Chen Zhang, Ph.D.
Research Assistant Professor at George Mason University
Hi, I am Chen Zhang, a research assistant professor at the Center for Spatial Information Science and Systems, George Mason University. My research interests include:
Specifically, I am an active advocate of applying state-of-the-art methods, technologies, and tools in multidisciplinary fields to discover, understand, and share agro-geoinformation. I am also a full-stack software engineer in charge of developing, maintaining, and enhancing multiple operational geospatial data service systems including Crop-CASMA, CropScape, VegScape, and GEOSS Information Exchange DataHub.
News:
George Mason University
Fairfax, VA, USA
2021
China University of Mining and Technology, Beijing
Beijing, China
2014
China University of Mining and Technology, Beijing
Beijing, China
2011
* Here is a list of my ongoing researches. Please see R&D Page for all research and development projects.
Food and Agriculture Cyberinformatics Tools (FACT): Machine-learning-based In-season Crop Mapping and Associated Cloud-based Bigdata Cyberinfrastructure to Support USDA NASS Decision Making
Research project funded by USDA NIFA (Grant #2021-67021-34151, PI: Dr. Liping Di)
Lead Software Engineer, Research Scientist
Feb. 2021 - present
NASA Interdisciplinary Research in Earth Science (IDS) Project: Improved Understanding and Prediction of Extreme Precipitation in Multiple Urban Systems
Funded by NASA (PI: Dr. Fei Chen, Institutional PI: Dr. Liping Di)
Software Engineer
Jan. 2021 - present
Crop-CASMA: A Web-based Geospatial Application for Crop Condition and Soil Moisture Analytics
Operational system in collaboration with USDA NASS and NASA
Lead Software Engineer, Research Scientist
Jun. 2019 - present
USDA NASS Online Geospatial Applications CropScape and VegScape Systems Maintaining, Hosting and Enhancement of NASS Operation
Operational system funded by U.S. Department of Agriculture
Senior Software Engineer, Research Scientist
Sep. 2018 - present
WaterSmart: A Cyberinfrastructure-Based Integrated Agro-Geoinformatic Decision-Support Web Service System to Facilitate Informed Irrigation Decision-Making
Research project funded by National Science Foundation (Grant #CNS-1739705, PI: Dr. Liping Di)
Research Scientist
Apr. 2018 - present
GEOSS Components and Services Registry
Operational system in collaboration with Federal Geographic Data Committee and U.S. Geological Survey
Senior Software Engineer
Apr. 2018 - present
* Here is a list of my latest publications as the first author. Please see Publication Page for abstract and full-text access.
* Full publication list and citations can be found on my Google Scholar Profile.
Zhang, C., Yang, Z., Di, L., Yu, Eugene G., Zhang, B., Han, W, Lin, L., and Guo, L., 2022. Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE. Scientific Data, 9, 477. doi: 10.1038/s41597-022-01565-2.
Zhang, C., Di, L., Lin, L., Li, H., Guo, L., Yang, Z., Yu, E.G., Di, Y. and Yang, A., 2022. Towards automation of in-season crop type mapping using spatiotemporal crop information and remote sensing data. Agricultural Systems, 201, 103462. doi: 10.1016/j.agsy.2022.103462.
Zhang, C., Yang, Z., Zhao, H., Sun, Z., Di, L., Bindlish, R., Liu, P.W., Colliander, A., Mueller, R., Crow, W. and Reichle, R.H., 2022. Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over US Cropland. International Journal of Applied Earth Observation and Geoinformation, 112, 102902. doi: 10.1016/j.jag.2022.102902.
Zhang, C., Di, L., Hao, P., Yang, Z., Lin, L., Zhao, H. and Guo, L., 2021. Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer. International Journal of Applied Earth Observation and Geoinformation, 102, 102374. doi: 10.1016/j.jag.2021.102374.
Zhang, C., Di, L., Yang, Z., Lin, L., Zhao, H. and Yu, E.G., 2021. An Overview of Agriculture Cyberinformatics Tools to Support USDA NASS Decision Making. The 9th International Conference on Agro-Geoinformatics. doi: 10.1109/Agro-Geoinformatics50104.2021.9530327.
Zhang, C., Yang, Z., Di, L., Lin, L., Hao, P. and Guo, L, 2021. Applying Machine Learning to Cropland Data Layer for Agro-Geoinformation Discovery. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). doi: 10.1109/IGARSS47720.2021.9554628.
Zhang, C. and Lin, L., 2021. Image Processing Methods in Agricultural Observation Systems. In: Di L., Üstündağ B. (eds) Agro-geoinformatics: Theory and Practice, Springer Remote Sensing/Photogrammetry. Springer, Cham. doi: 10.1007/978-3-030-66387-2_6.
Zhang, C., Di, L., Yang, Z., Lin, L. and Hao, P., 2020. AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine. Environmental Modelling & Software, 129, 104694. doi: 10.1016/j.envsoft.2020.104694.
Research Assistant Professor, Center for Spatial Information Science and Systems
2022 - present
Graduate Research Assistant, Center for Spatial Information Science and Systems
2015 - 2021
Research Assistant, Institute of Remote Sensing and Geographical Information Systems
2012 - 2014
Research Assistant, Department of Computer Science and Technology
2011 - 2014
Member, IEEE (Institute of Electrical and Electronics Engineers)
2022 - present
Member, IEEE GRSS (Geoscience and Remote Sensing Society)
2020 - present
Student Member, AGU (American Geophysical Union)
2020 - 2021
Student Member, AAG (American Association of Geographers)
2018 - 2021
Student Member, IEEE (Institute of Electrical and Electronics Engineers)
2017 - 2021
Student Member, ESIP (Earth Science Information Partners)
2016 - 2021
Member, OGC (Open Geospatial Consortium)
2016 - present
* Please see all verified reviews on Publon.
Agriculture, MDPI
2022
Agronomy, MDPI
2022
Alexandria Engineering Journal, Elsevier
2021
Applied Sciences, MDPI
2020 - 2021
Atmospheric Science Letters, Wiley
2022
Climate, MDPI
2020
Computers and Electronics in Agriculture, Elsevier
2020 - 2021
Ecological Informatics, Elsevier
2022
Environmental Challenges, Elsevier
2021
European Journal of Remote Sensing, Taylor & Francis
2021
Expert Systems with Applications, Elsevier
2021
Forests, MDPI
2020
Geocarto International, Taylor & Francis
2021
International Conference on Agro-Geoinformatics
2016 - 2022
International Journal of Applied Earth Observation and Geoinformation, Elsevier
2022
International Journal of Digital Earth, Taylor & Francis
2021 - 2022
International Journal of Remote Sensing, Taylor & Francis
2020
ISPRS International Journal of Geo-Information, MDPI
2021
Journal of King Saud University - Computer and Information Sciences, Elsevier
2019 - 2020
Journal of Computational Science, Elsevier
2021
PeerJ, PeerJ
2021
Remote Sensing, MDPI
2020 - 2022
Remote Sensing Letters, Taylor & Francis
2021
Remote Sensing of Environment, Elsevier
2021
Science of the Total Environment, Elsevier
2020
Sustainability, MDPI
2020 - 2022
Technologies, MDPI
2021