scholarly journals OSIRIS: a European project using a High Altitude Platform for forest fire monitoring

2007 ◽  
Author(s):  
N. Lewyckyj ◽  
J. Biesemans ◽  
J. Everaerts
Keyword(s):  
High Altitude ◽  
Forest Fire ◽  
Fire Monitoring ◽  
High Altitude Platform ◽  
European Project

A 2 × 20 Gbps hybrid MDM-OFDM–based high-altitude platform-to-satellite FSO transmission system

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Vel Murugan Gomathy ◽  
T. V. Paramasivam Sundararajan ◽  
C. Sengodan Boopathi ◽  
Pandiyan Venkatesh Kumar ◽  
Krishnamoorthy Vinoth Kumar ◽  
...  
Keyword(s):  
High Altitude ◽  
Orthogonal Frequency Division Multiplexing ◽  
High Speed ◽  
Satellite Communication ◽  
Input Power ◽  
Transmission System ◽  
Communication Link ◽  
Space Optics ◽  
High Altitude Platform ◽  
Mode Division Multiplexing

AbstractIn the present study, the application of free space optics (FSO) transmission system to realize a long-reach high-altitude platform (HAP)-to-satellite communication link has been exploited. High-speed information transmission without interference is accomplished using orthogonal frequency division multiplexing (OFDM). Further, the information capacity of the proposed system is increased by employing mode division multiplexing (MDM). We have investigated the proposed MDM-OFDM-HAP-to-satellite FSO transmission system performance over varying FSO range, diameter of the receiver, pointing errors, and input power. Also, an improved transmission performance of the proposed system using a square root module is reported.

Construction of a multi-source heterogeneous hybrid platform for big data

2021 ◽  
pp. 1-10
Author(s):  
Ying Wang ◽  
Yiding Liu ◽  
Minna Xia
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Forest Fire ◽  
Original Data ◽  
Big Data Analysis ◽  
Multiple Sources ◽  
Data Types ◽  
Fire Monitoring ◽  
Data Platform

Big data is featured by multiple sources and heterogeneity. Based on the big data platform of Hadoop and spark, a hybrid analysis on forest fire is built in this study. This platform combines the big data analysis and processing technology, and learns from the research results of different technical fields, such as forest fire monitoring. In this system, HDFS of Hadoop is used to store all kinds of data, spark module is used to provide various big data analysis methods, and visualization tools are used to realize the visualization of analysis results, such as Echarts, ArcGIS and unity3d. Finally, an experiment for forest fire point detection is designed so as to corroborate the feasibility and effectiveness, and provide some meaningful guidance for the follow-up research and the establishment of forest fire monitoring and visualized early warning big data platform. However, there are two shortcomings in this experiment: more data types should be selected. At the same time, if the original data can be converted to XML format, the compatibility is better. It is expected that the above problems can be solved in the follow-up research.

Infra-red line camera data-driven edge detector in UAV forest fire monitoring

2021 ◽  
Vol 111 ◽  
pp. 106574
Author(s):  
Francesco De Vivo ◽  
Manuela Battipede ◽  
Eric Johnson
Keyword(s):  
Forest Fire ◽  
Data Driven ◽  
Edge Detector ◽  
Fire Monitoring ◽  
Infra Red ◽  
Red Line

scholarly journals Aerial RIS-Assisted High Altitude Platform Communications

2021 ◽  
pp. 1-1
Author(s):  
Ning Gao ◽  
Shi Jin ◽  
Xiao Li ◽  
Michail Matthaiou
Keyword(s):  
High Altitude ◽  
High Altitude Platform
Sign in / Sign up

Export Citation Format

Share Document