Near-real-time environmental monitoring and large-volume data collection over slow communication links

Krassovski, Misha; Lyon, Glen; Riggs, Jeffery S.; Hanson, Paul J.

doi:10.5194/gi-7-289-2018

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…The CR1000X datalogger on the DCS system was programmed using the LoggerNet 4.7 software provided by Campbell Scientific, which provided basic quality control functionality for data streaming [9]. The LoggerNet 4.7 application used the CRBasic Editor to make programs in the BASIC programming language.…”

Section: Software Developmentmentioning

confidence: 99%

Developing an IoT-Based Digital Climate Station at Dramaga Climate Observational Station

Aditama,

Wijaya,

Siagian

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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A climatological station has several obligations to conduct climatological observations over a long-term time range, with the observed parameters consisting of air temperature, relative humidity, solar radiation, air pressure, wind, rainfall, and soil temperature. At the moment, the BMKG (Indonesia Meteorological Administration) Climate Station manages to do the task conventionally with the observer on duty. By utilizing state-of-the-art technology, an internet-based automatic climate monitoring system was designed to ease the data users’ ability to conduct real-time climate monitoring anywhere connected to the Internet. Dramaga Climatological Station is one of BMKG's observational stations to be used as a sample for digital instrument monitoring. The Digital Climatological Station (DCS) was a system capable of measuring elements of climate automatically that was designed using the Campbell CR1000X datalogger for data acquisition, multiple meteorological sensors, and a solar-based power system. The sensors in this system were a combination of sensors with voltage output and serial (SDI-12) output, so that all the sensors could match the number of logger ports. The overall industrial-grade sensors had a maximum error of 2.38%. Acquired data from the logger was sent via the Amazon AWS IoT Core MQTT Broker using the MQTT protocol. Subscribing was carried out on the server by Node-Red, stored in a MySQL database, and displayed using Grafana on a desktop or mobile phone. The system managed to transmit the data with more than 97% completion out of 1440 daily records. The mentioned instrument is expected to be a pioneer in observation automation in order to assist the observer while improving accuracy.

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Section: Software Developmentmentioning

confidence: 99%

Developing an IoT-Based Digital Climate Station at Dramaga Climate Observational Station

Aditama,

Wijaya,

Siagian

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…The growing availability of field‐deployable sensors enables real‐time data collection of biogeochemical processes and drivers that capture rare phenomena and short‐term processes that are critical to ecological monitoring, experimental studies, and predictive models. Openly real‐time data are increasingly available in networks like Next Generation Water Observing System (NGWOS), and ecosystem‐scale experiments such as Spruce and Peatland Responses Under Changing Environments (Krassovski et al., 2018 ) and Biosphere 2 Landscape Evolution Observatory (Volkmann et al., 2018 ). Additionally, there are coordinated projects to collect field and sensor data at a network of field sites (e.g., Drought‐Net, NutNet; Chabbi & Loescher, 2017 ) or under the same research infrastructure (e.g., AnaEE; Clobert et al., 2018 ).…”

Section: Field Experimental Remote Sensing and Real‐time Data For Bio...mentioning

confidence: 99%

Biogeosciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science

Dwivedi

Santos

Barnard

et al. 2022

Earth and Space Science

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This article is composed of three independent commentaries about the state of Integrated, Coordinated, Open, Networked (ICON) principles in the American Geophysical Union Biogeosciences section, and discussion on the opportunities and challenges of adopting them. Each commentary focuses on a different topic: (a) Global collaboration, technology transfer, and application (Section 2), (b) Community engagement, community science, education, and stakeholder involvement (Section 3), and (c) Field, experimental, remote sensing, and real‐time data research and application (Section 4). We discuss needs and strategies for implementing ICON and outline short‐ and long‐term goals. The inclusion of global data and international community engagement are key to tackling grand challenges in biogeosciences. Although recent technological advances and growing open‐access information across the world have enabled global collaborations to some extent, several barriers, ranging from technical to organizational to cultural, have remained in advancing interoperability and tangible scientific progress in biogeosciences. Overcoming these hurdles is necessary to address pressing large‐scale research questions and applications in the biogeosciences, where ICON principles are essential. Here, we list several opportunities for ICON, including coordinated experimentation and field observations across global sites, that are ripe for implementation in biogeosciences as a means to scientific advancements and social progress.

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“…The growing availability of field-deployable sensors enables real-time data collection of biogeochemical processes and drivers that capture rare phenomena and short-term processes that are critical to ecological monitoring, experimental studies, and predictive models. Openly real-time data are increasingly available in networks like Next Generation Water Observing System (NGWOS), and ecosystem-scale experiments such as Spruce and Peatland Responses Under Changing Environments (Krassovski et al, 2018) and Biosphere 2 Landscape Evolution Observatory (Volkmann et al, 2018). Additionally, there are coordinated projects to collect field and sensor data at a network of field sites (e.g., Drought-Net, NutNet; Chabbi & Loescher, 2017)…”

Section: Current State Of Iconmentioning

confidence: 99%

Biogeosciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science

Dwivedi¹,

Santos²,

Barnard³

et al. 2021

Preprint

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Coordinated, Open, Networked (ICON) principles in the American Geophysical Union Biogeosciences section, and discussion on the opportunities and challenges of adopting them. Each commentary focuses on a different topic: (a) Global collaboration, technology transfer, and application (Section 2), (b) Community engagement, community science, education, and stakeholder involvement (Section 3), and (c) Field, experimental, remote sensing, and real-time data research and application (Section 4). We discuss needs and strategies for implementing ICON and outline short-and long-term goals. The inclusion of global data and international community engagement are key to tackling grand challenges in biogeosciences. Although recent technological advances and growing open-access information across the world have enabled global collaborations to some extent, several barriers, ranging from technical to organizational to cultural, have remained in advancing interoperability and tangible scientific progress in biogeosciences. Overcoming these hurdles is necessary to address pressing large-scale research questions and applications in the biogeosciences, where ICON principles are essential. Here, we list several opportunities for ICON, including coordinated experimentation and field observations across global sites, that are ripe for implementation in biogeosciences as a means to scientific advancements and social progress. Plain Language SummaryBiogeosciences is an interdisciplinary field that requires multiscale global data and concerted international community efforts to tackle grand challenges. However, several technical, institutional, and cultural hurdles have remained as major roadblocks toward scientific progress, hindering seamless global data acquisition and international community engagement. To bring a paradigm shift in biogeosciences, there is a need to implement integrated, coordinated, open, and networked efforts, collectively known as the Integrated, Coordinated, Open, Networked (ICON) principles. In this article, we present three related commentaries about the state of ICON, discuss needs to reduce geographical bias in data for enhancing scientific progress, and identify action items. Action items are primarily people-centric DWIVEDI ET AL.

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Near-real-time environmental monitoring and large-volume data collection over slow communication links

Cited by 5 publications

References 2 publications

Developing an IoT-Based Digital Climate Station at Dramaga Climate Observational Station

Developing an IoT-Based Digital Climate Station at Dramaga Climate Observational Station

Biogeosciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science

Biogeosciences Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science

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