Development of a Mobile Arctic Sensor Node for Earth-Science Data Collection Applications

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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Value Range Queries on Earth Science Data via Histogram Clustering

Temporal, Spatial, and Spatio-Temporal Data Mining - Lecture Notes in Computer Science ◽

10.1007/3-540-45244-3_6 ◽

2001 ◽

pp. 62-76 ◽

Cited By ~ 5

Author(s):

Ruixin Yang ◽

Kwang-Su Yang ◽

Menas Kafatos ◽

X. Sean Wang

Keyword(s):

Earth Science ◽

Range Queries ◽

Science Data ◽

Value Range ◽

Earth Science Data

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

Applied Sciences ◽

10.3390/app10030856 ◽

2020 ◽

Vol 10 (3) ◽

pp. 856 ◽

Cited By ~ 2

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.

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