only using these bands were not satisfying.”
e1“winter wheat”
Claim · model-written summary
SR and REP predicted leaf water content more accurately than the other indices.
- Taxon
- winter wheatTriticum aestivume1
- Outcome
- predicted accuracy of leaf water contente0
- Direction
- strongere0
- Comparator
- other spectral indicese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“SR and REP opposed the stronger predicted accuracy of leaf water content than other spectral indices.”
e1“winter wheat”
Claim · model-written summary
Wide CHRIS band spectral functions lowered crop water content prediction accuracy relative to narrow bands.
- Taxon
- winter wheatTriticum aestivume1
- Outcome
- accuracy of crop water contente0
- Direction
- lowere0
- Comparator
- narrow band spectral functione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“wide band spectral function indeed caused a lower accuracy of crop water content than narrow band spectral function”
e1“winter wheat”