Publications

 

PUBLICATIONS: YEAR
1. Li, Y., Jiang, Y., Goldstein, J.C., Mcgibbney, L.J. and Yang, C., (2020). A Query Understanding Framework for Earth Data Discovery. Applied Sciences10(3), p.1127. 2020
2.

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
3. 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
4. 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
5. 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
6. 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
7. Yang, C., Clarke, K., Shekhar, S. and Tao, C.V., (2019). Big Spatiotemporal Data Analytics: a research and innovation frontier. 2019
8. 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
9. 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 & software119, pp.111-123. 2019
10. 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
11. 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 Sensing56(5), pp.670-698. 2019
12. 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 Science46(4), pp.368-382. 2019
13. 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. Data4(2), p.47. 2019
14. 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 Data3(2), pp.83-107. 2019
15. 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-Information8(3), p.111. 2019
16. 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 Sensing11(21), p.2555. 2019
17. 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 Sensing11(14), p.1704 2019
18. 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 Sciences9(6), p.1114. 2019
19. 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
20. 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
21. Lu, M., Chen, M., Wang, X., Yu, M., Jiang, Y. and Yang, C., (2018). 3D modelling strategy for weather radar data analysis. Environmental earth sciences77(24), p.804. 2018
22. Yu, M., Yang, C. and Jin, B., (2018). A framework for natural phenomena movement tracking–Using 4D dust simulation as an example. Computers & geosciences121, pp.53-66. 2018
23. Xia, J., Yang, C. and Li, Q., (2018). Building a spatiotemporal index for earth observation big data. International journal of applied earth observation and geoinformation73, pp.245-252. 2018
24. 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 Systems72, pp.191-203. 2018
25. 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
26. 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
27. 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 earth11(9), pp.956-971. 2018
28. 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-Information7(7), p.287. 2018
29. 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 & geosciences115, pp.154-166. 2018
30. Yu, M., Yang, C. and Li, Y., (2018). Big data in natural disaster management: a review. Geosciences8(5), p.165. 2018
31. 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
32. 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
33. 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
33. 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
34. Fuhrmann, S. (2018). User-Centered Design for Geoinformation Technologies. 2018
35. 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
36. 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
37. Corti, P., Kralidis, A.T., Lewis, B., 2018. Enhancing discovery in spatial data infrastructures using a search engine. PeerJ Computer Science. 2018
38. Paolo Corti and Ben Lewis. Implementing an Open Source Spatiotemporal Search Platform for Spatial Data Infrastructures. PeerJ Computer Science. April 2018. 2018
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
66. 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
67. Zheng, W., Sun, D., & Li, S. (2017). Mapping coastal floods induced by hurricane storm surge using ATMS data. International Journal of Remote Sensing, 38(23), 6846-6864. 2017
68. Li, S., Sun, D., Goldberg, M., Sjoberg, W., Santek, D., & Hoffman, J. (2017, December). Introduction to SNPP/VIIRS Flood Mapping Software Version 1.0. In AGU Fall Meeting Abstracts. 2017
69. Hu, T., Cao, B., Du, Y., Li, H., Wang, C., Bian, Z., … & Liu, Q. (2017). Estimation of Surface Upward Longwave Radiation Using a Direct Physical Algorithm. IEEE Transactions on Geoscience and Remote Sensing, 55(8), 4412-4426. 2017
70. DeWeese, M., Li, S., Sun, D., Goldberg, M., & Sjoberg, B. (2017, July). Application of suomi-npp/viirs data in near real time flood detection. In Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International (pp. 2790-2793). IEEE. 2017
71. Benjamin Lewis, Weihe Wendy Guan and Alenka Poplin. Evaluating the Current State of Geospatial Software as a Service Platforms: A Comparison Study. In Citizen Empowered Mapping. Michael Leitner and Jamal Jokar Arsanjani eds. Springer. June 2017. 2017
72. Blodgett, D., Rea, A., and Lieberman, J., “The future of hydrography from the perspective of David Blodgett, USGS; Alan Rea, USGS; and Joshua Lieberman, Harvard CGA”, in “GIS for Surface Water”, Simley, J. ed., 2017, ESRI Press, Redlands. 2017
73. Cortia, P. and Lewis, B., “Making temporal search more central in spatial data infrastructures.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W2, 2017. 2nd International Symposium on Spatiotemporal Computing 2017, 7–9 August, Cambridge, USA. 2017
74. Kakkar, D. and Lewis, B., “Building a billion spatio-temporal object search and visualization platform.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W2, 2017. 2nd International Symposium on Spatiotemporal Computing 2017, 7–9 August, Cambridge, USA. 2017
75. Devika Kakkar, Ben Lewis, David Smiley and Ariel Nunez. The Billion Object Platform (BOP): a system to lower barriers to support big, streaming, spatio-temporal data sources. FOSS4G, Boston, Massachusetts, August 18, 2017. http://gis.harvard.edu/publications/billion-object-platform-bop-streaming-spatio-temporal-data-sources. 2017
76. Lieberman, J., Bermudez, L., Leinenweber, L., Botts,M., and Liang, S., “Rapid-response sensor networks leveraging open standards and the Internet of Things”, January 2017, Earth Science Information Partners Winter Meeting, Bethesda 2017
77. Benjamin Lewis, Paolo Corti and Wendy Guan. Harvard Hypermap: An Open Source Framework for Making the World’s Geospatial Information more Accessible. AAG Annual Meeting. Boston, Massachusetts. April 2017. http://gis.harvard.edu/publications/harvard-hypermap-open-source-framework-making-world%E2%80%99s-geospatial-information-more 2017
78. Lieberman, J., “Applications for a Surface Hydro Ontology and Linked Data Model”, April 2017, AAG Annual Meeting Boston 2017
79. Gonzalez, B., “A Statistical Analysis for Linked Data”, April 2017, AAG Annual Meeting Boston 2017
80. Zhang, M., Lieberman, J. “An ontology-driven and service-enabled scientific workflow platform for geoprocessing”, April 2017, AAG Annual Meeting Boston 2017
81. Merrick Lex Berman, Devika Kakkar, Wendy Guan, and Fei Carnes. Enabling Spatiotemporal Analysis and Visualization of Air Pollution in China and India. The 25th International Conference on Geoinformatics. Buffalo, NY. August 3, 2017. http://gis.harvard.edu/publications/enabling-spatiotemporal-analysis-and-visualization-air-pollution-china-and-india 2017
82. Paolo Corti and Ben Lewis. Making Temporal Search Central in a Spatial Data Infrastructure. Second International Symposium on Spatiotemporal Computing. Cambridge, Massachusetts. August 7, 2017. http://gis.harvard.edu/publications/making-temporal-search-central-spatial-data-infrastructure 2017
83. Devika Kakkar and Ben Lewis. Building a Billion Spatio-Temporal Object Search and Visualization Platform. Oral presentation in the Second International Symposium on Spatiotemporal Computing, Cambridge, Massachusetts, August 8, 2017. http://gis.harvard.edu/publications/building-open-source-real-time-billion-object-spatio-temporal-search-plaform. 2017
84. Lieberman, J. “SWE-IoT-based spatiotemporal access to critical sensor data using ad hoc sensor hub constellations”, August 2017, Second International Symposium on Spatiotemporal Computing, Boston 2017
85. Zhang, M., Lieberman, J., and Yue, P., “An ontology for processing service orchestration”, August 2017, Sixth International Conference on Agro-Geoinformatics, Fairfax 2017
86. Paolo Corti, Ben Lewis and Devika Kakkar. Building SDIs and geoportals with GeoNode and a search engine. FOSS4G, Cambridge, Massachusetts. August 15, 2017. http://gis.harvard.edu/publications/building-sdis-and-geoportals-geonode-and-search-engine 2017
87. Paolo Corti, Ben Lewis and Ariel Nunez. Maintaining Spatial Data Infrastructures (SDIs) using distributed task queues. FOSS4G, Boston, Massachusetts. August 16, 2017 http://gis.harvard.edu/publications/maintaining-spatial-data-infrastructures-sdis-using-distributed-task-queues 2017
88. Simone Dalmasso, Francesco Bartoli, Paolo Corti, Jeffrey Johnson and Ariel Núñez. The State of GeoNode. FOSS4G. Boston, Massachusetts. August 16, 2017 2017
89. Clarke, K. C. and Irmischer, I. J. (2017) On Scale in Space, Time, and Space–Time. In: Dale A. Quattrochi, Elizabeth Wentz, Nina Siu-Ngan Lam, Charles W. Emerson (eds) Integrating Scale in Remote Sensing and GIS, CRC Press. 2017
90. Su Yeon Han, Ming-Hsiang Tsou & Keith C. Clarke (2017): Revisiting the death of geography in the era of Big Data: the friction of distance in cyberspace and real space, International Journal of Digital Earth, DOI: 10.1080/17538947.2017.1330366. 2017
91. Park, S., Clarke, K.C.. Choi, C. and Kim, J. (2017) Simulating Land Use Change in the Seoul Metropolitan Area after Greenbelt Elimination Using the SLEUTH Model, Journal of Sensors, vol. 2017, Article ID 4012929. doi:10.1155/2017/4012929 2017
92. Wu, H., Yin, Y., Wang, S. , Shi, W., Clarke, K.C., and Miao, Z. (2017) Optimizing GPS-guidance transit route for cable crane collision avoidance using artificial immune algorithm. GPS Solutions 21, 2, 1, 823-834. 2017
93. Clarke, K. (2017). Cellular Automata. The Geographic Information Science & Technology Body of Knowledge (3rd Quarter 2017 Edition), John P. Wilson (ed.). doi: 10.22224/gistbok/2017.3.9. 2017
94. Han, S. Clarke, K. C. and Tsou, M-H (2017) Animated Flow Maps for Visualizing Human Movement: Two Demonstrations with Air Traffic and Twitter Data Proceedings, 1st ACM SIGSPATIAL Workshop. DOI: 10.1145/3148044.3148049 2017
95. Jiangxia Ye, Mingshan Wu, Zhongjian Deng, Shengji Xu , Ruliang Zhou and Keith C. Clarke (2017) Modeling the spatial patterns of human wildfire ignition in Yunnan province, China. Applied Geography. 89, 150–162. https://doi.org/10.1016/j.apgeog.2017.09.012 2017
96. Yu, M., & Yang, C. (2016). Improving the Non-Hydrostatic Numerical Dust Model by Integrating Soil Moisture and Greenness Vegetation Fraction Data with Different Spatiotemporal Resolutions. PloS one, 11(12), e0165616. 2016
97. Li, Z., Yang, C., Liu, K., Hu, F., & Jin, B. (2016). Automatic scaling hadoop in the cloud for efficient process of big geospatial data. ISPRS International Journal of Geo-Information, 5(10), 173. 2016
98. Vance, T. C., Merati, N., Yang, C., & Yuan, M. (2016, September). Cloud computing for ocean and atmospheric science. In OCEANS 2016 MTS/IEEE Monterey (pp. 1-4). IEEE. 2016
99. Li, Y., Jiang, Y., Hu, F., Yang, C., Huang, T., Moroni, D., & Fench, C. (2016, September). Leveraging cloud computing to speedup user access log mining. In OCEANS 2016 MTS/IEEE Monterey (pp. 1-6). IEEE. 2016
100. Vance, T. C., Merati, N., Yang, C., & Yuan, M. (Eds.). (2016). Cloud Computing in Ocean and Atmospheric Sciences. Elsevier. 2016
101. Jiang, Y., Sun, M., & Yang, C. (2016). A generic framework for using multi-dimensional earth observation data in GIS. Remote Sensing, 8(5), 382. 2016
102. Jiang, Y., Li, Y., Yang, C., Armstrong, E. M., Huang, T., & Moroni, D. (2016). Reconstructing sessions from data discovery and access logs to build a semantic knowledge base for improving data discovery. ISPRS International Journal of Geo-Information, 5(5), 54. 2016
103. Gui, Z., Yu, M., Yang, C., Jiang, Y., Chen, S., Xia, J., … & Jin, B. (2016). Developing Subdomain Allocation Algorithms Based on Spatial and Communicational Constraints to Accelerate Dust Storm Simulation. PloS one, 11(4), e0152250. 2016
104. Zheng, L., Yu, M., Song, M., Stefanidis, A., Ji, Z., & Yang, C. (2016). Registration of Long-Strip Terrestrial Laser Scanning Point Clouds Using RANSAC and Closed Constraint Adjustment. Remote Sensing, 8(4), 278. 2016
105. Seery, B. D., Bambacus, M., Leung, R., Greenaugh, K., Raccah, F., Boslough, M., & Yang, C. P. (2016, March). Near Earth object mitigation studies. In Aerospace Conference, 2016 IEEE (pp. 1-12). IEEE. 2016
106. Hu, F., Yang, C. P., Duffy, D., Schnase, J. L., & Li, Z. (2016, February). ClimateSpark: An In-memory Distributed Computing Framework for Big Climate Data Analytics. In AGU Fall Meeting Abstracts. 2016
107. Lynnes, C., Little, M. M., Huang, T., Jacob, J. C., Yang, C. P., & Kuo, K. S. (2016, February). Benchmark Comparison of Cloud Analytics Methods Applied to Earth Observations. In AGU Fall Meeting Abstracts. 2016
108. Yang, C. P. (2016, February). A Hybrid Cloud Computing Service for Earth Sciences. In AGU Fall Meeting Abstracts. 2016
109. Duffy, D., Spear, C., Bowen, M., Thompson, J., Hu, F., Yang, C., & Pierce, D. (2016, February). Emerging Cyber Infrastructure for NASA’s Large-Scale Climate Data Analytics. In AGU Fall Meeting Abstracts. 2016
110. Yang, C. P. (2016, February). Advancing Geoscience Resource Discovery with Cutting-Edge Cyberinfrastructure Technologies. In AGU Fall Meeting Abstracts. 2016
111. Houet, T., Aguejdad, R., Doukari, O., Battaia G. and Clarke, K. (2016) “Description and validation of a ‘non path-dependent’ model for projecting contrasting urban growth futures”, Cybergeo : European Journal of Geography, Systèmes, Modélisation, Géostatistiques, document 759 http://cybergeo.revues.org/27397 ; DOI : 10.4000/cybergeo.27397 2016
112. A Knowledge Discovery framework for Planetary Defense 2016
113. Xu, M., Hu, F., Yu, M., Scheele, C., Liu, K., Huang, Q., … & Little, M. M. (2016, February). Data Container Study for Handling Array-based Data Using Rasdaman, Hive, Spark, and MongoDB. In AGU Fall Meeting Abstracts. 2016
114. Jiang, Y., Yang, C., Xia, J., & Liu, K. (2016). Polar CI Portal: A Cloud-based Polar Resource Discovery Engine. In Cloud Computing in Ocean and Atmospheric Sciences (pp. 163-185). 2016
115. Wang, M., Liu, Q., Inoue, T., Li, B., Pottish, S., Wood, J., … & Tao, R. (2016). The K2CO3 fusion curve revisited: New experiments at pressures up to 12 GPa. Journal of Mineralogical and Petrological Sciences, 111(4), 241-251. 2016
116. Liu, K., Yang, C., Li, W., Gui, Z., Xu, C., & Xia, J. (2016). Using semantic search and knowledge reasoning to improve the discovery of earth science records: An example with the ESIP semantic testbed. In Mobile Computing and Wireless Networks: Concepts, Methodologies, Tools, and Applications (pp. 1375-1389). IGI Global. 2016
117. Aburizaiza, A. O., & Rice, M. T. (2016). Geospatial footprint library of geoparsed text from geocrowdsourcing. Spatial Information Research, 24(4), 409-420. 2016
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