Open AccessEarthDataMiner: A Cloud-Based Big Earth Data Intelligence Analysis Platform
Author(s) -
Jie Liu,
Wei Wang,
Hua Zhong
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/509/1/012032
Subject(s) - big data , computer science , data science , cloud computing , field (mathematics) , domain (mathematical analysis) , task (project management) , e science , knowledge extraction , software , data processing , intelligence analysis , data mining , systems engineering , database , engineering , mathematical analysis , geometry , mathematics , computer security , pure mathematics , programming language , grid , operating system
Big Earth data mining analysis involves complex data processing, pattern extraction and knowledge discovery processes, and requires easy to use integrated software tools to deal with large-scale data. With the support of Big Earth Data Science Engineering Project (CASEarth) of the Chinese Academy of Sciences Strategic Priority Research Program, our team are ongoing developing EarthDataMiner, a cloud-based Big Earth data intelligence analysis platform for scientists in the field of Earth sciences, which brings together cross-domain common models, introduces advanced artificial intelligence algorithms, supports online satellite imagery visually interactive analysis,and achieves efficient task processing through a series of distributed execution systems.