A novel lidar system for CH4 and VOC's detection of fugitive emissions and environmental monitoring

2018 ◽  
Author(s):  
Eduardo Landulfo ◽  
Roberto Guardani ◽  
Fernanda M. Macedo ◽  
Renata F. da Costa ◽  
Antonio G. Arleques ◽  
...  
Keyword(s):  
Environmental Monitoring ◽  
Fugitive Emissions ◽  
Lidar System

scholarly journals Mobile lidar system for environmental monitoring

2018 ◽  
Vol 176 ◽  
pp. 07002
Author(s):  
Guangyu Zhao ◽  
Ming Lian ◽  
Yiyun Li ◽  
Zheng Duan ◽  
Shiming Zhu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Environmental Monitoring ◽  
Nd:Yag Laser ◽  
Field Experiments ◽  
Laser Induced Fluorescence ◽  
Dye Laser ◽  
Lidar System ◽  
Sensing System ◽  
Atomic Mercury

A versatile mobile remote sensing system for multidisciplinary environmental monitoring tasks on the Chinese scene is described. The system includes a 20 Hz Nd:YAG laser-pumped dye laser, optical transmitting/receiving systems with a 30 cm and a 40 cm Newtonian telescope, and electronics, all integrated in a laboratory, installed on a Jiefang truck. Results from field experiments on atomic mercury DIAL mapping and remote laser-induced fluorescence and break-down spectroscopy are given.

scholarly journals Versatile mobile lidar system for environmental monitoring

2003 ◽  
Vol 42 (18) ◽  
pp. 3583 ◽  
Author(s):  
Petter Weibring ◽  
Hans Edner ◽  
Sune Svanberg
Keyword(s):  
Environmental Monitoring ◽  
Lidar System

Compact multipurpose lidar system for environmental monitoring

1986 ◽  
Author(s):  
P. Mazzinghi ◽  
M. Vannini ◽  
F. Castagnoli ◽  
G. Cecchi ◽  
M. Morandi ◽  
...  
Keyword(s):  
Environmental Monitoring ◽  
Lidar System

scholarly journals Mobile lidar system for environmental monitoring

2017 ◽  
Vol 56 (5) ◽  
pp. 1506 ◽  
Author(s):  
Guangyu Zhao ◽  
Ming Lian ◽  
Yiyun Li ◽  
Zheng Duan ◽  
Shiming Zhu ◽  
...  
Keyword(s):  
Environmental Monitoring ◽  
Lidar System

Economic models of Environment monitoring under imperfect information and high Costs

2014 ◽  
pp. 99-122
Author(s):  
M. Levin ◽  
K. Matrosova
Keyword(s):  
Environmental Monitoring ◽  
Environmental Regulation ◽  
Environmental Economics ◽  
Imperfect Information ◽  
Central Element ◽  
Economic Models ◽  
Environment Monitoring ◽  
Nature Protection ◽  
Protection Measures ◽  
Effective System

The paper considers monitoring of environmental change as the central element of environmental regulation. Monitoring, as each kind of principalagent relations, easily gives rise to corruptive behavior. In the paper we analyze economic models of environmental monitoring with high costs, incomplete information and corruption. These models should be the elements of environmental economics and are needed to create an effective system of nature protection measures.

Energy Management in Sensor Networks for Environmental Monitoring.

2008 ◽  
Vol 1 (1) ◽  
pp. 20-41
Author(s):  
G. ANASTASI ◽  
M. CONTI ◽  
M. DI FRANCESCO ◽  
E. GREGORI ◽  
A. PASSARELLA
Keyword(s):  
Sensor Networks ◽  
Environmental Monitoring ◽  
Energy Management

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.

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