Two case studies and gaps analysis of flood assessment for emergency management with small unmanned aerial systems

2016 ◽  
Author(s):  
Robin Murphy ◽  
Jan Dufek ◽  
Traci Sarmiento ◽  
Grant Wilde ◽  
Xuesu Xiao ◽  
...  
Keyword(s):  
Emergency Management ◽  
Case Studies ◽  
Unmanned Aerial Systems ◽  
Aerial Systems

Environmental Reviews and Case Studies: Bringing Unmanned Aerial Systems Closer to the Environment

2015 ◽  
Vol 17 (3) ◽  
pp. 188-200 ◽  
Author(s):  
Carrick Detweiler ◽  
John-Paul Ore ◽  
David Anthony ◽  
Sebastian Elbaum ◽  
Amy Burgin ◽  
...  
Keyword(s):  
Case Studies ◽  
Unmanned Aerial Systems ◽  
Aerial Systems

Coastal Management Using UAS and High-Resolution Satellite Images for Touristic Areas

2019 ◽  
Vol 10 (1) ◽  
pp. 54-72 ◽  
Author(s):  
Apostolos Papakonstantinou ◽  
Michaela Doukari ◽  
Panagiotis Stamatis ◽  
Konstantinos Topouzelis
Keyword(s):  
High Resolution ◽  
Case Studies ◽  
Satellite Images ◽  
Unmanned Aerial Systems ◽  
Shoreline Evolution ◽  
Coastline Change ◽  
Coastline Evolution ◽  
High Resolution Satellite Images ◽  
Two Factors ◽  
Aerial Systems

Coastline change and human activities in shoreline zones are two factors indicating the vulnerability and the quality of a coastal environment. In this article, coastline evolution and spatiotemporal differences on coastal touristic infrastructure are presented as two case studies. Both case studies have increasing interest among scientists monitoring sensitive coastal areas, and for stakeholders evolved in the tourist industry. The study is twofold: monitors the shoreline evolution and examines how the shoreline behavior affects the seasonal anthropogenic touristic infrastructure. Shoreline detection methodology integrates unmanned aerial systems (UAS) or high-resolution satellite images for data acquisition, and geographic object-based image analysis (GEOBIA) for the shoreline recognition and the infrastructure change detection. The methodology used produced robust results in the aspect of mapping and detecting coastline changes, coastal erosion and the human pressure due to specific activities.

LIGHTER-THAN-AIR (LTA) UNMANNED AERIAL SYSTEM (UAS) CARRIER CONCEPT FOR SURVAILLANCE AND DISASTER MANAGEMENT

2019 ◽  
Vol 3 ◽  
pp. 1255
Author(s):  
Ahmad Salahuddin Mohd Harithuddin ◽  
Mohd Fazri Sedan ◽  
Syaril Azrad Md Ali ◽  
Shattri Mansor ◽  
Hamid Reza Jifroudi ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Disaster Management ◽  
Unmanned Aerial Systems ◽  
Unmanned Aerial System ◽  
Border Control ◽  
Aerial Vehicles ◽  
Operational Safety ◽  
In Situ Methods ◽  
Aerial Systems

Unmanned aerial systems (UAS) has many advantages in the fields of SURVAILLANCE and disaster management compared to space-borne observation, manned missions and in situ methods. The reasons include cost effectiveness, operational safety, and mission efficiency. This has in turn underlined the importance of UAS technology and highlighted a growing need in a more robust and efficient unmanned aerial vehicles to serve specific needs in SURVAILLANCE and disaster management. This paper first gives an overview on the framework for SURVAILLANCE particularly in applications of border control and disaster management and lists several phases of SURVAILLANCE and service descriptions. Based on this overview and SURVAILLANCE phases descriptions, we show the areas and services in which UAS can have significant advantage over traditional methods.

Beach and dune impacts due to Hurricane Florence in Dare County, North Carolina

Shore & Beach ◽  
2019 ◽  
pp. 44-49 ◽  
Author(s):  
Elizabeth Sciaudone ◽  
Liliana Velasquez-Montoya
Keyword(s):  
North Carolina ◽  
Prior Knowledge ◽  
Unmanned Aerial Systems ◽  
State University ◽  
National Wildlife Refuge ◽  
Sediment Samples ◽  
Wildlife Refuge ◽  
Full Report ◽  
Aerial Systems

Less than two weeks after Hurricane Florence made landfall in North Carolina (NC), a team of researchers from NC State University traveled to Dare County to investigate the storm’s effects on beaches and dunes. Using available post-storm imagery and prior knowledge of vulnerabilities in the system, the team identified several locations to visit in the towns of Kitty Hawk, Nags Head, Rodanthe, Buxton, and Hatteras, as well as a number of locations within the Pea Island National Wildlife Refuge (Figure 1). Data collected included topographic profiles, still imagery and video from unmanned aerial systems, sediment samples, and geo-located photography. This Coastal Observations piece presents some of the data and photos collected; the full report is available online (Sciaudone et al. 2019), and data collected will be made available to interested researchers upon request.

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