scholarly journals Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens

2020 ◽  
Vol 10 (3) ◽  
pp. 856 ◽  
Author(s):  
José R. R. Viqueira ◽  
Sebastián Villarroya ◽  
David Mera ◽  
José A. Taboada
Keyword(s):  
Scientific Community ◽  
Earth Science ◽  
Scientific Information ◽  
Open Data ◽  
Data Access ◽  
Data Representation ◽  
Environmental Data ◽  
Science Data ◽  
Data Infrastructures ◽  
Earth Science Data

The monitoring and forecasting of environmental conditions is a task to which much effort and resources are devoted by the scientific community and relevant authorities. Representative examples arise in meteorology, oceanography, and environmental engineering. As a consequence, high volumes of data are generated, which include data generated by earth observation systems and different kinds of models. Specific data models, formats, vocabularies and data access infrastructures have been developed and are currently being used by the scientific community. Due to this, discovering, accessing and analyzing environmental datasets requires very specific skills, which is an important barrier for their reuse in many other application domains. This paper reviews earth science data representation and access standards and technologies, and identifies the main challenges to overcome in order to enable their integration in semantic open data infrastructures. This would allow non-scientific information technology practitioners to devise new end-user solutions for citizen problems in new application domains.

scholarly journals INTELLECTUAL ANALYTICAL GEOINFORMATION SYSTEM “EARTH SCIENCE DATA FOR THE TERRITORY OF RUSSIA”

2015 ◽  
Vol 1 ◽  
pp. 215 ◽  
Author(s):  
Аlexandr Berezko ◽  
Anatoly Soloviev ◽  
Roman Krasnoperov ◽  
Alena Rybkina
Keyword(s):  
Earth Sciences ◽  
Volcanic Activity ◽  
Scientific Community ◽  
Earth Science ◽  
General Analysis ◽  
Fuzzy Mathematics ◽  
Geoinformation System ◽  
Science Data ◽  
The Earth ◽  
Earth Science Data

The present study is aimed at the integration of data on geography, geology, geophysics, geoecology and other Earth sciences in the comprehensive problem-oriented geoinformation system (GIS) including the intellectual superstructure for geoinformation analysis. At the present time GIS provide only limited opportunities for general analysis of geodata handled. At the same time, among the scientific community, dealing with the Earth sciences data, the requirement of more profound and comprehensive data analyzing and processing is constantly growing. The theory and methods of artificial intellect (AI) must become not only an integral, but the main core of a modern GIS. The methods of fuzzy mathematics correlate with a fuzzy character of geophysical data. The AI methods, developed by the authors, and presently applied to volcanic activity monitoring, search and interpretation of anomalies in geophysical fields, solving environmental, geodynamic and other problems, turned out to be a success.

Experimental studies of data transport and data access of earth-science data over networks with high bandwidth delay products

2004 ◽  
Vol 46 (3) ◽  
pp. 411-421 ◽  
Author(s):  
Robert L. Grossman ◽  
Yunhong Gu ◽  
David Hanley ◽  
Xinwei Hong ◽  
Babu Krishnaswamy
Keyword(s):  
Earth Science ◽  
Experimental Studies ◽  
Data Access ◽  
Data Transport ◽  
Science Data ◽  
High Bandwidth ◽  
Earth Science Data

scholarly journals Toward a Collective Agenda on AI for Earth Science Data Analysis

2021 ◽  
Vol 9 (2) ◽  
pp. 88-104
Author(s):  
Devis Tuia ◽  
Ribana Roscher ◽  
Jan Dirk Wegner ◽  
Nathan Jacobs ◽  
Xiaoxiang Zhu ◽  
...  
Keyword(s):  
Data Analysis ◽  
Earth Science ◽  
Science Data ◽  
Earth Science Data

scholarly journals Giovanni: The Bridge Between Data and Science

Eos ◽  
2017 ◽  
Author(s):  
Zhong Liu ◽  
James Acker
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Earth Science ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Science Data ◽  
Web Based ◽  
Sensing Data ◽  
Daunting Task ◽  
Earth Science Data

Using satellite remote sensing data sets can be a daunting task. Giovanni, a Web-based tool, facilitates access, visualization, and exploration for many of NASA’s Earth science data sets.

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