Empowering Climate Resilience: Leveraging Cloud Computing and Big Data for Community Climate Change Impact Service (C3IS)

Levin E. Beisekenov N. Wilson M. Sadenova M. Nabaweesi R. Nguyen L.
November 2023 Multidisciplinary Digital Publishing Institute (MDPI)

Remote Sensing
2023 #15 Issue 21

The challenges associated with climate change are increasing, so there is an urgent need for modern tools to effectively assess, predict and minimise climate risks. This research paper presents the results of the development of the innovative Community Climate Change Impacts Service (C3IS) system, which represents a paradigm shift in climate risk analysis. C3IS is a module that includes a pioneering set of tools with an interactive application programming interface (API) fully integrated with the Google Earth Engine (GEE) platform. The C3IS module enables lightning-fast collection and visualisation (in real time) of critical climate risk data through flexible integration with GEE. The advantages of this integration are the ability to use the GEE platform to access an extensive petabyte-scale catalogue of geospatial data and an ever-expanding database of satellite imagery. The defining feature of the developed module is accessibility and usability due to the exclusion of operations such as the time-consuming preliminary processing of “big data”; complex modelling; and large-scale data storage. The study shows the promising application of the C3IS module for the operational decision making and development of sound strategies for effective climate change mitigation.

climate change , climate hazards , climate risk analysis , geospatial data , Google Earth Engine , satellite imagery

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School of Applied Computational Sciences, Meharry Medical College, Nashville, 37208, TN, United States
Priority Department Centre «Veritas» D. Serikbayev, East Kazakhstan Technical University, Ust-Kamenogorsk, 070000, Kazakhstan
GIS Center, Austin Peay State University, Clarksville, 37044, TN, United States
Department of Public Health, School of Graduate Studies, Meharry Medical College, Nashville, 37208, TN, United States

School of Applied Computational Sciences
Priority Department Centre «Veritas» D. Serikbayev
GIS Center
Department of Public Health

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