Remote sensing and spatial decision support system for environmental degradation monitoring

Simões, Marcelo Luiz; Gilson, A.P.; Singh, Dharmendra; Singh, Kulveer; Heitor, L.C.C.; Fraga, E.; Berroir, Jean-Paul; Herlin, Isabelle; Vieira, H.V.; Santos, U.P.

doi:10.1109/igarss.2003.1294348

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…A general introduction to integrated decision support systems for environment planning is provided in Kainuma et al (1990). Applications of EDSSs include prevention of soil salinization Xiao & Yimit (2008), regional environment risk management in municipal areas Wang & Cheng (2010), and environmental degradation monitoring Simoes et al (2003). Examples particularly relevant to this book chapter are Xiao & Yimit (2008), which presents an integrated EDSS for water resource utilization and groundwater control; and Serment et al (2006), which defines the major functionalities for an EDSS dedicated to the hydraulic management of the Camargue ecosystem.…”

Section: Related Workmentioning

confidence: 99%

Integrated Cyber-Physical Simulation of Intelligent Water Distribution Networks

Lin¹,

Sedigh²,

Miller³

2011

Scientific and Engineering Applications Using MATLAB

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Section: Related Workmentioning

confidence: 99%

Integrated Cyber-Physical Simulation of Intelligent Water Distribution Networks

Lin¹,

Sedigh²,

Miller³

2011

Scientific and Engineering Applications Using MATLAB

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“…For planning purposes most of the examples of SDSS have been calibrated for the regional scale in a very case-specific way for solving one, or only a few, functional problems; for example, Fedra and Feoli (1998) for coastal zone management and Simoes (2002) for monitoring purposes. Methodological procedures have been developed for decision support for the water catchment management recently in Germany for the River Elbe (Kofalk et al, 2004) and the River Havel (Havel Management) (Stock & Lahmer, 2003).…”

Section: Introductionmentioning

confidence: 99%

MULBO: Model framework for multicriteria landscape assessment and optimisation. A support system for spatial land use decisions

Meyer

Grabaum²

2008

Landscape Research

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The model framework MULBO (Multicriteria Landscape Assessment and Optimisation) is a spatially explicit decision support method on the basis of risk evaluations for landscape functions. Its principal purpose is the establishment of optimal land use patterns as scenarios, which are balanced compromises between conflicting goals for the reduction of assessed risks. A user manual for MULBO has been developed which contains the individual assessment tools, the landscape optimisation method LNOPT 2.0, a multiplicity of applications, as well as information about data and techniques. After an introductory discussion of fundamentals for spatial decision-making, the methods and contents of MULBO are presented and discussed on basis of applications in a rural area in the southern part of Saxony-Anhalt (Germany). An applied project converts the scenario results recently into possible practices.

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“…The air we breathe, the water we drink and the food we eat are now so polluted that millions of people, wildlife and the entire ecosystem are subjected to rapidly degrading health and living conditions [2]. Scientists and technologists are therefore deeply involved with the design of environmental monitoring systems to understand the pollution agents and processes and numerous instrumental methods for laboratory analysis and theoretical interpretation have been developed [4].…”

Section: Introductionmentioning

confidence: 99%

A novel design of a portable double beam-in-time spectrometric sensor platform with cloud connectivity for environmental monitoring applications

Kar

2015

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)

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A novel concept of an integrated spectrometric sensor platform is presented in this paper. The design and functioning of the proposed hardware and software for this instrument are discussed and its application prospects are investigated. It is designed to be a compact, portable and remotely operable sensing system, comprising of high resolution spectral and environmental sensors. In addition, it has the possibilities of internet connectivity and cloud based data access to users from far away operation sites. Thereby it is possible to perform measurements of environmental variables, real time online data visualization and storage of collected data with this system, which is a most unique feature of any such cloud based environmental sensing system developed until this time. With the open source and powerful data and spectrum analyzing software, this system is envisioned to be a highly potential and effective tool for monitoring of the environment-such as air quality, water pollutants, oil spills and many interdisciplinary fields.

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Remote sensing and spatial decision support system for environmental degradation monitoring

Cited by 6 publications

References 6 publications

Integrated Cyber-Physical Simulation of Intelligent Water Distribution Networks

Integrated Cyber-Physical Simulation of Intelligent Water Distribution Networks

MULBO: Model framework for multicriteria landscape assessment and optimisation. A support system for spatial land use decisions

A novel design of a portable double beam-in-time spectrometric sensor platform with cloud connectivity for environmental monitoring applications

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