Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Remote measurements of aerosol back-scattering with a 0.2-J CO2 airborne lidar

Open Access Open Access

Abstract

An airborne DIAL system with two-color CO2 lasers has been developed for remote sensing of 3-D ozone distribution in the lower troposphere. It is an active nadir-directed system, designed to use tropospheric aerosols as the distributed radar target. A twin-engine Aero-Commander was selected to carry the system. The transmitter of the DIAL is composed of two mini TEA CO2 lasers and a telescope. Typical output energy of the laser with a SiC ceramic preionizer is 200 mJ. The receiving telescope has an almost diffraction-limited primary mirror with a diameter of 300 mm and an f/No. of 2 to collect photons efficiently. The signal is detected with a 1-X 1-mm HgCdTe detector by means of direct detection. For the first step of our DIAL system development we built an airborne one-color CO2 lidar and made flight tests of the lidar to detect tropospheric aerosol backscattering at 10.6-μm wavelength. Flight tests were successfully conducted in February 1985 over the Tokyo area at an altitude of 5000 ft(1.7 km). Results of the flight test showed that height profiles of receiving power corrected by a range-squared over ocean were more variable than those over land. We discuss more details of the flight test.

© 1985 Optical Society of America

PDF Article
More Like This
Airborne Lidar Measurements of Atmospheric Gases and Aerosols

Edward V. Browell
WB1 Optical Remote Sensing (HISE) 1985

Airborne Lidar Measurements of Ozone and Aerosol Profiles in the Troposphere and Lower Stratosphere

E. V. Browell, S. T. Shipley, A. F. Carter, and C. F. Butler
TGRDT60 International Laser Radar Conference (LRC) 1982

Airborne Coherent CO2 Lidar for Measurements of Aerosol Backscatter Profiles

Robert T. Menzies
ThB4 Coherent Laser Radar (CLR) 1987

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.