Bistatic LIDAR: A Tool for Characterizing Atmospheric Particulates: Part II-The Inverse Problem

John A. Reagan; Dale M. Byrne; Benjamin M. Herman

doi:10.1109/TGRS.1982.350436

Bistatic LIDAR: A Tool for Characterizing Atmospheric Particulates: Part II-The Inverse Problem

John A. Reagan, Dale M. Byrne, Benjamin M. Herman

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

The inverse problem of deducing atmospheric particulate properties from bistatic LIDAR angular scattering measurements is investigated, and certain scattering functions are identified as being particularly sensitive to particle size and/or particle refractive index. Methods are presented for retrieving the particle size distribution and refractive index from these scattering functions. Examples are also given of retrievals of particle size distribution and refractive index obtained from actual bistatic LIDAR data.

Original language	English (US)
Pages (from-to)	236-243
Number of pages	8
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	GE-20
Issue number	3
DOIs	https://doi.org/10.1109/TGRS.1982.350436
State	Published - Jul 1982
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering
General Earth and Planetary Sciences

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10.1109/TGRS.1982.350436

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title = "Bistatic LIDAR: A Tool for Characterizing Atmospheric Particulates: Part II-The Inverse Problem",

abstract = "The inverse problem of deducing atmospheric particulate properties from bistatic LIDAR angular scattering measurements is investigated, and certain scattering functions are identified as being particularly sensitive to particle size and/or particle refractive index. Methods are presented for retrieving the particle size distribution and refractive index from these scattering functions. Examples are also given of retrievals of particle size distribution and refractive index obtained from actual bistatic LIDAR data.",

author = "Reagan, {John A.} and Byrne, {Dale M.} and Herman, {Benjamin M.}",

year = "1982",

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AU - Byrne, Dale M.

AU - Herman, Benjamin M.

PY - 1982/7

Y1 - 1982/7

N2 - The inverse problem of deducing atmospheric particulate properties from bistatic LIDAR angular scattering measurements is investigated, and certain scattering functions are identified as being particularly sensitive to particle size and/or particle refractive index. Methods are presented for retrieving the particle size distribution and refractive index from these scattering functions. Examples are also given of retrievals of particle size distribution and refractive index obtained from actual bistatic LIDAR data.

AB - The inverse problem of deducing atmospheric particulate properties from bistatic LIDAR angular scattering measurements is investigated, and certain scattering functions are identified as being particularly sensitive to particle size and/or particle refractive index. Methods are presented for retrieving the particle size distribution and refractive index from these scattering functions. Examples are also given of retrievals of particle size distribution and refractive index obtained from actual bistatic LIDAR data.

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Bistatic LIDAR: A Tool for Characterizing Atmospheric Particulates: Part II-The Inverse Problem

Abstract

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