Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

MODTRAN4: radiative transfer modeling for remote sensing

[+] Author Affiliations
Gail P. Anderson, James H. Chetwynd, Jr., Anthony J. Ratkowski, Gerald W. Felde, Michael L. Hoke, Brian Pukall, Jason B. Mello, Laila S. Jeong

Air Force Research Lab. (USA)

Alexander Berk, Prabhat K. Acharya, Michael W. Matthew, Lawrence S. Bernstein, H. Dothe, Steven M. Adler-Golden, Steven C. Richtsmeier

Spectral Sciences, Inc. (USA)

James A. Gardner

Air Force Research Lab. (USA) and Univ. of Arizona (USA)

Proc. SPIE 3866, Optics in Atmospheric Propagation and Adaptive Systems III, 2 (December 10, 1999); doi:10.1117/12.371318
Text Size: A A A
From Conference Volume 3866

  • Optics in Atmospheric Propagation and Adaptive Systems III
  • Anton Kohnle; John D. Gonglewski
  • Florence, Italy | September 20, 1999

abstract

MODTRAN4, the newly released version of the U.S. Air Force atmospheric transmission, radiance and flux model is being developed jointly by the Air Force Research Laboratory/Space Vehicles Directorate and Spectral Sciences, Inc. It is expected to provide the accuracy required for analyzing spectral data for both atmospheric and surface characterization. These two quantities are the subject of satellite and aircraft campaigns currently being developed and pursued by, for instance: NASA (Earth Observing System), NPOESS (National Polar Orbiting Environmental Satellite System), and the European Space Agency (GOME--Global Ozone Monitoring Experiment). Accuracy improvements in MODTRAN relate primarily to two major developments: (1) the multiple scattering algorithms have been made compatible with the spectroscopy by adopting a corrected-k approach to describe the statistically expected transmittance properties for each spectral bin and atmospheric layer, and (2) radiative transfer calculations can be conducted with a Beer-Lambert formulation that improves the treatment of path inhomogeneities. Other code enhancements include the incorporation of solar azimuth dependence in the DISORT- based multiple scattering model, the introduction of surface BRDF (Bi-directional Radiance Distribution Functions) models and 15 cm-1 band model for improved computational speed.

© (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Gail P. Anderson ; Alexander Berk ; Prabhat K. Acharya ; Michael W. Matthew ; Lawrence S. Bernstein, et al.
"MODTRAN4: radiative transfer modeling for remote sensing", Proc. SPIE 3866, Optics in Atmospheric Propagation and Adaptive Systems III, 2 (December 10, 1999); doi:10.1117/12.371318; http://dx.doi.org/10.1117/12.371318


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.