Paper
22 December 1997 Laser ranging and remote sensing
Ulrich Schreiber, Birgit Bardorf, Stefan Riepl, Karl-Heinz Haufe
Author Affiliations +
Proceedings Volume 3218, Laser Radar Ranging and Atmospheric Lidar Techniques; (1997) https://doi.org/10.1117/12.295654
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom
Abstract
From the analysis of dual color range measurements to satellites it was found that the correlation between the locally measured humidity and the obtained differences between the two simultaneously carried out range measurements at (lambda) equals 1.06 micrometers and (lambda) equals 0.53 micrometers was relatively high, while the more obvious parameter atmospheric pressure did not correlate well. A model for the refractive index of the atmosphere along the line of sight is used to reduce the measurements to real ranges. However, these corrections are based on assumptions for the profiles of pressure temperature and humidity, starting from measured values at the ground near the ranging station. Since the refractive index is strongly dependent on the density of the atmosphere the profile of the atmospheric pressure is represented extremely well in this model. However this is not necessarily the case for the water vapor content and the atmospheric correction model is not sensitive to this parameter. It is to be expected, that most of the influence of the water vapor is coming from the lower troposphere, so remote sensing techniques promise to fill a gap here. By using the slr-station in a way, that permits the detection of Raman backscattering, water vapor profiles of the lower troposphere were obtained and compared to the atmospheric correction model.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ulrich Schreiber, Birgit Bardorf, Stefan Riepl, and Karl-Heinz Haufe "Laser ranging and remote sensing", Proc. SPIE 3218, Laser Radar Ranging and Atmospheric Lidar Techniques, (22 December 1997); https://doi.org/10.1117/12.295654
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KEYWORDS
Atmospheric modeling

Ranging

Remote sensing

Water

Atmospheric corrections

Humidity

Refractive index

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