Calibration of 1064 nm channel of LITE and other uses of ocean surface returns

T. W. Cooley, J. A. Reagan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Lidar In-space Technology Experiment (LITE), the first NASA satellite-borne Lidar will yield data on atmospheric aerosols and surface reflectance. The uses of the LITE surface returns have been stated in the literature. We wish to determine the margin of error of the ocean surface return signal. The 1064 nm channel does not have a strong enough signal to enable calibration off the molecular atmosphere as does the 532 nm channel. The expected error is determined for calibration of the 1064 nm channel by taking the ratio of the 532 nm channel and the 1064 nm channel surface returns off the ocean. Reflection off water surfaces has been investigated by several authors to account for the various specular and diffuse components. These models are reviewed and implemented to investigate LITE detection of ocean surface state. The effects of errors introduced by the system and other unknown parameters are considered and used to determine the error inherent in calibrating the IR channel using this approach.

Original languageEnglish (US)
Title of host publicationBetter Understanding of Earth Environment
EditorsSadao Fujimura
PublisherPubl by IEEE
Pages869-871
Number of pages3
ISBN (Print)0780312406
StatePublished - Dec 1 1993
EventProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium - Tokyo, Jpn
Duration: Aug 18 1993Aug 21 1993

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2

Other

OtherProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium
CityTokyo, Jpn
Period8/18/938/21/93

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ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Cooley, T. W., & Reagan, J. A. (1993). Calibration of 1064 nm channel of LITE and other uses of ocean surface returns. In S. Fujimura (Ed.), Better Understanding of Earth Environment (pp. 869-871). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2). Publ by IEEE.