| Quantification of sawgrass marsh aboveground biomass in the coastal Everglades using object-based ensemble analysis and Landsat data C Zhang, S Denka, H Cooper, DR Mishra Remote Sensing of Environment 204, 366-379, 2018 | 117 | 2018 |
| Object-based benthic habitat mapping in the Florida Keys from hyperspectral imagery C Zhang, D Selch, Z Xie, C Roberts, H Cooper, G Chen Estuarine, Coastal and Shelf Science 134, 88-97, 2013 | 101 | 2013 |
| Sea-level rise vulnerability mapping for adaptation decisions using LiDAR DEMs HM Cooper, CH Fletcher, Q Chen, MM Barbee Progress in Physical Geography 37 (6), 745-766, 2013 | 82 | 2013 |
| Assessing vulnerability due to sea-level rise in Maui, Hawai‘i using LiDAR remote sensing and GIS HM Cooper, Q Chen, CH Fletcher, MM Barbee Climatic Change 116, 547-563, 2013 | 81 | 2013 |
| Object-based correction of LiDAR DEMs using RTK-GPS data and machine learning modeling in the coastal Everglades HM Cooper, C Zhang, SE Davis, TG Troxler Environmental Modelling & Software 112, 179-191, 2019 | 64 | 2019 |
| Incorporating uncertainty of groundwater modeling in sea-level rise assessment: a case study in South Florida HM Cooper, C Zhang, D Selch Climatic Change 129, 281-294, 2015 | 41 | 2015 |
| Incorporating uncertainty of future sea-level rise estimates into vulnerability assessment: A case study in Kahului, Maui HM Cooper, Q Chen Climatic Change 121, 635-647, 2013 | 37 | 2013 |
| A framework to combine three remotely sensed data sources for vegetation mapping in the central Florida Everglades C Zhang, D Selch, H Cooper Wetlands 36, 201-213, 2016 | 32 | 2016 |
| Mapping urban land cover types using object-based multiple endmember spectral mixture analysis C Zhang, H Cooper, D Selch, X Meng, F Qiu, SW Myint, C Roberts, Z Xie Remote sensing letters 5 (6), 521-529, 2014 | 29 | 2014 |
| Evaluating the Ability of Multi-Sensor Techniques to Capture Topographic Complexity HM Cooper, T Wasklewicz, Z Zhu, W Lewis, K LeCompte, M Heffentrager, ... Sensors 21 (6), 2105, 2021 | 11 | 2021 |
| sUAS Monitoring of Coastal Environments: A Review of Best Practices from Field to Lab S Guan, H Sirianni, G Wang, Z Zhu Drones 6 (6), 142, 2022 | 9 | 2022 |
| An Error Prediction Model for Construction Bulk Measurements Using a Customized Low-Cost UAS-LIDAR System S Guan, Y Huang, G Wang, H Sirianni, Z Zhu Drones 6 (7), 178, 2022 | 7 | 2022 |
| Quantifying Recent Storm-Induced Change on a Small Fetch-Limited Barrier Island along North Carolina’s Crystal Coast Using Aerial Imagery and LiDAR H Sirianni, MJ Sirianni, DJ Mallinson, NL Lindquist, LM Valdes-Weaver, ... Coasts 2 (4), 302-322, 2022 | 3 | 2022 |
| Shoreline classification maps and ground truth data for the Neuse River Estuary, North Carolina H Sirianni, J Richter, MJ Sirianni, S Pettyjohn Scientific Data 11 (1), 103, 2024 | 2 | 2024 |
| Vulnerability Analysis of Coastal Everglades to Sea Level Rise Using SLAMM H Cooper, C Zhang Multi-Sensor System Applications in the Everglades Ecosystem, 259-272, 2020 | 2 | 2020 |
| Bluff retreat in North Carolina: harnessing resident and land use professional surveys alongside LiDAR remote sensing and GIS analysis for coastal management insights H Sirianni, B Montz, S Pettyjohn Anthropocene Coasts 7 (1), 11, 2024 | | 2024 |
| Quantifying Storm-Induced Bluff Erosion Using Aerial Imagery and LiDAR: A Case Study of the Neuse River Estuary, North Carolina, USA S Pettyjohn, H Sirianni AGU23, 2023 | | 2023 |
| Reproducibility in Coastal Physical Laboratory Experiments: Washover Deposits and Channel Morphology ML Heffentrager, T Wasklewicz, H Sirianni, P Gares, L Kernstine, J Richter Journal of Coastal Research 39 (5), 823-835, 2023 | | 2023 |
| Shoreline Mapping in the Neuse River Estuary, NC using Object-Based Ensemble Analysis, Aerial Imagery, and LiDAR J Richter, H Cooper AGU Fall Meeting Abstracts 2021, OS51A-08, 2021 | | 2021 |
| Enhancing Lidar Data Integrity in the Coastal Everglades H Cooper, C Zhang Multi-sensor System Applications in the Everglades Ecosystem, 273-288, 2020 | | 2020 |
Caiyun ZhangFlorida Atlantic UniversityDirección de correo verificada de fau.edu