About
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New Nature Publication
Check out my new publication in Nature Scientific Data on Location Obfuscation https://doi.org/10.1038/s41597-024-03354-5 |
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I am a geospatial data scientist and engineer who likes to derive actionable insights from big spatial data. In my approach, I combine a Discrete Global Grid System to organize, merge, analyze and visualize large spatial datasets at multiple scales and Artificial Neural Networks (ANN) to crunch through data to make predictions. A data platform such as a DGGS and machine learning algorithms like ANNs help to produce insights from big earth observation data, location-based services (LBS), internet of things (IoT), volunteered geographic information (VGI) from citizens, and other sensors.
I studied Geography and Geomatics at Ruhr-University Bochum in Germany and joined the UN Operational Satellite Applications Program (UNOSAT) of the United Nations Institute for Training and Research (UNITAR) in Geneva, Switzerland in 2009. I worked there for about 1.5 years before moving to the State Key Laboratory for Information Engineering in Surveying Mapping and Remote Sensing (LIESMARS) at Wuhan University, China. There I pursued my doctoral degree in engineering in photogrammetry and remote sensing and worked as a Postdoc until November 2019. In 2013/2014 I did a contract engagement at the Global Polio Eradication Initiative at the World Health Organization HQ in Geneva, which set the frame for my future research interests and endeavors.
The question that comes up when dealing with complex geographic problems, such as predicting epidemics, crime, or ghost towns is: How to integrate geographic data to take advantage of multiple sources to address complex geographic problems?
DGGS
My vision is to create an Intelligent Earth that knows what is where, what was there before, and what might be there. In a holistic approach, I combine multiple data sources in a Discrete Global Grid System (DGGS). This structures and harmonizes data from various sources such as satellite imagery, social media, census, or any data that has a spatial reference into hexagonal cells of almost equal size. As each phenomenon has various spatial effects at different resolutions, it is necessary to include multi-scale capabilities.
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Publications
Gino Caspari, João dos Santos Manuel, Ana Gago-Silva, Michael Jendryke. 2024. "Employing discrete global grid systems for reproducible data obfuscation." Nature Scientific Data 11, 509 (2024). https://doi.org/10.1038/s41597-024-03354-5.
Michael Jendryke and Stephen C. McClure. 2021. “Spatial Prediction of Sparse Events Using a Discrete Global Grid System; a Case Study of Hate Crimes in the USA.” International Journal of Digital Earth 0 (0): 1–17. https://doi.org/10.1080/17538947.2021.1886356.
Li, Xi, Xiya Li, Deren Li, Xiaojun He, and Michael Jendryke. 2019. “A Preliminary Investigation of Luojia-1 Night-Time Light Imagery.” Remote Sensing Letters 10 (6): 526–35. https://doi.org/10.1080/2150704X.2019.1577573.
Caspari, Gino, Simon Donato, and Michael Jendryke. 2019. “Remote Sensing and Citizen Science for Assessing Land Use Change in the Musandam (Oman).” Journal of Arid Environments. https://doi.org/10.1016/j.jaridenv.2019.104003.
Michael Jendryke and Stephen C. McClure. 2019. “Mapping crime – Hate crimes and hate groups in the USA: A spatial analysis with gridded data" Applied Geography 111 (3). http://dx.doi.org/10.1016/j.apgeog.2019.102072.
Liu, Shanshan, Xi Li, Noam Levin, and Michael Jendryke. 2019. “Tracing Cultural Festival Patterns Using Time-Series of VIIRS Monthly Products.” Remote Sensing Letters 10 (12): 1172–81. https://doi.org/10.1080/2150704X.2019.1666313.
Balz, Timo, Prosper Washaya, and Michael Jendryke. 2019. “Urban Change Monitoring Using Globally Available Sentinel-1 Imagery.” In BGDDS 2018 - 2018 International Workshop on Big Geospatial Data and Data Science. https://doi.org/10.1109/BGDDS.2018.8626814.
Zhu, Ruoxin, Diao Lin, Michael Jendryke, Chenyu Zuo, Linfang Ding, and Liqiu Meng. 2018. “Geo-Tagged Social Media Data-Based Analytical Approach for Perceiving Impacts of Social Events.” ISPRS International Journal of Geo-Information 8 (1): 15. https://doi.org/10.3390/ijgi8010015.
Li, Xi, Shanshan Liu, Michael Jendryke, Deren Li, and Chuanqing Wu. 2018. “Night-Time Light Dynamics during the Iraqi Civil War.” Remote Sensing 10 (6). https://doi.org/10.3390/rs10060858.
Caspari, Gino, and Michael Jendryke. 2017. “Archsphere – A Cluster Algorithm for Archaeological Applications.” Journal of Archaeological Science: Reports 14 (May): 181–88. https://doi.org/10.1016/j.jasrep.2017.05.052.
Michael Jendryke, Timo Balz, and Mingsheng Liao. 2017. “Big Location-Based Social Media Messages from China’s Sina Weibo Network: Collection, Storage, Visualization, and Potential Ways of Analysis.” Transactions in GIS 21 (4): 825–34. https://doi.org/10.1111/tgis.12266.
Michael Jendryke, Stephen C. McClure, Timo Balz, and Mingsheng Liao. 2017. “Monitoring the Built-up Environment of Shanghai on the Street-Block Level Using SAR and Volunteered Geographic Information.” International Journal of Digital Earth 10 (7): 675–86. https://doi.org/10.1080/17538947.2016.1216616.
Michael Jendryke, Timo Balz, Stephen C. McClure, and Mingsheng Liao. 2017. “Putting People in the Picture: Combining Big Location-Based Social Media Data and Remote Sensing Imagery for Enhanced Contextual Urban Information in Shanghai.” Computers, Environment and Urban Systems 62: 99–112. https://doi.org/10.1016/j.compenvurbsys.2016.10.004.
Michael Jendryke, Stephen C Mcclure, Timo Balz, and Mingsheng Liao. 2016. “Monitoring the Built-up Environment of Shanghai on the Street-Block Level Using SAR and Volunteered Geographic Information.” International Journal of Digital Earth 0 (0): 1–12. https://doi.org/10.1080/17538947.2016.1216616.
Wei, Lianhuan, Mingsheng Liao, Timo Balz, Kang Liu, and Michael Jendryke. 2013. “High-Resolution Tomosar & PS-LnSAR Analysis in Urban Areas.” In European Space Agency, (Special Publication) ESA SP. Vol. 704 SP.
Michael Jendryke, Timo Balz, Houjun Jiang, Mingsheng Liao, and Uwe Stilla. 2013. “Using Open-Source Components to Process Interferometric TerraSAR-X Spotlight Data.” International Journal of Antennas and Propagation 2013. https://doi.org/10.1155/2013/275635.
Balz, Timo, Lianhuan Wei, Michael Jendryke, Daniele Perissin, and Mingsheng Liao. 2012. “Tomosar and PS-InSAR Analysis of High-Rise Buildings in Berlin.” In Proc. IGARSS 2012, 447–50. IEEE. https://doi.org/10.1109/IGARSS.2012.6351542.
Michael Jendryke, Timo Balz, Mingsheng Liao, and Uwe Stilla. 2003. “Measuring Shanghai ’ s Urban Growth since 2003 Using ENVISAT ASAR.” In International Symposium on Remote Sensing of Environment ISRSE35, 1–7.
CV
Please visit my LinkedIn.com profile or download my CV here.