OpenSense

Aberer, Karl; Sathe, Saket; Chakraborty, Dipanjan; Martinoli, Alcherio; Barrenetxea, Guillermo; Faltings, Boi; Thiele, Lothar

doi:10.1145/1878500.1878509

Cited by 97 publications

(6 citation statements)

References 12 publications

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“…Other studies (e.g. Ho et al , ; Aberer et al , ; Rada et al , ; Devarakonda et al , ) have used vehicles and other moving platforms to host sensors for monitoring air quality. Overall, miniaturization of the sensors used in these studies creates opportunities for smaller mobile platforms to be used for traditional observations as well as crowdsourcing (e.g.…”

Section: Current Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Crowdsourcing for climate and atmospheric sciences: current status and future potential

Muller

Chapman

Johnston³

et al. 2015

Intl Journal of Climatology

302

259

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Crowdsourcing is traditionally defined as obtaining data or information by enlisting the services of a (potentially large) number of people. However, due to recent innovations, this definition can now be expanded to include ‘and/or from a range of public sensors, typically connected via the Internet.’ A large and increasing amount of data is now being obtained from a huge variety of non‐traditional sources – from smart phone sensors to amateur weather stations to canvassing members of the public. Some disciplines (e.g. astrophysics, ecology) are already utilizing crowdsourcing techniques (e.g. citizen science initiatives, web 2.0 technology, low‐cost sensors), and while its value within the climate and atmospheric science disciplines is still relatively unexplored, it is beginning to show promise. However, important questions remain; this paper introduces and explores the wide‐range of current and prospective methods to crowdsource atmospheric data, investigates the quality of such data and examines its potential applications in the context of weather, climate and society. It is clear that crowdsourcing is already a valuable tool for engaging the public, and if appropriate validation and quality control procedures are adopted and implemented, it has much potential to provide a valuable source of high temporal and spatial resolution, real‐time data, especially in regions where few observations currently exist, thereby adding value to science, technology and society.

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Section: Current Approachesmentioning

confidence: 99%

“…There are many potential societal, environmental and economic applications of crowdsourced data (Table ) – including public health (e.g. OpenSense air quality monitoring: Aberer et al ., ), infrastructure (e.g. Climate resilience: Chapman et al ., ), education (e.g.…”

Section: Applications and Potential Innovationsmentioning

confidence: 99%

Crowdsourcing for climate and atmospheric sciences: current status and future potential

Muller

Chapman

Johnston³

et al. 2015

Intl Journal of Climatology

302

259

View full text Add to dashboard Cite

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“…In 2012, research took place by mounting a high precision Low Power Greenhouse Gas laser sensor onto UAVs [7]. Several researchers have also taken advantage of the measurement device data by producing spatial representations [8] [9].…”

Section: Previous Studymentioning

confidence: 99%

Air Quality Study at Different Elevation Levels Using Drone Payload Air Quality Measurement Device (D-PAQ)

M. Zahari,

A Aiman,

Nurhikmah

et al. 2023

KSS

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Construction sites can be found in both urban and rural areas, often in close proximity to residences. They can thus cause home pollution due to the distance and the materials used. This study aims to visualize PM2.5, PM10, temperature and humidity by producing air quality mapping and correlating parameters at the stadium and construction site. An Arduino-based air quality measurement payload device was developed to measure the air quality by different levels. The drone was used to collect air quality data by mounting the device to the drone. Measurements were taken at three different elevations for each study area, and the application software generates the air quality map based on the location coordinates. The correlation evaluation of the concentration of PM2.5 and PM10 with temperature and humidity was then determined. The results showed that the concentrations of PM2.5 and PM10 at the construction site are much higher compared to the stadium due to the construction activities nearby. Keywords: air quality, unmanned aerial vehicle, mapping

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“…The OpenSense Project [8] aims to provide the most convenient and efficient mechanism for monitoring air pollution. This is an important issue because it directly affects human health, especially in big cities where air pollution is getting worse.…”

Section: Open Datamentioning

confidence: 99%

Open Data for Environment Sensing: Crowdsourcing Geolocation Data

Trieu¹,

Williams²,

Dorville³

et al. 2020

EAI Endorsed Transactions on Context-aware Systems and Applicat

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There are numerous situations where the digital representation of the environment appears critical for understanding and decision-making: threats on soils, water, seashores, risk of fires, pollutions are evident applications. If spatial cellular decomposition is evidence in the more common applications, there remains a large field for environment and activities modelling. The integration and composition of several information sources is perhaps the main difficulty with the need to deal with data interpretation and semantics inside concurrent simulators. Besides, the data on population, people's behaviours, people's perceptions are essential in environmental assessments, where the technical aspect is not counted as much as the common acceptance of impact technology. We provide a model for building environmental services with open data systems. A case study is given for getting information from the public about their relationship with freshwater and its scarcity in Jamaica.

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OpenSense

Cited by 97 publications

References 12 publications

Crowdsourcing for climate and atmospheric sciences: current status and future potential

Crowdsourcing for climate and atmospheric sciences: current status and future potential

Air Quality Study at Different Elevation Levels Using Drone Payload Air Quality Measurement Device (D-PAQ)

Open Data for Environment Sensing: Crowdsourcing Geolocation Data

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