Pressure Measurements Using an Airborne Differential Absorption Lidar. Part 1; Analysis of the Systematic Error Sources


Book Description

Remote airborne measurements of the vertical and horizontal structure of the atmospheric pressure field in the lower troposphere are made with an oxygen differential absorption lidar (DIAL). A detailed analysis of this measurement technique is provided which includes corrections for imprecise knowledge of the detector background level, the oxygen absorption fine parameters, and variations in the laser output energy. In addition, we analyze other possible sources of systematic errors including spectral effects related to aerosol and molecular scattering interference by rotational Raman scattering and interference by isotopic oxygen fines.Flamant, Cyrille N. and Schwemmer, Geary K. and Korb, C. Laurence and Evans, Keith D. and Palm, Stephen P.Goddard Space Flight CenterREMOTE SENSING; ATMOSPHERIC PRESSURE; PRESSURE MEASUREMENT; VERTICAL DISTRIBUTION; DIFFERENTIAL ABSORPTION LIDAR; RAMAN SPECTRA; AEROSOLS; TROPOSPHERE; SYSTEMATIC ERRORS; OPTICAL RADAR




Laser Radar II


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Physics Briefs


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Meteorological and Geoastrophysical Abstracts


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Covering the world's literature on meteorology, climatology, atmospheric chemistry and physics, physical oceanography, hydrology, glaciology, and related environmental sciences.







Optics Letters


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Optics Index


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Advances in Airborne Lidar Systems and Data Processing


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This book collects the papers in the special issue "Airborne Laser Scanning" in Remote Sensing (Nov. 2016) and several other selected papers published in the same journal in the past few years. Our intention is to reflect recent technological developments and innovative techniques in this field. The book consists of 23 papers in six subject areas: 1) Single photon and Geiger-mode Lidar, 2) Multispectral lidar, 3) Waveform lidar, 4) Registration of point clouds, 5) Trees and terrain, and 6) Building extraction. The book is a valuable resource for scientists, engineers, developers, instructors, and graduate students interested in lidar systems and data processing.