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Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data
Open accessAbstract
A synergistic algorithm for producing global leaf area index and fraction of absorbed photosynthetically active radiation fields from canopy reflectance data measured by MODIS (moderate resolution imaging spectroradiometer) and MISR (multiangle imaging spectroradiometer) instruments aboard the EOS‐AM 1 platform is described here. The proposed algorithm is based on a three‐dimensional formulation of the radiative transfer process in vegetation canopies. It allows the use of information provided by MODIS (single angle and up to 7 shortwave spectral bands) and MISR (nine angles and four shortwave spectral bands) instruments within one algorithm. By accounting features specific to the problem of radiative transfer in plant canopies, powerful techniques developed in reactor theory and atmospheric physics are adapted to split a complicated three‐dimensional radiative transfer problem into two independent, simpler subproblems, the solutions of which are stored in the form of a look‐up table. The theoretical background required for the design of the synergistic algorithm is discussed.
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Cited by
Fensholt, R., Sandholt, I., & Rasmussen, M. S. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.04.009 · Cited by 608
Huang, J., Ma, H., Sedano, F., Lewis, P., Liang, S., Wu, Q., Su, W., Zhang, X., & Zhu, D. (2019) · European Journal of Agronomy · doi:10.1016/j.eja.2018.10.008 · Cited by 253
Predicting species distributions across the Amazonian and Andean regions using remote sensing data
Buermann, W., Saatchi, S., Smith, T. B., Zutta, B. R., Chaves, J. A., Milá, B., & Graham, C. H. (2008) · Journal of Biogeography · doi:10.1111/j.1365-2699.2007.01858.x · Cited by 179
Winter severity limits red fox populations in Eurasia
Bartoń, K. A., & Zalewski, A. (2007) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00299.x · Cited by 95
Hummel, M., Hoose, C., Gallagher, M., Healy, D. A., Huffman, J. A., O'Connor, D., Pöschl, U., Pöhlker, C., Robinson, N. H., Schnaiter, M., et al. (2015) · Atmospheric Chemistry and Physics · doi:10.5194/acp-15-6127-2015 · Cited by 59
“In Table 4, the LAI from the Global Land Cover 2000 database (European Commission, Joint Research Centre, 2003), which was used in the COSMO simulations, is compared to the MODIS LAI product (MCD14A2, MODIS collection 5; Knyazikhin et al., 1998) which is available at 1 km horizontal and 8-day temporal resolution.”
Method
Metadata
- Authors
- Knyazikhin, Y., Martonchik, J. V., Myneni, R. B., Diner, D. J., & Running, S. W.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 1998-12
- Volume
- 103
- Issue
- D24
- Pages
- 32257-32275
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2058214432
- Cited by
- 932
- References
- 0
- FWCI
- 12.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. https://app.cochat.ai/papers/10.1029/98jd02462
- The paper
- Knyazikhin, Y., Martonchik, J. V., Myneni, R. B., Diner, D. J., & Running, S. W. (1998). Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/98jd02462
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