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Cited by 436

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MODTRAN4 radiative transfer modeling for atmospheric correction

Berk, Alexander, Anderson, Gail P., Bernstein, Lawrence S., Acharya, Prabhat K., Dothe, H., Matthew, Michael W., Adler-Golden, Steven M., Chetwynd, Jr., James H., Richtsmeier, Steven C., Pukall, Brian, Allred, Clark L., Jeong, Laila S., Hoke, Michael L.·1999·SPIE Proceedings

Abstract

MODTRAN4, the latest publicly released version of MODTRAN, provides many new and important options for modeling atmospheric radiation transport. A correlated-k algorithm improves multiple scattering, eliminates Curtis-Godson averaging, and introduces Beer's Law dependencies into the band model. An optimized 15 cm-1 band model provides over a 10-fold increase in speed over the standard MODTRAN 1 cm-1 band model with comparable accuracy when higher spectral resolution results are unnecessary. The MODTRAN ground surface has been upgraded to include the effects of Bidirectional Reflectance Distribution Functions (BRDFs) and Adjacency. The BRDFs are entered using standard parameterizations and are coupled into line-of-sight surface radiance calculations.

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Metadata

Authors
Berk, A., Anderson, G. P., Bernstein, L. S., Acharya, P. K., Dothe, H., Matthew, M. W., Adler-Golden, S. M., Chetwynd, Jr., Richtsmeier, S. C., Pukall, B., Allred, C. L., Jeong, L. S., & Hoke, M. L.
Venue
SPIE Proceedings
Publisher
SPIE
Published
1999-10-20
Volume
3756
Pages
348
ISSN
0277-786X (ISSN-L)
OpenAlex
W2018639934
Cited by
436
References
0
FWCI
25.70
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: MODTRAN4 radiative transfer modeling for atmospheric correction. https://app.cochat.ai/papers/10.1117/12.366388
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Berk, A., Anderson, G. P., Bernstein, L. S., Acharya, P. K., Dothe, H., Matthew, M. W., Adler-Golden, S. M., Chetwynd, Jr., Richtsmeier, S. C., Pukall, B., Allred, C. L., Jeong, L. S., & Hoke, M. L. (1999). MODTRAN4 radiative transfer modeling for atmospheric correction. SPIE Proceedings. https://doi.org/10.1117/12.366388

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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.