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Cited by 417

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

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·International Journal of Remote Sensing

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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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
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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CoChat. (2026). Citation check: Terrestrial remote sensing science and algorithms planned for EOS/MODIS. https://app.cochat.ai/papers/10.1080/01431169408954346
The paper
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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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.