Publications

 

PUBLICATIONS: YEAR
1. Yu, M., Yang, C., & Li, Y. (2018). Big Data in Natural Disaster Management: A Review. Geosciences, 8(5), 165. 2018
2. 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
3. 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
4. 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
5. 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
6. Fuhrmann, S. (2018). User-Centered Design for Geoinformation Technologies. 2018
7. 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
8. 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
9. Corti, P., Kralidis, A.T., Lewis, B., 2018. Enhancing discovery in spatial data infrastructures using a search engine. PeerJ Computer Science. 2018
10. Paolo Corti and Ben Lewis. Implementing an Open Source Spatiotemporal Search Platform for Spatial Data Infrastructures. PeerJ Computer Science. April 2018. 2018
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. Yang, C. (2017). Introduction to GIS Programming and Fundamentals with Python and ArcGIS®. CRC Press. 2017
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. Shortridge, A. M., Fayne, J. V., & Rice, M. T. (2017). Modeling Uncertainty in Digital Elevation Models. The International Encyclopedia of Geography. 2017
20. Pettitt, A., & Fuhrmann, S. (2017). The Robinson House in the AR-Based Manassas Battlefield National Park Experience. i-com, 16(3), 215-222. 2017
21. 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
22. 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
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. Lieberman, J., “Applications for a Surface Hydro Ontology and Linked Data Model”, April 2017, AAG Annual Meeting Boston 2017
35. Gonzalez, B., “A Statistical Analysis for Linked Data”, April 2017, AAG Annual Meeting Boston 2017
36. Zhang, M., Lieberman, J. “An ontology-driven and service-enabled scientific workflow platform for geoprocessing”, April 2017, AAG Annual Meeting Boston 2017
37. 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
38. 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
39. 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
40. 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
41. Zhang, M., Lieberman, J., and Yue, P., “An ontology for processing service orchestration”, August 2017, Sixth International Conference on Agro-Geoinformatics, Fairfax 2017
42. 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
43. 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
44. Simone Dalmasso, Francesco Bartoli, Paolo Corti, Jeffrey Johnson and Ariel Núñez. The State of GeoNode. FOSS4G. Boston, Massachusetts. August 16, 2017 2017
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
1. 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
2. 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
3. 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
4. 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
5. Vance, T. C., Merati, N., Yang, C., & Yuan, M. (Eds.). (2016). Cloud Computing in Ocean and Atmospheric Sciences. Elsevier. 2016
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. Yang, C. P. (2016, February). A Hybrid Cloud Computing Service for Earth Sciences. In AGU Fall Meeting Abstracts. 2016
14. 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
15. Yang, C. P. (2016, February). Advancing Geoscience Resource Discovery with Cutting-Edge Cyberinfrastructure Technologies. In AGU Fall Meeting Abstracts. 2016
16. 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
17. A Knowledge Discovery framework for Planetary Defense 2016
18. 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
19. 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
20. 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
21. 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
22. Aburizaiza, A. O., & Rice, M. T. (2016). Geospatial footprint library of geoparsed text from geocrowdsourcing. Spatial Information Research, 24(4), 409-420. 2016
23. Rice, R. M., Aburizaiza, A. O., Rice, M. T., & Qin, H. (2016). Position validation in crowdsourced accessibility mapping. Cartographica: The International Journal for Geographic Information and Geovisualization, 51(2), 55-66. 2016
24. Qin, H., Rice, R. M., Fuhrmann, S., Rice, M. T., Curtin, K. M., & Ong, E. (2016). Geocrowdsourcing and accessibility for dynamic environments. GeoJournal, 81(5), 699-716. 2016
25. Hu, T., Du, Y., Cao, B., Li, H., Bian, Z., Sun, D., & Liu, Q. (2016). Estimation of upward longwave radiation from vegetated surfaces considering thermal directionality. IEEE Transactions on Geoscience and Remote Sensing, 54(11), 6644-6658. 2016
26. Zheng, W., Sun, D., & Li, S. (2016, July). Coastal flood monitoring based on AMSR-E data. In Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International (pp. 4399-4401). IEEE. 2016
27. Sun, D., Li, S., Zheng, W., Croitoru, A., Stefanidis, A., & Goldberg, M. (2016). Mapping floods due to Hurricane Sandy using NPP VIIRS and ATMS data and geotagged Flickr imagery. International Journal of Digital Earth, 9(5), 427-441. 2016
28. Merrick Lex Berman, Ruth Mostern, Humphrey Southall, edited. Placing Names: Enriching and Extending Gazetteers. Indiana University Press. The Spatial Humanities Series. August 4, 2016. 2016
29. Corti, P., Lewis, B., Kralidis, A. T. and Mwenda, N. J., “Implementing an open source spatio-temporal search platform for Spatial Data Infrastructures.” PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.2238v7 | CC BY 4.0 Open Access | rec: 3 Oct 2016, publ: 3 Oct 2016 2016
30. Josh Lieberman, “Ontological Representation of Physical Feature Networks”, 2016, AAG Meeting. 2016
31. Josh Lieberman, “Development and Application of a Linked Data Model for NHD and Related Datasets” poster presentation at CUAHSI 2016 Symposium. 2016
32. Benjamin Lewis, David Strohschein, Paolo Corti, David Smiley. Building an Open Source, Real-Time, Billion Object Spatio-Temporal Search Plaform. International Workshop on Cloud Computing and Big Data. Fairfax, VA. July 2016. http://gis.harvard.edu/publications/building-open-source-real-time-billion-object-spatio-temporal-search-plaform 2016
33. Paolo Corti and Ben Lewis. Implementing an Open Source Spatiotemporal Search Platform for Spatial Data Infrastructures. Open Source Geospatial Research & Education Symposium. Perugia, Italy. October 2016. http://gis.harvard.edu/publications/implementing-open-source-spatiotemporal-search-platform-spatial-data-infrastructures 2016
34. Paolo Corti and Ben Lewis. Status of WorldMap. GeoNode Summit. Rome, Italy. November 11, 2016. http://gis.harvard.edu/publications/status-worldmap-2016 2016
35. Lieberman, J., Bermudez, L., Leinenweber, L., Botts,M., and Liang, S., “Rapid-response sensor networks leveraging open standards and the Internet of Things”, December 2016, American Geophysical Union Fall Meeting, San Francisco 2016
36. Berberoğlu, S, Akın, A. and Clarke, K. C. (2016) Cellular automata modeling approaches to forecast urban growth for Adana, Turkey: A comparative approach. Landscape and Urban Planning. 153, 11–27. doi:10.1016/j.landurbplan.2016.04.017 2016
37. Nittel, Bodum, Clarke, Gould, Raposo, Sharma and Vasardani (2016) CHAPTER 3: Emerging Technological Trends Likely to Affect GIScience in the Next Twenty Years. In Advancing Geographic Information Science: The Past and Next Twenty Years, Editors: Harlan Onsrud, Werner Kuhn. GSDI Association Press / Needham, MA. Available online at: https://spatial.umaine.edu/files/2016/02/AdvancingGIScience.pdf 2016
1. Hu, F., Bowen, M. K., Li, Z., Schnase, J. L., Duffy, D., Lee, T. J., & Yang, C. P. (2015, December). A Columnar Storage Strategy with Spatiotemporal Index for Big Climate Data. In AGU Fall Meeting Abstracts. 2015
2. Yu, M., Piccione, M., Sun, M., Yang, C. P., Bambacus, M., & Seery, B. (2015, December). Develop an Architecture to Enable Effective Information Process in Mitigating Asteroid’s Threat. In AGU Fall Meeting Abstracts. 2015
3. Hu, F., Huang, Q., Scheele, C. J., Yang, C. P., Yu, M., & Liu, K. (2015, December). Rasdaman for Big Spatial Raster Data. In AGU Fall Meeting Abstracts. 2015
4. Yang, C. P., Yu, M., Sun, M., Qin, H., & Robinson, E. (2015, December). DAsHER CD: Developing a Data-Oriented Human-Centric Enterprise Architecture for EarthCube. In AGU Fall Meeting Abstracts. 2015
5. Xia, J., Yang, C., Liu, K., Gui, Z., Li, Z., Huang, Q., & Li, R. (2015). Adopting cloud computing to optimize spatial web portals for better performance to support Digital Earth and other global geospatial initiatives. International Journal of Digital Earth, 8(6), 451-475. 2015
6. Li, Z., Yang, C., Jin, B., Yu, M., Liu, K., Sun, M., & Zhan, M. (2015). Enabling big geoscience data analytics with a cloud-based, MapReduce-enabled and service-oriented workflow framework. PloS one, 10(3), e0116781. 2015
7. Xia, J., Yang, C., Liu, K., Li, Z., Sun, M., & Yu, M. (2015). Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services. International Journal of Geographical Information Science, 29(3), 375-396. 2015
8. Li, M., Liu, H., & Yang, C. (2015). a Real-Time GIS Platform for High Sour Gas Leakage Simulation, Evaluation and Visualization. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2(4), 225. 2015
9. Yang, C., Sun, M., Liu, K., Huang, Q., Li, Z., Gui, Z., … & Lostritto, P. (2015). Contemporary computing technologies for processing big spatiotemporal data. In Space-time integration in geography and GIScience (pp. 327-351). Springer, Dordrecht. 2015
10. Rice, M. T., Curtin, K. M., Pfoser, D., Rice, R. M., Fuhrmann, S., Qin, H., … & Seitz, C. R. (2015). Social moderation and dynamic elements in crowdsourced geospatial data: A report on quality assessment, dynamic extensions and mobile device engagement in the George Mason University Geocrowdsourcing Testbed. George Mason University Fairfax United States. 2015
11. Qin, H., Aburizaiza, A. O., Rice, R. M., Paez, F., & Rice, M. T. (2015). OBSTACLE CHARACTERIZATION IN A GEOCROWDSOURCED ACCESSIBILITY SYSTEM. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2. 2015
12. Bevington-Attardi, D., & Rice, M. (2015). On the map: American cartography in 2015. 2015
13. Fayne, J. V., Fuhrmann, S., Rice, M. T., & Rice, R. M. (2015). Exploring alternative map products to enhance transportation option awareness. Cartography and Geographic Information Science, 42(4), 345-357. 2015
14. Qin, H., Rice, R. M., Fuhrmann, S., Rice, M. T., Curtin, K. M., & Ong, E. (2016). Geocrowdsourcing and accessibility for dynamic environments. GeoJournal, 81(5), 699-716. 2015
15. Aburizaiza, A. O., Rice, M. T., & Goodchild, M. F. (2015). Generating Geospatial Footprints For Geoparsed Text From Crowdsourced Platial Data. In Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings (Vol. 15, No. 1, p. 49). 2015
16. Rice, M. T., Curtin, K. M., Pfoser, D., Rice, R. M., Fuhrmann, S., Qin, H., … & Seitz, C. R. (2015). Social moderation and dynamic elements in crowdsourced geospatial data: A report on quality assessment, dynamic extensions and mobile device engagement in the George Mason University Geocrowdsourcing Testbed. George Mason University Fairfax United States. 2015
17. Fuhrmann, S., Holzbach, M. E., & Black, R. (2015). Developing interactive geospatial holograms for spatial decision-making. Cartography and Geographic Information Science, 42(sup1), 27-33. 2015
18. Fayne, J. V., Fuhrmann, S., Rice, M. T., & Rice, R. M. (2015). Exploring alternative map products to enhance transportation option awareness. Cartography and Geographic Information Science, 42(4), 345-357. 2015
19. Li, S., Sun, D., Goldberg, M., Sjoberg, B., Plumb, E. W., Holloway, E., … & Kreller, M. (2015, December). Application of Snpp/viirs Data in Near Real-Time Supra-Snow Flood Detection. In AGU Fall Meeting Abstracts. 2015
20. Li, S., Sun, D., Goldberg, M. E., & Sjoberg, B. (2015). Object-based automatic terrain shadow removal from SNPP/VIIRS flood maps. International Journal of Remote Sensing, 36(21), 5504-5522. 2015
21. Sun, D., Yu, Y., Yang, H., Fang, L., Liu, Q., & Shi, J. (2015). A case study for intercomparison of land surface temperature retrieved from GOES and MODIS. International Journal of Digital Earth, 8(6), 476-494. 2015
22. Zambotti, G., W. Guan and J. Gest, “Visualizing Human Migration through Space and Time”, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-4/W2, 2015, International Workshop on Spatiotemporal Computing, 13–15 July 2015, Fairfax, Virginia, USA. 2015
23. Lieberman, J. (contributor), Habona, G. (editor), “Use of Semantic Linked Data with RDF for National Map NHD and Gazetteer Data”, 2015, OGC Public Engineering Report 15-066 2015
24. Lieberman, J. (contributor), Fellah, S. (editor), “Linked Data & Semantic Enablement of OGC Services”, 2015, OGC Public Engineering Report 15-054 2015
25. Wendy Guan, Investigating Hadoop for Large Spatiotemporal Processing Tasks, oral presentation in the Paper Session: Spatiotemporal Symposium: Big Data Sciences at AAG 2015 Annual Meeting in April 2015 at Chicago 2015
26. Josh Lieberman, Spatial reification or how can I know the refrigerator is open, position paper accepted to 2015 Vespucci Institute on Spatial Ontologies. 2015
27. Josh Lieberman, “Semantic modeling of Physical Relationships”, Vespucci Institute on Spatial Ontologies, 2015, Bar Harbor. 2015
28. Josh Lieberman, “NHD Ontologies”, 2015, Third CUAHSI Hydroinformatics Conference. 2015
29. Josh Lieberman, Cheatham, M., Varanka, D., “Application of Alignment Methodologies to Spatial Ontologies in the Hydro Domain”, 2015, AGU Fall Meeting. 2015
30. Han, S.Y., Tsou, M-H and Clarke K.C. (2015) Do Global Cities Enable Global Views? Using Twitter to Quantify the Level of Geographical Awareness of U. S. Cities. PLoS ONE 10(7): e0132464. doi:10.1371/journal.pone.0132464 2015
31. Chaudhuri, G. and Clarke, K. C. (2015) On the spatiotemporal dynamics of the coupling between land use and road networks: does political history matter? Environment and Planning B—Planning and Design. 42, 1, 133-156. 2015
32. Wu, H., Li, K., Shi, W., Clarke, K. C., Zhang, J . and Li. H. (2015) A wavelet-based hybrid approach to remove the flicker noise and the white noise from GPS coordinate time series. GPS Solutions 19, 4, 511-523. http://dx.doi.org/10.1007/s10291-014-0412-6 2015
33. Chen, Y-J, McFadden, J. P., Clarke, K. C. and Roberts, D. (2015) Measuring Spatio-temporal Trends in Residential Landscape Irrigation Extent and Rate in Los Angeles, California Using SPOT-5 Satellite Imagery. Water Resources Management. 29, 15, 5749-5763. 2015
34. Li, F., Liang, J., Clarke, K. C., Li, M., Liu, Y. and Huang, Q. (2015) Urban land growth in eastern China: a general analytical framework based on the role of urban micro-agents’ adaptive behavior. Regional Environmental Change, 15, 4, 695-707. 2015
1. Li, Z., Yang, C. P., Schnase, J. L., Duffy, D., & Lee, T. J. (2014, December). Developing a Hadoop-based Middleware for Handling Multi-dimensional NetCDF. In AGU Fall Meeting Abstracts. 2014
2. Sun, M., Jiang, Y., & Yang, C. P. (2014, December). Developing a middleware to support HDF data access in ArcGIS. In AGU Fall Meeting Abstracts. 2014
3. Yu, M., Gui, Z., Yang, C. P., Xia, J., & Chen, S. (2014, December). Investigation on Accelerating Dust Storm Simulation via Domain Decomposition Methods. In AGU Fall Meeting Abstracts. 2014
4. Yang, C. P., Xu, C., Sun, M., & Li, Z. (2014, December). Developing a comprehensive conceptual arhictecture to support Earth sciences. In AGU Fall Meeting Abstracts. 2014
5. Xu, C., & Yang, C. (2014). Introduction to big geospatial data research. Annals of GIS, 20(4), 227-232. 2014
6. Gui, Z., Yang, C., Xia, J., Huang, Q., Liu, K., Li, Z., … & Jin, B. (2014). A service brokering and recommendation mechanism for better selecting cloud services. PloS one, 9(8), e105297. 2014
7. Xia, J., Yang, C., Gui, Z., Liu, K., & Li, Z. (2014). Optimizing an index with spatiotemporal patterns to support GEOSS Clearinghouse. International Journal of Geographical Information Science, 28(7), 1459-1481. 2014
8. Dias, S., Yang, C., Stefanidis, A., & Rice, M. (2014). Mashing up Geographic Information for Emergency Response—An Earthquake Prototype. Journal of Geographic Information System, 6(05), 533. 2014
9. Curtin, K. M., Voicu, G., Rice, M. T., & Stefanidis, A. (2014). A comparative analysis of traveling salesman solutions from geographic information systems. Transactions in GIS, 18(2), 286-301. 2014
10. Rice, M. T., Paez, F. I., Rice, R. M., Ong, E. W., Qin, H., Seitz, C. R., … & Medina, R. M. (2014). Quality assessment and accessibility applications of crowdsourced geospatial data: A report on the development and extension of the George Mason University Geocrowdsourcing Testbed. GEORGE MASON UNIV FAIRFAX VA. 2014
11. Sun, D., & Pinker, R. (2014). Factors contributing to the spatial variability of Satellite estimates of diurnal temperature range in the United States. IEEE Geoscience and Remote Sensing Letters, 11(9), 1524-1528. 2014
12. Huang, C., Chen, X., Li, Y., Yang, H., Sun, D., Le, C., & Xu, L. (2014). Deriving inherent optical property for highly turbid productive inland water from MERIS data by semi-analytical model: A case study in Taihu Lake, China. Aquatic ecosystem health & management, 17(3), 252-260. 2014
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15. Josh Lieberman, Development of National Map ontologies for organization and orchestration of hydrologic observations, talk at AGU Fall Meeting 2014 2014
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17. Clarke, K. C. (2014) Cellular Automata and Agent-Based Models. Chapter 62 in Fischer, M. M. and Nijkamp, P. (eds) Handbook of Regional Science. Springer-Verlag, Berlin Heidelberg. 2014
18. Peiman, R. and Clarke, K. C. (2014) The Impact of Data Time Span on Forecast Accuracy through Calibrating the SLEUTH Urban Growth Model International Journal of Applied Geospatial Research, 5(3), 21-35. 2014
19. Akin, A., Clarke, K, C., and Berberoglu, S. (2014) The impact of historical exclusion on the calibration of the SLEUTH urban growth model . International Journal of Applied Earth Observation and Geoinformation. 27, B, 156-168. 2014
20. Chaudhuri, G. and Clarke, K. C. (2014) Temporal Accuracy in Urban Growth Forecasting: A Study Using the SLEUTH Model Transactions in GIS, 18, 2, 302-320. 2014
21. Lippitt, C. D.; Stow, D. A. and Clarke, K. C. (2014) On the nature of models for time-sensitive remote sensing. International Journal of Remote Sensing. 35, 18, 6815-6841. 2014
22. Clarke, K. C. (2014) GeoComputation in 2061. Chapter 19 in Robert J . Abrahart and Linda M . See (eds) GeoComputation, 2e, CRC Press, 429–446. DOI: 10.1201/b17091-20 2014
1. Yang, C., & Huang, Q. (2013). Spatial cloud computing: a practical approach. CRC Press. 2013
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3. XIA, J., Yang, C., Liu, K., Huang, Q., & Li, Z. (2013, December). Mining User spatiotemporal Behavior in Geospatial Cyberinfrastructure–using GEOSS Clearinghouse as an example. In AGU Fall Meeting Abstracts. 2013
4. Gui, Z., Yang, C., XIA, J., Huang, Q., & YU, M. (2013, December). Accelerating Dust Storm Simulation by Balancing Task Allocation in Parallel Computing Environment. In AGU Fall Meeting Abstracts. 2013
5. Yang, C., Huang, T., Armstrong, E. M., Moroni, D. F., Liu, K., & Gui, Z. (2013, December). Semantically optiMize the dAta seRvice operaTion (SMART) system for better data discovery and access. In AGU Fall Meeting Abstracts. 2013
6. ZHOU, N., XIA, J., Nebert, D., Yang, C., Gui, Z., & Liu, K. (2013, December). Developing a distributed HTML5-based search engine for geospatial resource discovery. In AGU Fall Meeting Abstracts. 2013
7. Yang, C., Li, Z., XIA, J., Liu, K., Gui, Z., & Li, W. (2013, December). A Cloud-enabled Service-oriented Spatial Web Portal for Facilitating Arctic Data Discovery, Integration, and Utilization. In AGU Fall Meeting Abstracts. 2013
8. Nebert, D. D., Huang, Q., & Yang, C. (2013, December). Cloud Computing for Geosciences–GeoCloud for standardized geospatial service platforms. In AGU Fall Meeting Abstracts. 2013
9. Xu, C., Yang, C., & Meyer, C. B. (2013, December). Linking Humans to Data: Designing an Enterprise Architecture for EarthCube. In AGU Fall Meeting Abstracts. 2013
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13. Gui, Z., Yang, C., Xia, J., Li, J., Rezgui, A., Sun, M., … & Fay, D. (2013). A visualization-enhanced graphical user interface for geospatial resource discovery. Annals of GIS, 19(2), 109-121. 2013
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23. Rezgui, A., Malik, Z., Xia, J., Liu, K., & Yang, C. (2013). Data-intensive spatial indexing on the clouds. Procedia Computer Science, 18, 2615-2618. 2013
24. Rice, M. T., Curtin, K. M., Paez, F. I., Seitz, C. R., & Qin, H. (2013). Crowdsourcing to support navigation for the disabled: a report on the motivations, design, creation and assessment of a testbed environment for accessibility (No. AA10-4733). GEORGE MASON UNIV FAIRFAX VA. 2013
25. Li, J., Jiang, Y., Yang, C., Huang, Q., & Rice, M. (2013). Visualizing 3D/4D environmental data using many-core graphics processing units (GPUs) and multi-core central processing units (CPUs). Computers & Geosciences, 59, 78-89. 2013
26. Rice, M. T., Jacobson, R. D., Caldwell, D. R., McDermott, S. D., Paez, F. I., Aburizaiza, A. O., … & Qin, H. (2013). Crowdsourcing techniques for augmenting traditional accessibility maps with transitory obstacle information. Cartography and Geographic Information Science, 40(3), 210-219. 2013
27. Stefanidis, A., Cotnoir, A., Croitoru, A., Crooks, A., Rice, M., & Radzikowski, J. (2013). Demarcating new boundaries: mapping virtual polycentric communities through social media content. Cartography and Geographic Information Science, 40(2), 116-129. 2013
28. Stefanidis, A., Cotnoir, A., Croitoru, A., Crooks, A. T., Radzikowski, J., & Rice, M. (2013). Statehood 2.0: Mapping nation-states and their satellite communities through social media content. Cartography and Geographic Information Science, 40(2), 116-129. 2013
29. Fuhrmann, S., Huynh, N. T., & Scholz, R. (2013). Comparing fear of crime and crime statistics on a university campus. In Crime Modeling and Mapping Using Geospatial Technologies (pp. 319-337). Springer, Dordrecht. 2013
30. Sun, D., Yu, Y., Fang, L., & Liu, Y. (2013). Toward an operational land surface temperature algorithm for GOES. Journal of Applied Meteorology and Climatology, 52(9), 1974-1986. 2013
31. Li, S., Sun, D., & Yu, Y. (2013). Automatic cloud-shadow removal from flood/standing water maps using MSG/SEVIRI imagery. International journal of remote sensing, 34(15), 5487-5502. 2013
32. Li, S., Sun, D., Goldberg, M., & Stefanidis, A. (2013). Derivation of 30-m-resolution water maps from TERRA/MODIS and SRTM. Remote Sensing of Environment, 134, 417-430. 2013
33. Sun, D., Yu, Y., Yang, H., Liu, Q., & Shi, J. (2013). Comparison between GOES-East and-West for land surface temperature retrieval from a dual-window algorithm. IEEE Geoscience and Remote Sensing Letters, 10(3), 578-582. 2013
34. Liu, Y., Yu, Y., Sun, D., Tarpley, D., & Fang, L. (2013). Effect of different MODIS emissivity products on land-surface temperature retrieval from GOES series. IEEE Geoscience and Remote Sensing Letters, 10(3), 510-514. 2013
35. Li, S., Sun, D., Yu, Y., Csiszar, I., Stefanidis, A., & Goldberg, M. D. (2013). A new short-wave infrared (SWIR) method for quantitative water fraction derivation and evaluation with EOS/MODIS and Landsat/TM data. IEEE Transactions on Geoscience and Remote Sensing, 51(3), 1852-1862. 2013
36. Zhang, R., Sun, D., Li, S., & Yu, Y. (2013). A stepwise cloud shadow detection approach combining geometry determination and SVM classification for MODIS data. International journal of remote sensing, 34(1), 211-226. 2013
37. Xia J., Sun, D., & Yu, Y. (2013). Land Surface Temperature (LST) Retrieval from GOES Satellite Observations. In Satellite-based Applications on Climate Change (pp. 289-334). Springer, Dordrecht. 2013