Building a High-Precision 2D Hydrodynamic Flood Model Using UAV Photogrammetry and Sensor Network Monitoring
نویسندگان
چکیده
منابع مشابه
UAV-based photogrammetry: monitoring of a building zone
The use of small-size unmanned aerial vehicles (UAV) for civil applications in many different fields such as archaeology, disaster monitoring, aerial surveying or mapping has significantly increased in recent years. The high flexibility and the low cost per acquired information compared to classical systems – terrestrial or aerial – offer a high variety of different applications. This paper add...
متن کاملWireless Sensor Network Using Flood Monitoring
Abstract— Wireless Sensor Network is architecture with a variety of potential application. Wireless sensor network have emerged as an important application of the ad-hoc networks paradigm, such as for monitoring physical environment. These sensor networks have limitations of system resources like battery power, communication range and processing capability. There is a crucial link between safet...
متن کاملBuilding Risk Monitoring Using Wireless Sensor Network
Buildings are subjected to natural hazards, such as earthquakes and winds, and man-made hazards, such as fires and crimes, during their long-term use. To mitigate these hazards, monitoring these risks by sensing certain types of physical values is necessary. Recently, a smart sensor based on the Berkeley Mote platform was introduced, and an application to the next generation of structural healt...
متن کاملFlood hazard zones using 2d hydrodynamic modeling and remote sensing approaches
Increasing frequency and severity of flooding demands identification of flood hazard zones in Kalilangan, Bukidnon in response to the echoing need of better disaster preparedness via enhancing the understanding and awareness of the public on flood characteristics by integrating the use of two-dimensional hydrodynamic modeling and remote sensing. Flood simulation was carried out in a two-dimensi...
متن کاملUAV attitude Sensor Fault Detection Based On Fuzzy Logic and by Neural Network Model Identification
Fault detection has always been important in aviation systems to prevent many accidents. This process is possible in different ways. In this paper, we first identify the longitudinal axis plane model using neural network approach. Then based on the obtained model and using fuzzy logic, the aircraft status sensor fault detection unit was designed. The simulation results show that the fault detec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Water
سال: 2017
ISSN: 2073-4441
DOI: 10.3390/w9110861