Peer-Reviewed Publications
NEW! 22) Pettyjohn, S., Sirianni, H., Sirianni, M.J., Burchi, B.M.J, Gittman, R.K. (2025) Seasonally structured drone data for shoreline change around a hybrid living shoreline project. Scientific Data. https://doi.org/10.1038/s41597-025-06310-z
NEW! 21) Tso, G.L., Narayan, S., Geesin, M.E., Sirianni, H., Reidenbach, M.A., Figlus, J., Gittman, R.K. (2025) Oyster recruitment and growth increases wave attenuation by breakwaters. Scientific Reports. https://doi.org/10.1038/s41598-025-29349-9
NEW! 20) Xu, Y., Sirianni, H., Wade, E., Hoover, F.-A., Mukherji, A., & Narayan, S. (2025). A global systematic review of socio-economic impact assessments of high-tide flooding. Frontiers in Human Dynamics, 7. https://doi.org/10.3389/fhumd.2025.1644814
NEW! 19) Geesin, M.E., Tso, G.L., Sirianni, H., Narayan, S., Baillie, C.J., Malali, P.D., Puckett, B.J., Ridge, J.T., Gittman, R.K. (2025). Assessing the effects of engineered oyster reefs on shoreline change using drones. Frontiers in Ecology and Evolution. https://doi.org/10.3389/fevo.2025.1616227
18) Sirianni, H., Montz, B., Pettyjohn, S. (2024). Bluff retreat in North Carolina: harnessing resident and land use professional surveys alongside LiDAR remote sensing and GIS analysis for coastal management insights. Anthropocene Coasts. https://doi.org/10.1007/s44218-024-00043-z
17) Sirianni, H., Richter, J., Sirianni, M., Pettyjohn, S. (2024). Shoreline classification maps and ground truth data for the Neuse River Estuary, North Carolina. Scientific Data, 11, 103. https://doi.org/10.1038/s41597-024-02954-5
16) Heffentrager, M., Wasklewicz, T., Sirianni, H., Gares, P., Richter, J. (2023). Reproducibility in coastal physical laboratory experiments: washover deposits and channel morphology. Journal of Coastal Research. https://doi.org/10.2112/JCOASTRES-D-22-00092.1
15) Sirianni, H., Sirianni, M.J., Mallinson, D.J., Lindquist, N.L., Valdes-Weaver, L.M., Moody, M., Henry, B., Coli, C., Rubino, B., Peñalver, M.M., Henne, C. (2022). Quantifying recent storm-induced change on a small fetch-limited barrier island along North Carolina’s Crystal Coast using aerial imagery and LiDAR. Coasts, 2, 302–322. https://doi.org/10.3390/coasts2040015
14) Guan, S., Huang, Y., Sirianni, H., Wang, G., Zhu, Z. (2022). An error prediction model for construction bulk measurements using a customized low-cost UAS-LiDAR system. Drones, 9(7), 178. https://doi.org/10.3390/drones6070178.
13) Guan, S., Sirianni, H., Wang, W., Zhu, Z. (2022). sUAS monitoring of coastal environments: a review of best practices from field to lab. Drones, 6(6), 142. https://doi.org/10.3390/drones6060142.
12) Cooper, H., Wasklewicz, T., Zhu, Z., Lewis, W., LeCompte, K., Heffentrager, M., Smaby, R., Brady, J., Howard, R. (2021). Evaluating the ability of multi-sensor techniques to capture topographic complexity. Sensors, 21(6). https://doi.org/10.3390/s21062105.
11) Cooper, H., Zhang, C. (2020). Vulnerability analysis of coastal Everglades to sea-level rise using SLAMM. In: Weng, Q. (Ed.), Multi-sensor System Applications in the Everglades Ecosystem. CRC Press, Taylor & Francis Group, pp. 259–272 (Book Chapter).
10) Cooper, H., Zhang, C. (2020). Enhancing LiDAR data integrity in the coastal Everglades. In: Weng, Q. (Ed.), Multi-sensor System Applications in the Everglades Ecosystem. CRC Press, Taylor & Francis Group, pp. 273–288 (Book Chapter).
9) Cooper, H., Zhang, C., Davis, S., Troxler, T. (2019). Object-based correction of LiDAR DEMs using RTK-GPS data and machine learning modeling in the coastal Everglades. Environmental Modelling & Software, 112, 179–191. https://doi.org/10.1016/j.envsoft.2018.11.003
8) Zhang, C., Denka, S., Cooper, H., Mishra, D. (2018). Quantification of sawgrass marsh aboveground biomass in the coastal Everglades using object-based ensemble analysis and Landsat data. Remote Sensing of Environment, 204, 366–379. https://doi.org/10.1016/j.rse.2017.10.018.
7) Zhang, C., Selch, D., Cooper, H. (2015). A framework to combine three remotely sensed data sources for vegetation mapping in central Florida Everglades. Wetlands, 36, 201–213. https://home.fau.edu/czhang3/web/2016%20Zhang%20et%20al_Wetlands.pdf
6) Cooper, H., Zhang, C., Selch, D. (2015). Incorporating uncertainty of groundwater modeling in sea-level rise assessment: a case study in South Florida. Climatic Change, 129(1–2), 281–294. https://doi.org/10.1007/s10584-015-1334-1.
5) Zhang, C., Cooper, H., Selch, D., et al. (2014). Mapping urban land covers using object-based multiple endmember spectral mixture analysis. Remote Sensing Letters, 5(6), 521–529. https://www.tandfonline.com/doi/abs/10.1080/2150704X.2014.930197.
4) Cooper, H., Chen, Q. (2013). Incorporating uncertainty of future sea-level rise estimates into vulnerability assessment: a case study in Kahului, Maui. Climatic Change, 121(4), 635–647. https://doi.org/10.1007/s10584-013-0987-x.
3) Zhang, C., Selch, D., Roberts, C., Xie, X., Cooper, H., Chen, G. (2013). Object-based benthic habitat mapping in the Florida Keys from hyperspectral imagery. Estuarine, Coastal and Shelf Science, 134, 88–97. https://doi.org/10.1016/j.ecss.2013.09.018.
2) Cooper, H., Fletcher, C.H., Chen, Q., Barbee, M.M. (2013). Sea-level rise vulnerability mapping for adaptation decisions using LiDAR DEMs. Progress in Physical Geography, 37(6), 743–764. https://doi.org/10.1177/0309133313496835.
1) Cooper, H., Chen, Q., Fletcher, C.H., Barbee, M.M. (2012). Vulnerability assessment due to sea-level rise in Maui, Hawai‘i using LiDAR remote sensing and GIS. Climatic Change, 116(3–4), 547–563. https://www2.hawaii.edu/~qichen/cv/Cooper.pdf.
Publications (Non-Refereed)
4) Cooper, H. (2016, November 18). 5 Ways to Keep Manatees Safe in South Florida this Manatee Season. The Palm Beacher. Available at: https://www.palmbeachermagazine.com/noteworthy/5-ways-keep-manatees-safe-south-florida-manatee-season (Magazine Article)
3) Cooper, H. Sea-Level Rise Vulnerability Mapping of South Florida. In: Esri Map Book Volume 31. ESRI Press, 2016. pp 68-69. (Cartographic Products)
2) Selch, D., Zhang, C., Oleinik, A., and Cooper, H. Hyperspectral Signatures of Sand Samples. In: The ArcGIS Imagery Book: New View. New Vision. Brown C and Harder C, editors. Esri Press, 2016. pp 67. (Cartographic Products)
1) Markwith, S., Cooper, H., Kamerosky, A., Kunwar, R., Thibaut, C., Mulcan, M., and So, Y. (2014). Pre-restoration Assessment of Fish and Invertebrate Communities at the Grassy Flats Restoration Area, Lake Worth Lagoon, Florida. Submitted to the Department of Environmental Resources Management, Palm Beach County, FL. (Report)
