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The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status.
Abstract
Some red edge parameters in the first derivative reflectance curve (wavelength, amplitude and area of the red edge peak) were studied to evaluate plant chlorophyll content, biomassand RelativeWater Content (RWC).Plants of Capsicum annuum and Phaseolus vulgaris under different nitrogen and water availabilities, and plants of Gerbera jamesonii with different hydric status were studied. A high correlation was found between chlorophyll content and the wavelength of the red edge peak (λre ), and between LAI (leaf area index)and the amplitude of the red edge peak (drr e ), but the area of the red edge peak (σ680–780 nm) was the best estimator of LAI. Thus, red edge was found valuable for assessment of plant chlorophyll concentration and LAI, and therefore nutritional status. Water stress also affected drre, but only when the stress was well developed.
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Cited by
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Self-citationle Maire, G., François, C., & Dufrêne, E. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.09.004 · Cited by 631
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USTIN, S. L., ROBERTS, D. A., GAMON, J. A., ASNER, G. P., & GREEN, R. O. (2004) · BioScience · doi:10.1641/0006-3568(2004)054[0523:uistse]2.0.co;2 · Cited by 580
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“It does not deal with horizontal variations (wavelengths of critical features) such as variation in other pigments that affect the visible spectrum, observations that the NIR end of the red edge may broaden in curvature and shift in location, and observations that the water absorbance bands may blue- or red-shift with…”
Metadata
- Authors
- FILELLA, I., & PENUELAS, J.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 1994-05-10
- Volume
- 15
- Issue
- 7
- Pages
- 1459-1470
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2007939589
- Cited by
- 828
- References
- 0
- FWCI
- 5.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- FILELLA, I., & PENUELAS, J. (1994). The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. International Journal of Remote Sensing. https://doi.org/10.1080/01431169408954177
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.