Publications
PUBLICATIONS: | YEAR | |
1. | Wei, Y., Yang, R., & Sun, D. (2023). Investigating Tropical Cyclone Rapid Intensification with an Advanced Artificial Intelligence System and Gridded Reanalysis Data. Atmosphere, 14 (2), 195. | 2023 |
2. | Sha, D. (2023). Geophysical Feature Extraction and Spatiotemporal Analysis of Polar Sea Ice Using High Spatial Resolution Imagery. Mars.gmu.edu. http://hdl.handle.net/1920/13024 | 2023 |
1. | Lou, A., Smith, S., Yang, C., Lan, H., & Li, Y. (2021). Al Based PM 2.5 Retrieval and Spatiotemporal Downscaling Using Earth Observation Data. Journal of Student-Scientists’ Research, 3. | 2022 |
2. | Natarajan, A. V., Wang, K., Howell, K., Sha, D., & Yang, C. (2021). Developing Cloud-based Image Classification Management and Processing Service for High Spatial Resolution Sea Ice Imagery. Journal of Student-Scientists’ Research, 3. | 2022 |
3. | Kang, G., Lan, H., & Yang, C. (2021). Innovating a Computer Infrastructure for Spatiotemporal Studies. Journal of Student-Scientists’ Research, 3. | 2022 |
4. | Kim, J., S. Rapuri, E. Chuluunbaatar, E. Sumiyasuren, B. Lkhagvasuren, N. Budhathoki, M. Laituri. Developing and evaluating transit-based healthcare accessibility in a low- and middle-income country: A case study in Ulaanbaatar, Mongolia. Habitat International (in review). https://doi.org/10.1016/j.habitatint.2022.102729 | 2022 |
5. | Liu, Q., Xu, H., Houser, P.R., Sun, D., Rice, M., Wang, L., Duffy, D.Q. and Yang, C., 2023. Cross-track infrared sounder cloud fraction retrieval using a deep neural network. Computers & Geosciences, 170, p.105268. https://doi.org/10.1016/j.cageo.2022.105268 | 2022 |
6. | Springer book: The Geographies of COVID-19, M. Laituri, R. Richardson, J. Kim, publication – Oct/Nov 2022 https://link.springer.com/book/9783031117749 | 2022 |
7. | Li, S., Goldberg, M., Kalluri, S., Lindsey, D. T., Sjoberg, B., Zhou, L., … & Sun, D. (2022). High Resolution 3D Mapping of Hurricane Flooding from Moderate-Resolution Operational Satellites. Remote Sensing , 14 (21), 5445. | 2022 |
8. | Li, S., Sun, D., Goldberg, M. D., Kalluri, S., Sjoberg, B., Lindsey, D., … & Lander, K. (2022). A downscaling model for derivation of 3-D flood products from VIIRS imagery and SRTM/DEM. ISPRS Journal of Photogrammetry and Remote Sensing, 192, 279-298. | 2022 |
9. | Lynnes, C., Little, M. M., Huang, T., Jacob, J. C., Yang, C. P., Hegde, M., & Zhang, H. (2022). Benchmark Comparison of Cloud Analytics Methods Applied to Earth Observations. Big Data Analytics in Earth, Atmospheric, and Ocean Sciences , 137-151. | 2022 |
10. | Zifu Wang, Yudi Chen, Yun Li, Devika Kakkar, Wendy Guan, and et al (11). 9/7/2022. “Public Opinions on COVID-19 Vaccines—A Spatiotemporal Perspective on Races and Topics Using a Bayesian-Based Method.” Vaccines, 10, 9. Publisher’s Version https://doi.org/10.3390/vaccines10091486 | 2022 |
11. | Devika Kakkar, Jeffrey Blossom, and Wendy Guan. 8/5/2022. “RINX: A Solution for Information Extraction from Big Raster Datasets.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Publisher’s Version https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-245-2022 | 2022 |
12. | Huang, T., Chung, N., Dunn, A., Hovland, E., Kang, J., Loubrieu, T., … & Liu, Q. (2022, July). An Advanced Open-Source Platform for Air Quality Analysis, Visualization, and Prediction. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 6574-6577). IEEE. | 2022 |
13. | Liu, Q., Srirenganathanmalarvizhi, A., Howell, K. and Yang, C., 2022. Tropospheric Nitrogen Dioxide Increases Past Pre-Pandemic Levels Due to Economic Reopening in India. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2022.962891 | 2022 |
14. | Alabduljabbar, A., Ma, R., Choi, S., Jang, R., Chen, S., & Mohaisen, D. (2022, May). Understanding the security of free content websites by analyzing their ssl certificates: A comparative study. In Proceedings of the 1st Workshop on Cybersecurity and Social Sciences (pp. 19-25). | 2022 |
15. | Li, Y., Yang, R., Su, H., & Yang, C. (2022). Discovering Precursors to Tropical Cyclone Rapid Intensification in the Atlantic Basin Using Spatiotemporal Data Mining. Atmosphere, 13(6), 882. https://doi.org/10.3390/atmos13060882 | 2022 |
16. | Devika Kakkar, Ben Lewis, and Wendy Guan. 5/18/2022. “Interactive analysis of big geospatial data with high-performance computing: A case study of partisan segregation in the United States.” Transactions in GIS. Publisher’s Version https://doi.org/10.1111/tgis.12955 | 2022 |
17. | Li, S., Sun, D., Goldberg, M., Kalluri, S., Lindsey, D., & Sjoberg, W. (2022, July). The Global GEO-LEO Flood Mapping System. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 4773-4775). IEEE. | 2022 |
18. | Mengxi Zhang, Siqin Wang, Tao Hu, Xiaokang Fu, Xiaoyue Wang, Yaxin Hu, Briana Halloran, Zhenlong Li, Yunhe Cui, Haokun Liu, Zhimin Liu, and Shuming Bao. 3/3/2022. “Human mobility and COVID-19 transmission: a systematic review and future directions.” Annals of GIS. Publisher’s Version https://doi.org/10.1080/19475683.2022.2041725 | 2022 |
19. | Junghwan Kim, Erica Hagen, Zacharia Muindi, Gaston Mbonglou, and Melinda Laituri. 6/1/2022. “An examination of water, sanitation, and hygiene (WASH) accessibility and opportunity in urban informal settlements during the COVID-19 pandemic: Evidence from Nairobi, Kenya.” Science of the Total Environment, 823. Publisher’s Version https://doi.org/10.1016/j.scitotenv.2022.153398 | 2022 |
20. | Chaowei Phil Yang, Shuming Bao, Wendy Guan, Kate Howell, Tao Hu, Hai Lan, Yun Li, Qian Liu, Jennifer Smith, Anusha Srirenganathan, Theo Trefonides, Kevin Wang & Zifu Wang (2022) Challenges and opportunities of the spatiotemporal responses to the global pandemic of COVID-19, Annals of GIS, 28:4, 425-434 | 2022 |
21. | Qian Liu, Hui Xu, Paul R. Houser, Donglian Sun, Matthew Rice, Likun Wang, Daniel Q. Duffy, Chaowei Yang, Cross-track infrared sounder cloud fraction retrieval using a deep neural network, Computers & Geosciences, Volume 170, 2023, 105268. | 2022 |
22. | Liu, X.; Kim, R.; Zhang, W.; Guan, W.W.; Subramanian, S.V. Spatial Variations of Village-Level Environmental Variables from Satellite Big Data and Implications for Public Health–Related Sustainable Development Goals. Sustainability 2022, 14, 10450. | 2022 |
1. | Qian Liu, Juan Gu, Jingchao Yang, Yun Li, Dexuan Sha, Mengchao Xu, Ishan Shams, Manzhu Yu and Chaowei Yang, 2021. Urban Informatics, Cloud, Edge and Mobile Computing for Smart Cities, Springer. | 2021 |
2. | Li, Y., Li, M., Rice, M., Zhang, H., Sha, D., Li, M., Su, Y. and Yang, C., 2021. The Impact of Policy Measures on Human Mobility, COVID-19 Cases, and Mortality in the US: A Spatiotemporal Perspective. International Journal of Environmental Research and Public Health, 18(3), p.996. | 2021 |
1. | Yang, C., Sha, D., Liu, Q., Li, Y., Lan, H., Guan, W. W., … & Ding, A. (2020). Taking the pulse of COVID-19: A spatiotemporal perspective. International journal of digital earth, 13(10), 1186-1211. | 2020 |
2. | Yang, C., Clarke, K., Shekhar, S., & Tao, C. V. (2020). Big Spatiotemporal Data Analytics: A research and innovation frontier. | 2020 |
3. | Liu, Q., Malarvizhi, A.S., Liu, W., Xu, H., Harris, J.T., Yang, J., Duffy, D.Q., Little, M.M., Sha, D., Lan, H. and Yang, C., 2021. Spatiotemporal Changes in Global Nitrogen Dioxide Emission Due to COVID-19 Mitigation Policies. Science of The Total Environment, p.146027. | 2020 |
4. | Liu, Q., Harris, J.T., Chiu, L.S., Sun, D., Houser, P.R., Yu, M., Duffy, D.Q., Little, M.M. and Yang, C., 2021. Spatiotemporal impacts of COVID-19 on air pollution in California, USA. Science of The Total Environment, 750, p.141592. | 2020 |
5. | Liu, Q., Xu, H., Sha, D., Lee, T., Duffy, D.Q., Walter, J. and Yang, C., 2020. Hyperspectral Infrared Sounder Cloud Detection Using Deep Neural Network Model. IEEE Geoscience and Remote Sensing Letters. DOI: 10.1109/LGRS.2020.3023683. | 2020 |
6. | Liu, Q., Sha, D., Liu, W., Houser, P., Zhang, L., Hou, R., Lan, H., Flynn, C., Lu, M., Hu, T. and Yang, C., 2020. Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data. Remote Sensing, 12(10), p.1576. (Interviewed and reported by the Atlantic Magazine) | 2020 |
7. | Liu, Q., Liu, W., Sha, D., Kumar, S., Chang, E., Arora, V., Lan, H., Li, Y., Wang, Z., Zhang, Y., Zhang, Z., Harris, J. T., 2020. An Environmental Data Collection for COVID-19 Pandemic Research. Data, 5(3), p.68. (Featured as front cover of the Data Journal 3rd quarter issue of 2020) | 2020 |
8. | Sha, D., Liu, Y., Liu, Q., Li, Y., Tian, Y., Beaini, F., … and Yang, C. (2020). A spatiotemporal data collection of viral cases for COVID-19 rapid response. Big Earth Data, 1-22. | 2020 |
9. | Sha, D., Malarvizhi, A. S., Liu, Q., Tian, Y., Zhou, Y., Ruan, S., … and Yang, C. (2020). A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research. Data, 5(4), 118. | 2020 |
10. | Sha, D., Miao, X., Lan, H., Stewart, K., Ruan, S., Tian, Y., … and Yang, C. (2020). Spatiotemporal analysis of medical resource deficiencies in the US under COVID-19 pandemic. PloS one, 15(10), e0240348. | 2020 |
11. | Sha, D., Miao, X., Xu, M., Yang, C., Xie, H., Mestas-Nuñez, A. M., … and Yang, J. (2020). An on-demand service for managing and analyzing arctic sea ice high spatial resolution imagery. Data, 5(2), 39. | 2020 |
12. | Li, Y., Jiang, Y., Yang, C., Yu, M., Kamal, L., Armstrong, E.M., Huang, T., Moroni, D. and McGibbney, L.J., 2020. Improving search ranking of geospatial data based on deep learning using user behavior data. Computers & Geosciences, 142, p.104520. | 2020 |
13. | Li, Y., Horowitz, M.A., Liu, J., Chew, A., Lan, H., Liu, Q., Sha, D. and Yang, C., 2020. Individual-level fatality prediction of COVID-19 patients using AI methods. Frontiers in Public Health, 8, p.566. | 2020 |
14. | Li, Y., Jiang, Y., Goldstein, J.C., Mcgibbney, L.J. and Yang, C., (2020). A Query Understanding Framework for Earth Data Discovery. Applied Sciences, 10(3), p.1127. | 2020 |
15. |
Yu, M., Bambacus, M., Cervone, G., Clarke, Keith., Duffy D., Huang, Q., Li, J., Li, W., Li, Z., Liu, Q., Resch, B., Yang, J and Yang, C. (2020): Spatiotemporal event detection: a review, International Journal of Digital Earth, DOI: 10.1080/17538947.2020.1738569. | 2020 |
16. | van Genderen, J., Goodchild, M.F., Guo, H., Yang, C., Nativi, S., Wang, L. and Wang, C., (2020). Digital Earth Challenges and Future Trends. In Manual of Digital Earth (pp. 811-827). Springer, Singapore. | 2020 |
17. | Li, Y., Yu, M., Xu, M., Yang, J., Sha, D., Liu, Q. and Yang, C., (2020). Big Data and Cloud Computing. In Manual of Digital Earth (pp. 325-355). Springer, Singapore. | 2020 |
1. | Liu, Q., Li, Y., Yu, M., Chiu, L., Hao, X., Duffy, D. and Yang, C.P., (2019), December. Rainy Cloud Detection and Convective Precipitation Delineation Based on Deep Neural Network Method Using GOES-16 ABI Images. In AGU Fall Meeting 2019. AGU. | 2019 |
2. | Yang, J., Yu, M. and Yang, C.P., (2019), December. Micro-scale Urban Heat Island Analytics with Anthropogenic Heat Releases and A Deep Learning Based Spatiotemporal Prediction Framework. In AGU Fall Meeting 2019. AGU. | 2019 |
3. | Yang, C., Clarke, K., Shekhar, S. and Tao, C.V., (2019). Big Spatiotemporal Data Analytics: a research and innovation frontier. | 2019 |
4. | Yu, M., Huang, Q., Qin, H., Scheele, C. and Yang, C., (2019). Deep learning for real-time social media text classification for situation awareness–using Hurricanes Sandy, Harvey, and Irma as case studies. International Journal of Digital Earth, 12(11), pp.1230-1247. | 2019 |
5. | Chen, M., Yue, S., Lü, G., Lin, H., Yang, C., Wen, Y., Hou, T., Xiao, D. and Jiang, H., (2019). Teamwork-oriented integrated modeling method for geo-problem solving. Environmental modelling & software, 119, pp.111-123. | 2019 |
6. | Gao, Y., Zhao, L., Wu, L., Ye, Y., Xiong, H. and Yang, C., (2019), July. Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp. 3638-3646). | 2019 |
7. | Yue, S., Chen, M., Yang, C., Shen, C., Zhang, B., Wen, Y. and Lü, G., (2019). A loosely integrated data configuration strategy for web-based participatory modeling. GIScience & Remote Sensing, 56(5), pp.670-698. | 2019 |
8. | Hu, F., Li, Z., Yang, C. and Jiang, Y., (2019). A graph-based approach to detecting tourist movement patterns using social media data. Cartography and Geographic Information Science, 46(4), pp.368-382. | 2019 |
9. | Shams, I., Li, Y., Yang, J., Yu, M., Yang, C., Bambacus, M., Lewis, R., Nuth, J.A., Oman, L., Leung, R. and Seery, B.D., (2019). Planetary Defense Mitigation Gateway: A One-Stop Gateway for Pertinent PD-Related Contents. Data, 4(2), p.47. | 2019 |
10. | Yang, C., Yu, M., Li, Y., Hu, F., Jiang, Y., Liu, Q., Sha, D., Xu, M. and Gu, J., (2019). Big Earth data analytics: A survey. Big Earth Data, 3(2), pp.83-107. | 2019 |
11. | Yang, J., Yu, M., Qin, H., Lu, M. and Yang, C., (2019). A Twitter Data Credibility Framework—Hurricane Harvey as a Use Case. ISPRS International Journal of Geo-Information, 8(3), p.111. | 2019 |
12. | Liu, Q., Li, Y., Yu, M., Chiu, L.S., Hao, X., Duffy, D.Q. and Yang, C., (2019). Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images. Remote Sensing, 11(21), p.2555. | 2019 |
13. | Sun, D., Li, Y., Zhan, X., Houser, P., Yang, C., Chiu, L. and Yang, R., (2019). Land Surface Temperature Derivation under All Sky Conditions through Integrating AMSR-E/AMSR-2 and MODIS/GOES Observations. Remote Sensing, 11(14), p.1704 | 2019 |
14. | Li, Y., Jiang, Y., Gu, J., Lu, M., Yu, M., Armstrong, E.M., Huang, T., Moroni, D., McGibbney, L.J., Frank, G. and Yang, C., (2019). A Cloud-Based Framework for Large-Scale Log Mining through Apache Spark and Elasticsearch. Applied Sciences, 9(6), p.1114. | 2019 |
15. | Yang, C., Fu, P., Goodchild, M.F. and Xu, C., (2019). Integrating GIScience Application Through Mashup. In CyberGIS for Geospatial Discovery and Innovation (pp. 87-112). Springer, Dordrecht. | 2019 |
1. | Shams, I., Barbee, B., Bambacus, M., Yang, C.P., Yu, M. and Jiang, Y., (2018), December. Planetary Defense Mitigation Gateway. In AGU Fall Meeting Abstracts. | 2018 |
2. | Lu, M., Chen, M., Wang, X., Yu, M., Jiang, Y. and Yang, C., (2018). 3D modelling strategy for weather radar data analysis. Environmental earth sciences, 77(24), p.804. | 2018 |
3. | Yu, M., Yang, C. and Jin, B., (2018). A framework for natural phenomena movement tracking–Using 4D dust simulation as an example. Computers & geosciences, 121, pp.53-66. | 2018 |
4. | Xia, J., Yang, C. and Li, Q., (2018). Building a spatiotemporal index for earth observation big data. International journal of applied earth observation and geoinformation, 73, pp.245-252. | 2018 |
5. | Xia, J., Yang, C. and Li, Q., (2018). Using spatiotemporal patterns to optimize Earth Observation Big Data access: Novel approaches of indexing, service modeling and cloud computing. Computers, Environment and Urban Systems, 72, pp.191-203. | 2018 |
6. | Lynnes, C., Little, M.M., Huang, T., Jacob, J.C., Yang, C.P., Hegde, M. and Zhang, H., 2018. Benchmark Comparison of Cloud Analytics Methods Applied to Earth Observations. | 2018 |
7. | Hu, F., Yang, C., Jiang, Y., Li, Y., Song, W., Duffy, D.Q., Schnase, J.L. and Lee, T., (2018). A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data. International Journal of Digital Earth, pp.1-19. | 2018 |
8. | Jiang, Y., Li, Y., Yang, C., Hu, F., Armstrong, E.M., Huang, T., Moroni, D., McGibbney, L.J. and Finch, C.J., (2018). Towards intelligent geospatial data discovery: a machine learning framework for search ranking. International journal of digital earth, 11(9), pp.956-971. | 2018 |
9. | Zheng, L., Sun, M., Luo, Y., Song, X., Yang, C., Hu, F. and Yu, M., (2018). Utilizing MapReduce to Improve Probe-Car Track Data Mining. ISPRS International Journal of Geo-Information, 7(7), p.287. | 2018 |
10. | Hu, F., Yang, C., Schnase, J.L., Duffy, D.Q., Xu, M., Bowen, M.K., Lee, T. and Song, W., (2018). ClimateSpark: An in-memory distributed computing framework for big climate data analytics. Computers & geosciences, 115, pp.154-166. | 2018 |
12. | Yu, M., Yang, C. and Li, Y., (2018). Big data in natural disaster management: a review. Geosciences, 8(5), p.165. | 2018 |
13. | Hu, F., Xu, M., Yang, J., Liang, Y., Cui, K., Little, M. M., … & Yang, C. (2018). Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data. ISPRS International Journal of Geo-Information, 7(4), 144. | 2018 |
14. | Jiang, Y., Li, Y., Yang, C., Hu, F., Armstrong, E. M., Huang, T., … & Finch, C. J. (2018). A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example. ISPRS International Journal of Geo-Information, 7(2), 62. | 2018 |
15. | Rezgui, A., Malik, Z., Xia, J., Liu, K., & Yang, C. (2013). Data-intensive spatial indexing on the clouds. Procedia Computer Science, 18, 2615-2618. | 2018 |
16. | Rice, M. T., Jacobson, D., Pfoser, D., Curtin, K. M., Qin, H., Coll, K., … & Aburizaiza, A. O. (2018). Quality Assessment and Accessibility Mapping in an Image-Based Geocrowdsourcing Testbed. Cartographica: The International Journal for Geographic Information and Geovisualization, 53(1), 1-14. | 2018 |
17. | Fuhrmann, S. (2018). User-Centered Design for Geoinformation Technologies. | 2018 |
18. | Li, S., Sun, D., Goldberg, M. D., Sjoberg, B., Santek, D., Hoffman, J. P., … & Holloway, E. (2018). Automatic near real-time flood detection using Suomi-NPP/VIIRS data. Remote Sensing of Environment, 204, 672-689. | 2018 |
19. | Paolo Corti; Benjamin Lewis; Athanasios Tom Kralidis, Hypermap Registry: an open source, standards-based geospatial registry and search platform, Springer Open Publications, Open Geospatial Data, Software and Standards. April 2018. | 2018 |
20. | Corti, P., Kralidis, A.T., Lewis, B., 2018. Enhancing discovery in spatial data infrastructures using a search engine. PeerJ Computer Science. | 2018 |
21. | Paolo Corti and Ben Lewis. Implementing an Open Source Spatiotemporal Search Platform for Spatial Data Infrastructures. PeerJ Computer Science. April 2018. | 2018 |
22. | Blodgett, D., Dornblut, I., Atkinson, R., Lieberman, J., Smith, D., Simons, B. Arctur, D., Beaufils, M., Grellet, S. Corchero, A., OGC® WaterML 2: Part 3 – Surface Hydrology Features (HY_Features) – Conceptual Model, Open Geospatial Consortium, 2018. http://docs.opengeospatial.org/is/14-111r6/14-111r6.html. | 2018 |
23. | Josh Lieberman, Devika Kakkar, Benjamin Lewis, Weihe Wendy Guan and Todd Mostak, GPU-accelerated query and analysis of large spatiotemporal datasets applied to the National Water Model, AAG Annual Meeting. New Orleans. April 2018. | 2018 |
24. | Irmischer, I. J and Clarke, K. C. (2018) Measuring and modeling the speed of human navigation. Cartography and Geographic Information Science 45 , 2, 177-186. | 2018 |
25. | Seda Şalap-Ayça, Piotr Jankowski, Keith C Clarke, Phaedon C Kyriakidis & Atsushi Nara (2018) A meta-modeling approach for spatio-temporal uncertainty and sensitivity analysis: an application for a cellular automata-based Urban growth and land-use change model, International Journal of Geographical Information Science, 32:4, 637-662, DOI: 10.1080/13658816.2017.1406944 | 2018 |
26. | Martellozzo,F., Amato, F. Murgante, B. and Clarke, K. C. (2018) Modelling the impact of urban growth on agriculture and natural land in Italy to 2030. Applied Geography. 91, 156–16. | 2018 |
27. | Aerts, J. C. J. H., Botzen, W. J., Clarke, K. C., Cutter, S. L., Hall, J.. W., Merz, B., Michel-Kerjan, E. Mysiak, J. , Surminski, S. and Kunreuther, H. (2018) Integrating human behaviour dynamics into flood disaster risk assessment. Nature—Climate Change, Perspective. doi.org/10.1038/s41558-018-0085-1. | 2018 |
45. | Jiang, Y., Yang, C. P., Armstrong, E. M., Huang, T., Moroni, D. F., McGibbney, L. J., & Greguska III, F. R. (2017, December). Optimizing Earth Data Search Ranking using Deep Learning and Real-time User Behaviour. In AGU Fall Meeting Abstracts. | 2017 |
46. | Xu, M., Hu, F., Yang, J., Yu, M., & Yang, C. P. (2017, December). Data Container Study for Handling array-based data using Hive, Spark, MongoDB, SciDB and Rasdaman. In AGU Fall Meeting Abstracts. | 2017 |
47. | Li, Y., Jiang, Y., Yang, C. P., Armstrong, E. M., Huang, T., Moroni, D. F., … & McGibbney, L. J. (2017, December). A Geospatial Data Recommender System based on Metadata and User Behaviour. In AGU Fall Meeting Abstracts. | 2017 |
48. | Armstrong, E. M., Yang, C. P., Moroni, D. F., McGibbney, L. J., Jiang, Y., Huang, T., … & Finch, C. J. (2017, December). Building a better search engine for earth science data. In AGU Fall Meeting Abstracts. | 2017 |
49. | Yang, C. P., Bambacus, M., Duffy, D., & Little, M. M. (2017, December). A Big Data Platform for Storing, Accessing, Mining and Learning Geospatial Data. In AGU Fall Meeting Abstracts. | 2017 |
50. | Jiang, Y., Li, Y., Yang, C., Liu, K., Armstrong, E. M., Huang, T., … & Finch, C. J. (2017). A comprehensive methodology for discovering semantic relationships among geospatial vocabularies using oceanographic data discovery as an example. International Journal of Geographical Information Science, 31(11), 2310-2328. | 2017 |
51. | Li, Y., Yang, R., Yang, C., Yu, M., Hu, F., & Jiang, Y. (2017). Leveraging LSTM for rapid intensifications prediction of tropical cyclones. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 4. | 2017 |
52. | Jiang, Y., Li, Y., Yang, C., Hu, F., Armstrong, E. M., Huang, T., … & Finch, C. J. (2017). Towards intelligent geospatial data discovery: a machine learning framework for search ranking. International Journal of Digital Earth, 1-16. | 2017 |
53. | Bambacus, M., Yang, C. P., Leung, R. Y., Barbee, B., Nuth, J. A., Seery, B., … & Xu, M. (2017). A Planetary Defense Gateway for Smart Discovery of relevant Information for Decision Support. | 2017 |
54. | Yu, M., & Yang, C. (2017). A 3D multi-threshold, region-growing algorithm for identifying dust storm features from model simulations. International Journal of Geographical Information Science, 31(5), 939-961. | 2017 |
55. | Yang, C. (2017). Introduction to GIS Programming and Fundamentals with Python and ArcGIS®. CRC Press. | 2017 |
56. | Yang, C. P., Yu, M., Xu, M., Jiang, Y., Qin, H., Li, Y., … & Seery, B. (2017, March). An architecture for mitigating near earth object’s impact to the earth. In Aerospace Conference, 2017 IEEE (pp. 1-13). IEEE. | 2017 |
57. | Yang, C., Huang, Q., Li, Z., Liu, K., & Hu, F. (2017). Big Data and cloud computing: innovation opportunities and challenges. International Journal of Digital Earth, 10(1), 13-53. | 2017 |
58. | Li, Z., Hu, F., Schnase, J. L., Duffy, D. Q., Lee, T., Bowen, M. K., & Yang, C. (2017). A spatiotemporal indexing approach for efficient processing of big array-based climate data with MapReduce. International Journal of Geographical Information Science, 31(1), 17-35. | 2017 |
59. | Yang, C., Yu, M., Hu, F., Jiang, Y., & Li, Y. (2017). Utilizing cloud computing to address big geospatial data challenges. Computers, Environment and Urban Systems, 61, 120-128. | 2017 |
60. | Li, Z., Yang, C., Huang, Q., Liu, K., Sun, M., & Xia, J. (2017). Building Model as a Service to support geosciences. Computers, Environment and Urban Systems, 61, 141-152. | 2017 |
61. | Züfle, A., Trajcevski, G., Pfoser, D., Renz, M., Rice, M. T., Leslie, T., … & Emrich, T. (2017, April). Handling uncertainty in geo-spatial data. In Data Engineering (ICDE), 2017 IEEE 33rd International Conference on (pp. 1467-1470). IEEE. | 2017 |
62. | Fayne, J. V., Bolten, J. D., Doyle, C. S., Fuhrmann, S., Rice, M. T., Houser, P. R., & Lakshmi, V. (2017). Flood mapping in the lower Mekong River Basin using daily MODIS observations. International journal of remote sensing, 38(6), 1737-1757. | 2017 |
63. | Shortridge, A. M., Fayne, J. V., & Rice, M. T. (2017). Modeling Uncertainty in Digital Elevation Models. The International Encyclopedia of Geography. | 2017 |
64. | Pettitt, A., & Fuhrmann, S. (2017). The Robinson House in the AR-Based Manassas Battlefield National Park Experience. i-com, 16(3), 215-222. | 2017 |
65. | Dailey, L. A., & Fuhrmann, S. (2017). GIS-Based Logistic Regression for Landslide Susceptibility Analysis in Western Washington State. International Journal of Applied Geospatial Research (IJAGR), 8(2), 1-19. | 2017 |
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