Digital Earth in Europe

Manual of Digital Earth ◽

10.1007/978-981-32-9915-3_20 ◽

2019 ◽

pp. 647-681 ◽

Cited By ~ 1

Author(s):

Mattia Marconcini ◽

Thomas Esch ◽

Felix Bachofer ◽

Annekatrin Metz-Marconcini

Keyword(s):

Climate Change ◽

Big Data ◽

Global Climate Change ◽

Spatial Data ◽

Spatial Information ◽

Global Climate ◽

Global Level ◽

Data Infrastructure ◽

Digital Earth ◽

Original Concept

Abstract In recent years, with the advancements in technology and research as well as changes in society, Digital Earth transformed. It evolved from its original concept of a 3D multilayer representation of our planet into a more practical system design to fulfil the demand for information sharing, which now embraces fields such as global climate change, food security and natural disaster prevention. In this novel scenario, Europe has become one of the major players at the global level; accordingly, the goal of this chapter is to provide a general overview of the major European contributions to the overall objectives of Digital Earth. These include the establishment of a European spatial data infrastructure through the Infrastructure for Spatial Information in Europe (INSPIRE) directive, the initiation of the Galileo and Copernicus programs that provide a wealth of big data from space, the launch of novel cloud-based platforms for data processing and integration and the emergence of citizen science. An outlook on major upcoming initiatives is also provided.

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Global Climate Change Studying Based on Big Data Analysis of Antarctica

Proceedings of the Fourth International Forum on Decision Sciences - Uncertainty and Operations Research ◽

10.1007/978-981-10-2920-2_4 ◽

2017 ◽

pp. 39-45

Author(s):

Yuxin Zhu

Keyword(s):

Climate Change ◽

Big Data ◽

Data Analysis ◽

Global Climate Change ◽

Global Climate ◽

Big Data Analysis

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Development of elements of a virtual research environment for the analysis, assessment and prediction of the consequences of global climate change

Вычислительные технологии ◽

10.25743/ict.2018.23.16489 ◽

2018 ◽

Author(s):

Е.П. Гордов ◽

И.Г. Окладников ◽

А.Г. Титов ◽

А.З. Фазлиев

Keyword(s):

Climate Change ◽

Statistical Analysis ◽

Global Climate Change ◽

Spatial Data ◽

Global Climate ◽

Decision Makers ◽

Data Sets ◽

Research Environment ◽

Virtual Research Environment ◽

Change Impact

Представлены описание и первые результаты разработки виртуальной вычислительно-информационной среды для анализа, оценки и прогноза последствий глобальных климатических изменений окружающей среды и климата в выбранном регионе. Созданная среда основана на информационных ресурсах трехслойной архитектуры. Intermediate results of the project aimed at improving methods of the detailed analysis, assessment and prediction of global climate change impact on the regional environment and climate are presented. New reliable interactive tools for in-depth statistical analysis and studying climate change impact obtained in this project will provide specialists, professionals, decision-makers and stakeholders with detailed climatic information. The project addresses the development of a topical virtual research environment (VRE) for the comprehensive study of ongoing and possible future climate change. It analyses the relevant subsequent effects. Such VRE will provide full topical informational required for studying regional economic, political and social consequences of the global climate change. The ultimate goal of this work is a design of hardware and software prototype supporting the topical virtual research environment for climate and environmental monitoring and analysis of the impact of climate change on socioeconomic processes on both local and regional scales. This VRE will integrate both already known and new archives of climate data sets with software realizations of traditional and advanced methods for statistical analysis of big spatial data sets. VRE prototype will provide scientists, decision-makers and stakeholders the access to processing resources and services for interactive analysis of geographically distributed spatial data through a web browser. It will present the results of the analysis using geoinformation technologies and ensure the systematization of spatial data and associated climate information. Also, the work describes an ontological approach to this systematization, which makes it possible to compare the semantics of meteorological and climatic parameters used in different collections and applied problems.

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