Design of a landslide disaster remote monitoring and forecasting system

2015 ◽  
pp. 593-597
Author(s):  
G Sun ◽  
G Zhu ◽  
Z Tao
Keyword(s):  
Remote Monitoring ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Landslide Disaster

scholarly journals Poseidon: A marine environmental monitoring, forecasting and information system for the Greek seas

2000 ◽  
Vol 1 (1) ◽  
pp. 71 ◽  
Author(s):  
T.H. SOUKISSIAN ◽  
G. CHRONIS
Keyword(s):  
Marine Ecosystem ◽  
Coastal Zone Management ◽  
Aegean Sea ◽  
Sea Transport ◽  
Marine Research ◽  
Zone Management ◽  
Operational Oceanography ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Marine Environmental

The scope of this work is twofold: i) to discuss and analyze some principles, issues and problems related to the development and advancement of Operational Oceanography in Greece and ii) to present a real-time monitoring and forecasting system for the Aegean Sea, which is currently under implementation. Operational Oceanography in Greece has become a necessity today, since it can provide aid to find solutions on problems related to societal, economic, environmental and scientific issues. Most of the Greek coastal regions are under pressure, susceptible to damages due to the increasing tendency of the population to move from the inland to the coast, marine environmental pollution, competitive development of the coastal market sector, etc. Moreover, the complex geomorphology of the coastal areas and the interdependence between natural processes and human activities causes significant alterations in this delicate environment. A rational treatment of these problems can be based on integrated coastal zone management (ICZM). An absolutely necessary means for establishing ICZM is the operation of marine moni- toring systems. Such a system ("POSEIDON system") is under implementation by the National Centre for Marine Research. POSEIDON is a comprehensive marine monitoring and forecasting system, that aims to improve environmental surveillance and facilitate sea transport, rescue and safety of life at sea, fishing and aquaculture, protection of the marine ecosystem, etc. POSEIDON is expected to enhance considerably the capabilities to manage, protect and develop the marine resources of the Greek Seas and to promote Greek Operational Oceanography.

Using Grid Computing and Satellite Remote Sensing in Evapotranspiration Estimation

2015 ◽  
pp. 145-173
Author(s):  
Cristina Serban ◽  
Carmen Maftei
Keyword(s):  
Remote Sensing ◽  
Grid Computing ◽  
Land Surface ◽  
Essential Role ◽  
Satellite Image ◽  
Vegetation Indices ◽  
Computing Services ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Evapotranspiration Estimation

The most advanced and applicable approach today in the development of environmental monitoring programs is the integration of remote sensing and Grid computing services into a monitoring and forecasting system that helps the analyst to understand the problem without being a remote sensing or computer expert. In this chapter we present the main features of Grid computing and how we can use it in conjunction with remote sensing to develop several applications that will estimate ET (Evapotranspiration), LST (Land Surface Temperature) and some vegetation indices (VI's) directly from a satellite image, these parameters playing an essential role in all activities related to water resources management.

The Design of Landslide Hazard Remote Monitoring System Based on STM32 MCU and GPRS

2014 ◽  
Vol 599-601 ◽  
pp. 1115-1119 ◽  
Author(s):  
Jing Luo Cai ◽  
Guan Li ◽  
Xiang Li Bu ◽  
Xian Guo Liu ◽  
Hua Lu Xing
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Landslide Hazard ◽  
Remote Monitoring System ◽  
Geological Disaster ◽  
Disaster Monitoring ◽  
Stable Performance ◽  
Slope Displacement ◽  
Landslide Disaster

By studying the occurrence and distribution of landslide disaster, remote monitoring system for landslide hazard was developed which using STM32 microcomputer and GPRS comunication technology. The changes of slope inclination, slope displacement and rainfall were acquained in real time. Experimental results showed that the use of the system on the slope of geological disaster monitoring is convenient and with stable performance.

scholarly journals TOWARD A MONITORING AND FORECASTING SYSTEM FOR ATMOSPHERIC COMPOSITION

2008 ◽  
Vol 89 (8) ◽  
pp. 1147-1164 ◽  
Author(s):  
A. Hollingsworth ◽  
R. J. Engelen ◽  
C. Textor ◽  
A. Benedetti ◽  
O. Boucher ◽  
...  
Keyword(s):  
Atmospheric Composition ◽  
Monitoring And Forecasting ◽  
Forecasting System

The Development and Application of Real-Time Monitoring and Forecasting System of Urban Air Quality

2012 ◽  
Vol 201-202 ◽  
pp. 586-589
Author(s):  
Rui Lian Hou
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Urban Air Quality ◽  
Urban Air ◽  
Real Time Monitoring ◽  
Network Database ◽  
Low Energy Consumption ◽  
Function Modules ◽  
Monitoring And Forecasting ◽  
Forecasting System

Underlying on the technologies of internet, network database and GIS, this paper presents the total solution of the development of the real-time monitoring and forecasting system model of urban air quality, which fulfils the requirements to low energy consumption and quick response and provides reference for similar project research.The paper systematically describes the system target,background of the development,running environment choice of the software, process of the development etc.Then it analyses function modules of the system.At last it gives the structures and implementation methods of the system’s database and the system security solution.This system not only can generate the state analysis reports and the early warning, but also can visualize the data analysing of the air quality by GIS.

scholarly journals An Electrical Energy Consumption Monitoring and Forecasting System

2016 ◽  
Vol 6 (5) ◽  
pp. 1130-1132
Author(s):  
J. L. Rojas-Renteria ◽  
T. D. Espinoza-Huerta ◽  
F. S. Tovar-Pacheco ◽  
J. L. Gonzalez-Perez ◽  
R. Lozano-Dorantes
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Grid Technology ◽  
Electrical Energy Consumption ◽  
Accurate Forecast ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Smart Grid Technology

Electricity consumption is currently an issue of great interest for power companies that need an as much as accurate profile for controlling the installed systems but also for designing future expansions and alterations. Detailed monitoring has proved to be valuable for both power companies and consumers. Further, as smart grid technology is bound to result to increasingly flexible rates, an accurate forecast is bound to prove valuable in the future. In this paper, a monitoring and forecasting system is investigated. The monitoring system was installed in an actual building and the recordings were used to design and evaluate the forecasting system, based on an artificial neural network. Results show that the system can provide detailed monitoring and also an accurate forecast for a building’s consumption.

Using Grid Computing and Satellite Remote Sensing in Evapotranspiration Estimation

Biometrics ◽  
2017 ◽  
pp. 994-1016
Author(s):  
Cristina Serban ◽  
Carmen Maftei
Keyword(s):  
Remote Sensing ◽  
Grid Computing ◽  
Land Surface ◽  
Essential Role ◽  
Satellite Image ◽  
Vegetation Indices ◽  
Computing Services ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Evapotranspiration Estimation

The most advanced and applicable approach today in the development of environmental monitoring programs is the integration of remote sensing and Grid computing services into a monitoring and forecasting system that helps the analyst to understand the problem without being a remote sensing or computer expert. In this chapter we present the main features of Grid computing and how we can use it in conjunction with remote sensing to develop several applications that will estimate ET (Evapotranspiration), LST (Land Surface Temperature) and some vegetation indices (VI's) directly from a satellite image, these parameters playing an essential role in all activities related to water resources management.

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