scholarly journals CH4 IPDA Lidar mission data simulator and processor for MERLIN: prototype development at LMD/CNRS/Ecole Polytechnique

2018 ◽  
Vol 176 ◽  
pp. 02016
Author(s):  
Chomette Olivier ◽  
Raymond Armante ◽  
Cyril Crevoisier ◽  
Thibault Delahaye ◽  
Dimitri Edouart ◽  
...  

The MEthane Remote sensing Lidar missioN (MERLIN), currently in phase C, is a joint cooperation between France and Germany on the development of a spatial Integrated Path Differential Absorption (IPDA) LIDAR (LIght Detecting And Ranging) to conduct global observations of atmospheric methane. This presentation will focus on the status of a LIDAR mission data simulator and processor developed at LMD (Laboratoire de Météorologie Dynamique), Ecole Polytechnique, France, for MERLIN to assess the performances in realistic observational situations.

2021 ◽  
Author(s):  
Oleg A. Romanovskii ◽  
Sergey A. Sadovnikov ◽  
Semyon V. Yakovlev ◽  
Dmitry A. Tuzhilkin ◽  
Ol'ga V. Kharchenko ◽  
...  

2021 ◽  
Vol 13 (4) ◽  
pp. 572
Author(s):  
Gintautas Mozgeris ◽  
Ivan Balenović

The pre-requisite for sustainable management of natural resources is the availability of timely, cost-effective, and comprehensive information on the status and development trends of the management object [...]


2021 ◽  
Vol 10 (3) ◽  
pp. 185
Author(s):  
Chenyang Zhang ◽  
Qingli Shi ◽  
Li Zhuo ◽  
Fang Wang ◽  
Haiyan Tao

Information on the mixed use of buildings helps understand the status of mixed-use urban vertical land and assists in urban planning decisions. Although a few studies have focused on this topic, the methods they used are quite complex and require manual intervention in extracting different function patterns of buildings, while building recognition rates remain unsatisfying. In this paper, we propose a new method to infer the mixed use of buildings based on a tensor decomposition algorithm, which integrates information from both high-resolution remote sensing images and social sensing data. We selected the Tianhe District of Guangzhou, China to validate our method. The results show that the recognition rate of buildings can reach 98.67%, with an average recognition accuracy of 84%. Our study proves that the tensor decomposition algorithm can extract different function patterns of buildings unsupervised, while remote sensing data can provide key information for inferring building functions. The tensor decomposition-based method can serve as an effective and efficient way to infer the mixed use of buildings, which can achieve better results with simpler steps.


2021 ◽  
Vol 8 ◽  
pp. 248-253
Author(s):  
Valerik S. Ayrapetyan ◽  
Alexander V. Makeev

A scheme of a lidar complex for remote identification of explosives by the method of differential absorption and scattering is proposed. Calculation studies on remote sensing of spectroscopic parameters of some hazardous chemicals have been carried out.


2021 ◽  
Vol 4 (1) ◽  
pp. 11-23
Author(s):  
Hongwei Liu ◽  
AbuBakr S. Bahaj

Marine current energy conversion (MCEC) technologies are promising renewable energy systems with some full scale and semi-commercial turbines constructed and deployed in several countries around the world. In this work, we present the status of marine current energy and systems in China and policies geared to support these. Over the past ten years the Chinese government has provided a policy framework and financial supports for the development of MCEC technologies of various design philosophies which has resulted in significant technology deployment at sea. A review of these technologies – which have turbine capacities in the range 20 kW to 650 kW, mostly tested at sea – is presented in the paper. In addition, the paper also discusses Chinese plans for marine energy test sites at sea to support prototype development and testing and concludes with a view of future prospects for the marine energy technology deployment in China.


Sign in / Sign up

Export Citation Format

Share Document