Experimental estimation of the efficiency of trace gas sounding in the mid-IR by the OPO lidar system

2018 ◽  
Author(s):  
Semyon V. Yakovlev ◽  
Oleg A. Romanovskii ◽  
Sergey Sadovnikov
Keyword(s):  
Trace Gas ◽  
Lidar System ◽  
Experimental Estimation

A SIMPLE DEVICE FOR TRACE GAS ANALYSES IN THE ATMOSPHERE

1983 ◽  
Vol 44 (C6) ◽  
pp. C6-587-C6-591
Author(s):  
D. Sourlier ◽  
O. Oehler
Keyword(s):  
Simple Device ◽  
Trace Gas

MEDUSA Trace Gas with Merged 1-second Data

2011 ◽  
Author(s):  
S.C. Wofsy, ◽  
B. Stephens, ◽  
R. Keeling, ◽  
J. Bent,
Keyword(s):  
Trace Gas

Registration and Fusion of UAV LiDAR System Sequence Images and Laser Point Clouds

2020 ◽  
Author(s):  
Jiayong Yu ◽  
Longchen Ma ◽  
Maoyi Tian, ◽  
Xiushan Lu
Keyword(s):  
Point Cloud ◽  
Image Data ◽  
Point Clouds ◽  
Optical Image ◽  
Point Cloud Data ◽  
Feature Points ◽  
Lidar System ◽  
Registration Accuracy ◽  
Cloud Data ◽  
Intensity Image

The unmanned aerial vehicle (UAV)-mounted mobile LiDAR system (ULS) is widely used for geomatics owing to its efficient data acquisition and convenient operation. However, due to limited carrying capacity of a UAV, sensors integrated in the ULS should be small and lightweight, which results in decrease in the density of the collected scanning points. This affects registration between image data and point cloud data. To address this issue, the authors propose a method for registering and fusing ULS sequence images and laser point clouds, wherein they convert the problem of registering point cloud data and image data into a problem of matching feature points between the two images. First, a point cloud is selected to produce an intensity image. Subsequently, the corresponding feature points of the intensity image and the optical image are matched, and exterior orientation parameters are solved using a collinear equation based on image position and orientation. Finally, the sequence images are fused with the laser point cloud, based on the Global Navigation Satellite System (GNSS) time index of the optical image, to generate a true color point cloud. The experimental results show the higher registration accuracy and fusion speed of the proposed method, thereby demonstrating its accuracy and effectiveness.

Long Term Planning for the ExoMars Trace Gas Orbiter Mission: Opportunity Analysis and Observation Scheduling

2018 ◽  
Author(s):  
Bernhard Geiger ◽  
Alejandro Cardesin Moinelo ◽  
David Frew ◽  
Mike Ashman ◽  
Juan Jose Garcia Beteta ◽  
...  
Keyword(s):  
Trace Gas ◽  
Orbiter Mission
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