Associate Research Professors
SONG Jia
Source： | Date：2016-10-10 | 【Print】 【Close】
Jia Song Ph.D.
Associate Professor
State Key Laboratory of Resources and Environmental Information System
Institute of Geographic Sciences and Natural Resources Research of Chinese Academy of Sciences, China
Mailing Address: 11A Datun Road, Chaoyang District, Beijing 100101, P.R.China
Phone: +86 (10) 64889906 (office)
E-mail: songj@lreis.ac.cn
Education:
Sep 2005 - June 2008, Ph.D. of Cartography and Geographic Information System, University of Chinese Academy of Sciences
Sep 2003 -June 2005, Master of Communication and Information System, China University of Geosciences, Wuhan, China
Sep 1999 - June 2003, Bachelor of Electronic Information Engineering, China University of Geosciences, Wuhan, China
Professional Employment:
Dec 2018 to date, Associate Professor, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China.
July 2008 – Nov 2018, Assistant Professor, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China.
May 2015 – May 2016, Research Assistant Professor, Center for Spatial Information Science and System, George Mason University, USA.
April 2019 – Sep 2020, Visiting Scholar, Department of Geography, University of Wisconsin-Madison.
Research Grants
PI Partitioned Progressive Transmission based on Multi-level Vector Tiles, Jan 2018 ~ Dec 2021. Funded by National Natural Science Foundation of China.
PI Progressive Transmission of Vector Data for Web Map Visualization, Jan 2013 ~ Dec 2015. Funded by National Natural Science Foundation of China.
PI Data Sharing for National Special Program on Basic Works of China, Jan 2013 ~ Dec 2018. Funded by National Special Program on Basic Works for Science and Technology of China.
PI, Creative Platform Based on Big Data in Resources Field, Jan 2018 ~ Dec 2020. Funded by the 13th Five-year Informatization Plan of Chinese Academy of Sciences.
PI. Software Development for National Data Sharing Infrastructure of Earth System Science of China, Feb 2013 ~ June 2014. Funded by Ministry of Science and Techology of China.
PI. Scientific Data Grid for Human-land System, Oct 2009~ Dec 2010.Funded by Special Funds for e-Science of Chinese Academy of Sciences.
PI. Research on Internet of Things for Ecological Compensation in Fenhe River Basin of China, Aug 2013 ~ Jan 2014. Funded by Environment planning Academy of Shanxi Provice of China.
Patents
Song J., Miao R., Zhu Y., et al. (2014). An approach and system for progressive vetor transmission oriented to web visualization, China Patent Office, No: ZL2014102085358
Song J., Zhu Y., Feng M., et al. (2011). A retrieve approach and system for heterogeneous geoscience data, China Patent Office, No:ZL200910089737.4
Publications
Song J.*, Miao R. (2016). A Novel Evaluation Approach for Line Simplification Algorithms towards Vector Map Visualization. ISPRS International Journal of Geo-Information, 5(12).
Song J., Di L. (2017). Near-Real-Time OGC Catalogue Service for Geoscience Big Data. ISPRS International Journal of Geo-Information, 6(11).
Song J.*, Gao S., Zhu Y. & Ma C. (2019) A survey of remote sensing image classification based on CNNs, Big Earth Data, 3:3, 232-254
Miao R., Song J.*. (2017), Feng M. A feature selection approach towards progressive vector transmission over the Internet. Computers & Geosciences, 106.
Sun K., Zhu Y., Song J*. (2019). Progress and Challenges on Entity Alignment of Geographic Knowledge Bases. ISPRS International Journal of Geo-Information. 8(77).
Jing W, Song J.*. (2018), Zhao X. A Comparison of ECV and SMOS Soil Moisture Products Based on OzNet Monitoring Network. Remote Sensing, , 10(5).
Zhu Y., Zhu A., Song J.*, et al. (2017). Multidimensional and quantitative interlinking approach for Linked Geospatial Data. International Journal of Digital Earth, 10(9).
Jing W., Song J.*, Zhao X. (2018). Validation of ECMWF Multi-Layer Reanalysis Soil Moisture Based on the OzNet Hydrology Network. Water, 10(9).
Jing W., Song J.*, Zhao X.(2018). Evaluation of Multiple Satellite-Based Soil Moisture Products over Continental US Based on In Situ Measurements. Water Resources Management, 32(9).
Zhu Y., Zhu A., Feng M., Song J.*, et al. (2017). A similarity-based automatic data recommendation approach for geographic models, International Journal of Geographical Information Science, 31(7).
