The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Application of Advanced Very High Resolution Radiometer vegetation index to study atmosphere‐biosphere exchange of CO2
Abstract
Normalized difference vegetation indices derived from radiances measured by the Advanced Very High Resolution Radiometer aboard the NOAA 7 polar‐orbiting satellite were used to prescribe the phasing of terrestrial photosynthesis. The satellite data were combined with field data on soil respiration and a global map of net primary productivity to obtain the seasonal exchange of CO 2 between the atmosphere and the terrestrial biosphere. The monthly fluxes of CO 2 thus obtained were employed as source/sink functions in a global three‐dimensional atmospheric tracer transport model to simulate the annual oscillations of CO 2 in the atmosphere. Reasonable agreement was found between the simulated and observed annual cycles of atmospheric CO 2 at the locations of the remote monitoring stations. The results demonstrate that satellite data of high spatial and temporal resolution can be used to provide quantitative information about seasonal and longer‐term variations of photosynthetic activity on a global scale. Atmospheric CO 2 observations and a three‐dimensional atmospheric model have been used to validate the translation of the nondimensional satellite data into dimensional carbon fluxes. Direct calibration will require extensive ground truth and field measurements at ecosystem scales.
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Citations
Cites
Seasonal amplitude increase in atmospheric CO 2 concentration at Mauna Loa, Hawaii, 1959–1982
Bacastow, R. B., Keeling, C. D., & Whorf, T. P. (1985) · Journal of Geophysical Research: Atmospheres · doi:10.1029/jd090id06p10529 · Cited by 250
Cited by
Global Biodiversity Scenarios for the Year 2100
Sala, O. E., Stuart Chapin, F., III, Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., Huber-Sanwald, E., Huenneke, L. F., Jackson, R. B., et al. (2000) · Science · doi:10.1126/science.287.5459.1770 · Cited by 9,280
Observational Contrains on the Global Atmospheric Co 2 Budget
Tans, P. P., Fung, I. Y., & Takahashi, T. (1990) · Science · doi:10.1126/science.247.4949.1431 · Cited by 2,066
Zhou, L., Tucker, C. J., Kaufmann, R. K., Slayback, D., Shabanov, N. V., & Myneni, R. B. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd000115 · Cited by 1,544
Self-citationGlobal net primary production: Combining ecology and remote sensing
Field, C. B., Randerson, J. T., & Malmström, C. M. (1995) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)00066-v · Cited by 1,256
Randerson, J. T., Thompson, M. V., Conway, T. J., Fung, I. Y., & Field, C. B. (1997) · Global Biogeochemical Cycles · doi:10.1029/97gb02268 · Cited by 455
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Metadata
- Authors
- Fung, I. Y., Tucker, C. J., & Prentice, K. C.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 1987-03-20
- Volume
- 92
- Issue
- D3
- Pages
- 2999-3015
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2054977164
- Cited by
- 359
- References
- 1
- FWCI
- 20.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Application of Advanced Very High Resolution Radiometer vegetation index to study atmosphere‐biosphere exchange of CO2. https://app.cochat.ai/papers/10.1029/jd092id03p02999
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- Fung, I. Y., Tucker, C. J., & Prentice, K. C. (1987). Application of Advanced Very High Resolution Radiometer vegetation index to study atmosphere‐biosphere exchange of CO2. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/jd092id03p02999
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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.