Automated Integration of Geosensors with the Sensor Web to Facilitate Flood Management

Broering, A.; Beltrami, Pablo; Lemmens, Rob; Jirka, Simon

doi:10.5772/30472

Cited by 8 publications

(10 citation statements)

References 11 publications

(7 reference statements)

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“…Continuous-level transducers monitor the liquid level in an unceasing fashion as long as the liquid surface will be within its sensing range. Some known technologies used for continuous monitoring were: floating sensors [5,9]; pressure-based sensors [8,10,21]; ultrasonic-level sensors [17]; and capacitive sensors [4,6,[11][12][13]22].…”

Section: Introductionmentioning

confidence: 99%

Investigation on the performance of a multi-wire water level detection system using contact sensing for river water monitoring

Tabada

Loretero

Lasta³

2019

SN Appl. Sci.

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The complexity of the method used in remote sensing for flood monitoring is associated with the necessity of requiring expert services and costly unique facilities. Satellite-based imagery methods still need ground verifications for data comparison which would simply imply that in situ approaches were still reliable. This study investigates the operability of a designed contact-type sensing system using conductor wires intended for water level monitoring in rivers. Although the presented system has been a common concept, factual conclusions of its outdoor operability were unheard and undocumented on fluvial experimentations as most commercially available contact-type water level devices were intended for water tank monitoring only. The sensing accuracy and monitoring reliability have been proven in this study through outdoor experimentations. The detection time, the reading ability and the physical condition of the sensing device were tested under harsh outdoor environment. The increase in water level at a faster rate can be easily detected by the system only at microseconds (µs) range. Likewise, the efficacy of the system to detect the increase and decrease in the water level was proven to work out as actual flood simulation was conducted. The reading stability was also tested by measuring the output voltage of the circuit. It resulted in only 0.22 to 0.31 DC voltage drops recorded between similar level probes (e.g., from Day 1 to Day 30 of all Level 1s) on the sampled 5 wire probes which is just an insignificant loss factor to the operation of the device. In general, the device worked well in accordance with its functionality. The physical condition of the designed system was proven to be reliable as it continuously transmits data up to present.

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Section: Introductionmentioning

confidence: 99%

Investigation on the performance of a multi-wire water level detection system using contact sensing for river water monitoring

Tabada

Loretero

Lasta³

2019

SN Appl. Sci.

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“…SWE, therefore, can be utilized as the basis for a sensor web, an infrastructure that hides the underlying architecture, the network communication mechanisms and the heterogeneous sensor hardware from the applications built on top [17]. Although most realizations of a sensor web originate in other fields of research and for large-scale scenarios, e.g., oil spill disasters [18], flood management [19] or general risk management [20], recent studies proved the adaptability for the agricultural domain, operating in even smaller contexts [21].…”

Section: Introductionmentioning

confidence: 99%

A Sensor Web-Enabled Infrastructure for Precision Farming

Geipel

Jackenkroll

Weis

et al. 2015

IJGI

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The use of sensor technologies is standard practice in the domain of precision farming. The variety of vendor-specific sensor systems, control units and processing software has led to increasing efforts in establishing interoperable sensor networks and standardized sensor data infrastructures. This study utilizes open source software and adapts the standards of the Open Geospatial Consortium to introduce a method for the realization of a sensor data infrastructure for precision farming applications. The infrastructure covers the control of sensor systems, the access to sensor data, the transmission of sensor data to web services and the standardized storage of sensor data in a sensor web-enabled server. It permits end users and computer systems to access the sensor data in a well-defined way and to build applications on top of the sensor web services. The infrastructure is scalable to large scenarios, where a multitude of sensor systems and sensor web services are involved. A real-world field trial was set-up to prove the applicability of the infrastructure.

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“…The sensor web describes an infrastructure [4] in which sensor data and metadata can be published and made accessible to anyone [5]. One of the basic functions of the sensor web is to discover sensors that enable users to find the sensor resources of interest.…”

Section: Introductionmentioning

confidence: 99%

An Observation Capability Metadata Model for EO Sensor Discovery in Sensor Web Enablement Environments

Guan

Chen

et al. 2014

Remote Sensing

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Accurate and fine-grained discovery by diverse Earth observation (EO) sensors ensures a comprehensive response to collaborative observation-required emergency tasks. This discovery remains a challenge in an EO sensor web environment. In this study, we propose an EO sensor observation capability metadata model that reuses and extends the existing sensor observation-related metadata standards to enable the accurate and fine-grained discovery of EO sensors. The proposed model is composed of five sub-modules, namely, ObservationBreadth, ObservationDepth, ObservationFrequency, ObservationQuality and ObservationData. The model is applied to different types of EO sensors and is formalized by the Open Geospatial Consortium Sensor Model Language 1.0. The GeosensorQuery prototype retrieves the qualified EO sensors based on the provided geo-event. An actual application to flood emergency observation in the Yangtze River Basin in China is conducted, and the results indicate that sensor inquiry can accurately achieve fine-grained discovery of qualified EO sensors and obtain enriched observation capability information. In summary, the proposed model enables an efficient encoding system that ensures minimum

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Automated Integration of Geosensors with the Sensor Web to Facilitate Flood Management

Cited by 8 publications

References 11 publications

Investigation on the performance of a multi-wire water level detection system using contact sensing for river water monitoring

Investigation on the performance of a multi-wire water level detection system using contact sensing for river water monitoring

A Sensor Web-Enabled Infrastructure for Precision Farming

An Observation Capability Metadata Model for EO Sensor Discovery in Sensor Web Enablement Environments

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