A Study on the Determination Methods of Monitoring Point for Inundation Damage in Urban Area Using UAV and Hydrological Modeling

Abstract

Recently, unmanned aerial vehicles (UAVs) have been used in various fields, such as military, logistics, transportation, construction, and agriculture, making it possible to apply the limited activities of humans to various and wide ranges. In addition, UAVs have been utilized to construct topographic data that are more precise than existing satellite images or cadastral maps. In this study, a monitoring point for preventing flood damage in an urban area was selected using a UAV. In addition, the topographic data were constructed using a UAV, and the flow of rainwater was examined using the watershed analysis in an urban area. An orthomosaic, a digital surface model (DSM), and a three-dimensional (3D) model were constructed for the topographic data, and a precision of 0.051 m based on the root mean square error (RMSE) was achieved through the observation of ground control points (GCPs). On the other hand, for the watershed analysis in the urban area, the point in which the flow of rainwater converged was analyzed by adjusting the thresholds. A monitoring point for preventing flood damage was proposed by examining the topographic characteristics of the target area related to the inflow of rainwater.

Unmanned Aerial Vehicle (UAV) and Spectral Datasets in South Africa for Precision Agriculture

“…A standard data processing procedure was followed to pre-process and generate surface reflectance images from the UAV system by using Pix4D mapper software version 4.8.4 [16]. The software has been widely used by researchers to pre-process UAV images, for example, Su et al [17]; Dimyati et al [18]; Song et al [19]; and Chaudhry et al [20]. An Analytical Spectral Device (ASD) Fieldspec spectroradiometer instrument was also used to collect spectral reflectance data of different crops in fields.…”

Developing a model for unmanned aerial vehicle with fixed-wing using 3D-map exploring rapidly random tree technique

“…They are appealing for a variety of applications due to their speedy mapping and surveillance of broad areas. In emergency situations like avalanches [1], earthquakes [2], floods [3], creating a map in real-time are crucial for first responders. It may also enable other aerial vehicles (UAVs) to localize themselves without the need of global positioning systems [1], [4].…”