Next-Generation Digital Ecosystem for Climate Data Mining and Knowledge Discovery: A Review of Digital Data...

Area of Science:

• Environmental Science
• Data Science
• Climate Science

Background:

• Global climate change mitigation efforts lack sufficient data for effective progress evaluation.
• Traditional data collection methods are often costly and time-consuming.
• Emerging digital technologies offer potential solutions for enhanced monitoring.

Purpose of the Study:

• To review the potential of Earth Observation (EO) and Internet of Things (IoT) for climate change mitigation monitoring.
• To identify how these technologies can address current data gaps.
• To explore the integration of digital data collection with distributed ledger technologies.

Main Methods:

• Review of existing literature on Earth Observation (EO) and Internet of Things (IoT) applications in environmental monitoring.
• Analysis of the capabilities of EO (satellites, UAVs) and IoT (sensors, smart meters) for data generation.
• Discussion of distributed ledger technologies for data governance in climate monitoring systems.

Main Results:

• EO and IoT technologies present underexplored potential for large-scale data generation.
• These digital tools can overcome limitations of traditional data collection methods.
• Integration with distributed ledger technologies can enhance transparency, privacy, and data governance.

Conclusions:

• Earth Observation and Internet of Things technologies are crucial for advancing climate change mitigation monitoring.
• Leveraging these digital tools can improve the accuracy and efficiency of data collection.
• Distributed ledger technologies offer a framework for secure and transparent data management in climate action.