The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Terrestrial remote sensing science and algorithms planned for EOS/MODIS
Abstract
The Moderate Resolution Imaging Spectroradiometer (MODIS) will be the primary daily global monitoring sensor on the NASA Earth Observing System (EOS) satellites, scheduled for launch on the EOS-AM platform in June 1998 and the EOS-PM platform in December 2000. MODIS is a 36 channel radiometer covering 0·415-14·235 μm wavelengths, with spatial resolution from 250 m to 1 km at nadir. MODIS will be the primary EOS sensor for providing data on terrestrial biospheric dynamics and process activity. This paper presents the suite of global land products currently planned for EOSDIS implementation, to be developed by the authors of this paper, the MODIS land team (MODLAND). These include spectral albedo, land cover, spectral vegetation indices, snow and ice cover, surface temperature and fire, and a number of biophysical variables that will allow computation of global carbon cycles, hydrologic balances and biogeochemistry of critical greenhouse gases. Additionally, the regular global coverage of these variables will allow accurate surface change detection, a fundamental determinant of global change.
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Cites
Photogrammetric Engineering and Remote Sensing
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A soil-adjusted vegetation index (SAVI)
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Self-citationA modified soil adjusted vegetation index
Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H., & Sorooshian, S. (1994) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)90134-1 · Cited by 3,379
Self-citationBiomass Burning in the Tropics: Impact on Atmospheric Chemistry and Biogeochemical Cycles
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Canopy reflectance, photosynthesis and transpiration
SELLERS, P. J. (1985) · International Journal of Remote Sensing · doi:10.1080/01431168508948283 · Cited by 2,278
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Observational Contrains on the Global Atmospheric Co 2 Budget
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Atmospherically resistant vegetation index (ARVI) for EOS-MODIS
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Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1
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Decision tree classification of land cover from remotely sensed data
Friedl, M. A., & Brodley, C. E. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(97)00049-7 · Cited by 1,542
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Self-citationZarco-Tejada, P. J., Miller, J. R., Noland, T. L., Mohammed, G. H., & Sampson, P. H. (2001) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.934080 · Cited by 722
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Metadata
- Authors
- 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., WAN, Z. M., TEILLET, P., & CARNEGGIE, D.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 1994-11
- Volume
- 15
- Issue
- 17
- Pages
- 3587-3620
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2104588681
- Cited by
- 417
- References
- 43
- FWCI
- 32.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- 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., WAN, Z. M., TEILLET, P., & CARNEGGIE, D. (1994). Terrestrial remote sensing science and algorithms planned for EOS/MODIS. International Journal of Remote Sensing. https://doi.org/10.1080/01431169408954346
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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.