Spatial and Temporal Validation of In-Situ and Satellite Weather Data for the South West Agricultural Region of Australia

Campbell, Tristan; Fearns, Peter

doi:10.1007/s13351-022-1105-7

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…The weather data is useful in many applications from different domains, like agriculture, entertainment, industries, military operations, transportation, emergency management, etc. [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

High-Resolution and Secure IoT-Based Weather Station Design

Ibraheem,

Abdulrazzaq,

Fathi

et al. 2024

IJSSE

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The pivotal role of weather information in domains such as workplace safety, economic activities, and natural disaster prevention is undeniable. This study introduces an advanced weather monitoring system designed to observe weather conditions at specific locations and make the data accessible globally. Utilizing Internet of Things (IoT) technology, this system connects a network of devices, including electronic gadgets and sensors, to the internet, thereby creating an interconnected web of information. The system focuses on monitoring environmental parameters such as temperature, relative humidity, pressure, and rainfall. It employs sensors to gather data, which is then transmitted to a web page and graphically represented as statistical information. The data, accessible from any location via the internet, enhances the resolution and accuracy of weather monitoring. The implementation of high-precision sensors in this system ensures the delivery of detailed and accurate meteorological data, facilitating a comprehensive understanding of local weather conditions. Additionally, the system's design allows for the easy deployment of multiple weather stations, broadening the scope of weather monitoring and providing valuable insights into microclimates and localized weather patterns. A significant feature of this system is the incorporation of a robust security framework, safeguarding the integrity and confidentiality of meteorological data. This aspect is crucial for ensuring the reliability of the data for various applications, including disaster preparedness and response. Timely evacuation warnings, efficient resource allocation, and accurate damage assessment are facilitated by the real-time weather monitoring provided by this system.

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Section: Introductionmentioning

confidence: 99%

High-Resolution and Secure IoT-Based Weather Station Design

Ibraheem,

Abdulrazzaq,

Fathi

et al. 2024

IJSSE

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Wildfire risk management across diverse bioregions in a changing climate

Campbell

Bradshaw

Dixon

et al. 2022

Geomatics, Natural Hazards and Risk

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Restoration and replication: a case study on the value of computational reproducibility assessment

Campbell

Dixon

Handcock

2023

Restoration Ecology

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Open science is vital to the interdisciplinary field of ecology due to its integrative nature and use of longitudinal datasets that build upon earlier data collections. To highlight the importance of open science in the rapidly growing discipline of restoration ecology, we conducted a “computational reproducibility” assessment of a publication on a mining restoration program spanning several decades and over 250 km2 in a global biodiversity hotspot. Open data and code provided alongside the original publication were assessed for consistency with the results and conclusions of the original publication, as were potential limitations in findings due to the methodology. The impacts of inconsistencies and limitations were qualitatively assessed against the key findings from the publication and data were reanalyzed where impacts were potentially significant. Of the six inconsistencies and limitations identified, two had a significant impact on 5 of the 11 key findings of the original publication and one new key finding was made. The impact of this is of high ecological significance as the findings related to key restoration parameters: species richness (similarity of species richness between forest and 25‐year‐old restoration), functional diversity (correlation of species richness and functional diversity), and the restoration trajectory (long‐term trends and restored areas' resilience to disturbance). These outcomes highlight the importance of open data and the value of detailed third‐party data reviews, particularly in restoration ecology which relies on research findings to inform decision‐making and policy and drive adaptive management.

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Spatial and Temporal Validation of In-Situ and Satellite Weather Data for the South West Agricultural Region of Australia

Cited by 3 publications

References 24 publications

High-Resolution and Secure IoT-Based Weather Station Design

High-Resolution and Secure IoT-Based Weather Station Design

Wildfire risk management across diverse bioregions in a changing climate

Restoration and replication: a case study on the value of computational reproducibility assessment

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