Assessing the Performance of Green Stormwater Infrastructure for Climate Adaptation and Coastal Resilience in the City of Cape Canaveral, Florida
Description
This archive contains drone-based remote sensing dataset collected during the design, construction, and early performance phase of the Veterans Memorial Park “Smart” Rain Garden in Cape Canaveral, Florida, as funded by the National Science Foundation's CIVIC Innovation Challenge 2.0 program (NSF Grant Award Number 2321162). The dataset includes high-resolution LiDAR point clouds, orthomosaic imagery, and digital elevation models (DEMs) derived from approximately 10,000 aerial photographs acquired between 2023 and 2025 in the City of Cape Canaveral. These products capture fine-scale changes in site topography and vegetation associated with the conversion of a dry retention area into a functioning green stormwater infrastructure (GSI) rain garden system at the City of Cape Canaveral's Veterans Memorial Park. The imagery provides a detailed temporal record of construction progress, vegetation establishment, and erosion dynamics at the site. The LiDAR data achieved ~2 cm vertical accuracy, enabling detailed hydrologic modeling of flow pathways and runoff accumulation within the rain garden site and nearby areas of the stormwater drainage basin. Together, these datasets support research on stormwater infiltration, flood mitigation, and urban ecosystem restoration, and are intended as a transferable resource for GSI planning and performance evaluation in other coastal communities.
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Steps to reproduce
The data were collected by remote sensing with uncrewed aircraft systems (UAS). Sensors included LiDAR and RGB cameras. Point clouds are unclassified and classified for Ground. RGB images are represented by orthomosaics.
Institutions
Departments
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Funding
U.S. National Science Foundation
2321162
Additional Metadata for Embry-Riddle
| Campus | Daytona Beach |
| College | Aviation |
| Language | English |
| Department | Aeronautical Science |
| Keywords | urban drainage, UAS, LIDAR, orthomosaic, DEM, green infrastructure |