Correlation Analysis Method for Ocean Monitoring Big Data in a Cloud Environment

Monitoring of land use in tsunami prone coastal areas has an important role in disaster risk reduction efforts. This study was conducted to map temporal land use patterns in the post-2004 tsunami Aceh coastal area. The research method was carried out qualitatively, the data were analyzed spatially, by interpreting multitemporal Landsat TM 5 and Landsat 8 imagery to determine patterns and changes in land use. Interpretation and analysis of land use are carried out with supervised classification through the maximum likelihood approach. The results showed that land use patterns in tsunami prone areas, namely around the coast, were still widely used as residential areas. This study shows that over the past 15 years there has been an increase in the number of settlements covering an area of 7418.9796 hectares, and there has been a decrease in open land covering an area of 6743.73 hectares. While land use in the form of high density vegetation experienced an increase of 672.76 Ha, likewise low density vegetation increased by 459.11 Ha after the tsunami. The growth of settlements in a fairly dense tsunami-prone area can have implications for the high impact / risk if a similar disaster occurs again. Efforts to regulate, monitor, control and evaluate land use appropriately in tsunami prone areas are necessary so that the level of disaster risk can be reduced.

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Internet of Things in Marine Environment Monitoring: A Review

Guobao

Shi

Sun

et al. 2019

Sensors

167

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Marine environment monitoring has attracted more and more attention due to the growing concern about climate change. During the past couple of decades, advanced information and communication technologies have been applied to the development of various marine environment monitoring systems. Among others, the Internet of Things (IoT) has been playing an important role in this area. This paper presents a review of the application of the Internet of Things in the field of marine environment monitoring. New technologies including advanced Big Data analytics and their applications in this area are briefly reviewed. It also discusses key research challenges and opportunities in this area, including the potential application of IoT and Big Data in marine environment protection.

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Correlation Analysis Method for Ocean Monitoring Big Data in a Cloud Environment

Cited by 3 publications

References 16 publications

A review on the internet of thing (IoT) technologies in controlling ocean environment

A review on the internet of thing (IoT) technologies in controlling ocean environment

Post Tsunami Land Use Monitoring to Support Sustainable Coastal Management

Internet of Things in Marine Environment Monitoring: A Review

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