The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data
Abstract
Radiative transfer theory and modeling assumptions were applied at laboratory and field scales in order to study the link between leaf reflectance and transmittance and canopy hyper-spectral data for chlorophyll content estimation. This study was focused on 12 sites of Acer saccharum M. (sugar maple) in the Algoma Region, Canada, where field measurements, laboratory-simulation experiments, and hyper-spectral compact airborne spectrographic imager (CASI) imagery of 72 channels in the visible and near-infrared region and up to 1-m spatial resolution data were acquired in the 1997, 1998, and 1999 campaigns. A different set of 14 sites of the same species were used in 2000 for validation of methodologies. Infinite reflectance and canopy reflectance models were used to link leaf to canopy levels through radiative transfer simulation. The closed and dense (LAI>4) forest canopies of Acer saccharum M. used for this study, and the high spatial resolution reflectance data targeting crowns, allowed the use of optically thick simulation formulae and turbid-medium SAILH and MCRM canopy reflectance models for chlorophyll content estimation by scaling-up and by numerical model inversion approaches through coupling to the PROSPECT leaf radiative transfer model. Study of the merit function in the numerical inversion showed that red edge optical indices used in the minimizing function such as R/sub 750//R/sub 710/ perform better than when all single spectral reflectance channels from hyper-spectral airborne CASI data are used, and in addition, the effect of shadows and LAI variation are minimized.
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Citations
Cites
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Defining leaf area index for non‐flat leaves
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Assessing leaf pigment content and activity with a reflectometer
GAMON, J. A., & SURFUS, J. S. (1999) · New Phytologist · doi:10.1046/j.1469-8137.1999.00424.x · Cited by 1,032
Gitelson, A. A., & Merzlyak, M. N. (1996) · Journal of Plant Physiology · doi:10.1016/s0176-1617(96)80284-7 · Cited by 867
Red edge spectral measurements from sugar maple leaves
VOGELMANN, J. E., ROCK, B. N., & MOSS, D. M. (1993) · International Journal of Remote Sensing · doi:10.1080/01431169308953986 · Cited by 863
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Terrestrial remote sensing science and algorithms planned for EOS/MODIS
RUNNING, S. W., JUSTICE, C. O., SALOMONSON, V., HALL, D., BARKER, J., KAUFMANN, Y. J., STRAHLER, A. H., HUETE, A. R., MULLER, J.-P., VANDERBILT, V., et al. (1994) · International Journal of Remote Sensing · doi:10.1080/01431169408954346 · Cited by 417
Cited by
Zarco-Tejada, P. J., González-Dugo, V., & Berni, J. A. J. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.10.007 · Cited by 915
Self-citationHyperspectral remote sensing of plant pigments
Blackburn, G. A. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl123 · Cited by 722
Calderón, R., Navas-Cortés, J. A., Lucena, C., & Zarco-Tejada, P. J. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.07.031 · Cited by 482
Self-citationChambers, J. Q., Asner, G. P., Morton, D. C., Anderson, L. O., Saatchi, S. S., Espírito-Santo, F. D. B., Palace, M., & Souza, C. (2007) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2007.05.001 · Cited by 304
Bergsträsser, S., Fanourakis, D., Schmittgen, S., Cendrero-Mateo, M., Jansen, M., Scharr, H., & Rascher, U. (2015) · Plant Methods · doi:10.1186/s13007-015-0043-0 · Cited by 209
Metadata
- Authors
- Zarco-Tejada, P. J., Miller, J. R., Noland, T. L., Mohammed, G. H., & Sampson, P. H.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2001-07
- Volume
- 39
- Issue
- 7
- Pages
- 1491-1507
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2129483042
- Cited by
- 722
- References
- 16
- FWCI
- 11.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zarco-Tejada, P. J., Miller, J. R., Noland, T. L., Mohammed, G. H., & Sampson, P. H. (2001). Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/36.934080
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