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Cited by 1,020

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS)

King, M.D., Kaufman, Y.J., Menzel, W.P., Tanre, D.·1992·IEEE Transactions on Geoscience and Remote Sensing

Abstract

The authors describe the status of MODIS-N and its companion instrument MODIS-T (tilt), a tiltable cross-track scanning spectrometer with 32 uniformly spaced channels between 0.410 and 0.875 mu m. They review the various methods being developed for the remote sensing of atmospheric properties using MODIS, placing primary emphasis on the principal atmospheric applications of determining the optical, microphysical, and physical properties of clouds and aerosol particles from spectral reflection and thermal emission measurements. In addition to cloud and aerosol properties, MODIS-N will be used for determining the total precipitable water vapor and atmospheric stability. The physical principles behind the determination of each of these atmospheric products are described, together with an example of their application to aircraft and/or satellite measurements.>

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Metadata

Authors
King, M. D., Kaufman, Y. J., Menzel, W. P., & Tanre, D.
Venue
IEEE Transactions on Geoscience and Remote Sensing
Published
1992
Volume
30
Issue
1
Pages
2-27
ISSN
0196-2892 (ISSN-L)
OpenAlex
W2134631034
Cited by
1,020
References
40
FWCI
25.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS). https://app.cochat.ai/papers/10.1109/36.124212
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King, M. D., Kaufman, Y. J., Menzel, W. P., & Tanre, D. (1992). Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS). IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/36.124212

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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.