Big Earth Data,Volume 3, Issue 3 Available

Oct 22, 2019

Big Earth Data, Volume 3, Issue 3 is now available online. Please enjoy the latest articles and share the interesting knowledge with your research network.

In addition, six special issues listed below are now calling for research articles, review articles, data articles or technical notes. Please choose one that you are interested in and do not hesitate to contact me or the guest editors if you have any ideas to contribute.

The journal of Big Earth Data is an interdisciplinary open access journal established in December 2017. It is jointly published by the International Society for Digital Earth, Taylor & Francis Group and other partners.

We are now looking for scientists who are willing to contribute manuscripts or organize special issues. Publishing an article in Big Earth Data normally requires article publishing charges (APCs); however, earlier submissions could be considered for waiving APC.

Please take this advantage to contribute your papers to Big Earth Data and click here to submit to the journal. Should you have any questions, please contact the journal Editorial Office at or call 86-10-8217 8902 / 8217 8196. 

Featured Papers

Special Issue: Geospatial semantics, ontology and knowledge graphs for big Earth data


Geospatial semantics, ontology and knowledge graphs for big Earth data

Yunqiang Zhu

Review Article

A survey of remote sensing image classification based on CNNs

Jia Song, Shaohua Gao, Yunqiang Zhu & Chenyan Ma

Research Articles

A global land cover map produced through integrating multi-source datasets

Min Feng & Yan Bai 

A vocabulary recommendation method for spatiotemporal data discovery based on Bayesian network and ontologies

Kejin Cui, Yongyao Jiang, Yun Li & Dieter Pfoser 

Enhancing VGI application semantics by accounting for spatial bias

Guiming Zhang 

Geospatial data ontology: the semantic foundation of geospatial data integration and sharing

Kai Sun, Yunqiang Zhu, Peng Pan, Zhiwei Hou, Dongxu Wang, Weirong Li & Jia Song

Detecting geo-relation phrases from web texts for triplet extraction of geographic knowledge: a context-enhanced method

Peiyuan Qiu, Li Yu, Jialiang Gao & Feng Lu