The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Remote estimation of canopy chlorophyll content in crops
Open accessAbstract
Accurate estimation of spatially distributed chlorophyll content (Chl) in crops is of great importance for regional and global studies of carbon balance and responses to fertilizer (e.g., nitrogen) application. In this paper a recently developed conceptual model was applied for remotely estimating Chl in maize and soybean canopies. We tuned the spectral regions to be included in the model, according to the optical characteristics of the crops studied, and showed that the developed technique allowed accurate estimation of total Chl in both crops, explaining more than 92% of Chl variation. This new technique shows great potential for remotely tracking the physiological status of crops, with contrasting canopy architectures, and their responses to environmental changes.
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Cites
Porra, R. J., Thompson, W. A., & Kriedemann, P. E. (1989) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/s0005-2728(89)80347-0 · Cited by 5,992
Use of a green channel in remote sensing of global vegetation from EOS-MODIS
Gitelson, A. A., Kaufman, Y. J., & Merzlyak, M. N. (1996) · Remote Sensing of Environment · doi:10.1016/s0034-4257(96)00072-7 · Cited by 3,253
Self-citationGitelson, A. A., Gritz †, Y., & Merzlyak, M. N. (2003) · Journal of Plant Physiology · doi:10.1078/0176-1617-00887 · Cited by 2,683
Self-citationEstimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance
Daughtry, C. (2000) · Remote Sensing of Environment · doi:10.1016/s0034-4257(00)00113-9 · Cited by 2,543
The MERIS terrestrial chlorophyll index
Dash, J., & Curran, P. J. (2004) · International Journal of Remote Sensing · doi:10.1080/0143116042000274015 · Cited by 1,226
Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves¶
Gitelson, A. A., Merzlyak, M. N., & Chivkunova, O. B. (2001) · Photochemistry and Photobiology · doi:10.1562/0031-8655(2001)0740038opaneo2.0.co2 · Cited by 974
Self-citationRemote estimation of leaf area index and green leaf biomass in maize canopies
Gitelson, A. A., Viña, A., Arkebauer, T. J., Rundquist, D. C., Keydan, G., & Leavitt, B. (2003) · Geophysical Research Letters · doi:10.1029/2002gl016450 · Cited by 886
Self-citationAssessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶
Gitelson, A. A., Zur, Y., Chivkunova, O. B., & Merzlyak, M. N. (2007) · Photochemistry and Photobiology · doi:10.1562/0031-8655(2002)0750272accipl2.0.co2 · Cited by 769
Self-citationIn vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation
BUSCHMANN, C., & NAGEL, E. (1993) · International Journal of Remote Sensing · doi:10.1080/01431169308904370 · Cited by 560
Dall’Olmo, G., & Gitelson, A. A. (2005) · Applied Optics · doi:10.1364/ao.44.000412 · Cited by 403
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Optical vegetation indices for monitoring terrestrial ecosystems globally
Zeng, Y., Hao, D., Huete, A., Dechant, B., Berry, J., Chen, J. M., Joiner, J., Frankenberg, C., Bond-Lamberty, B., Ryu, Y., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00298-5 · Cited by 837
Hyperspectral remote sensing of plant pigments
Blackburn, G. A. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl123 · Cited by 722
A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation
Gitelson, A. A., Dall'Olmo, G., Moses, W., Rundquist, D. C., Barrow, T., Fisher, T. R., Gurlin, D., & Holz, J. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.04.015 · Cited by 659
Self-citationWhat good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
Hunt, E. R., & Daughtry, C. S. T. (2018) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1410300 · Cited by 325
Maresma, Á., Lloveras, J., & Martínez-Casasnovas, J. (2018) · Remote Sensing · doi:10.3390/rs10040543 · Cited by 41
Metadata
- Authors
- Gitelson, A. A., Viña, A., Ciganda, V., Rundquist, D. C., & Arkebauer, T. J.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2005-04
- Volume
- 32
- Issue
- 8
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2109006150
- Cited by
- 1,645
- References
- 14
- FWCI
- 12.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Gitelson, A. A., Viña, A., Ciganda, V., Rundquist, D. C., & Arkebauer, T. J. (2005). Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters. https://doi.org/10.1029/2005gl022688
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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.
