• Title/Summary/Keyword: Disaster management with drone

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A Study on Problems and Improvement of Disaster Management Activities Using Drones (드론을 활용한 재난관리활용의 문제점 개선에 관한 연구)

  • Cho, Han-kwang;Kang, Hwi-jin;Yang, Ok-hee
    • Journal of Korean Society of Disaster and Security
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    • v.10 no.1
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    • pp.67-74
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    • 2017
  • Drone technology has been used in various fields including personal hobby, pesticide application and shipping etc. However, only few drone technologies are used in restricted fields such as transportation of alimony goods and utilization of video because of the limited utilization aspect of disaster management field. Especially, disaster specialists' the lack of understanding of the drones seems to increase the difficulty of activating drone technology in disaster management. The theme of the thesis aims to share outline of drones' control method and education plan. This project also analysis the reasons why drone has not been used in disaster management with the fact that drone can be a vital part of emergency management. We propose improved application plan to use drone technology and future development direction in disaster management by deriving problems in terms of institutional aspects(regulation and education) and sensor-based application problems camera, thermal camera, infrared sensor, RFID.

A Study on the Use of Drones for Disaster Damage Investigation in Mountainous Terrain (산악지형에서의 재난피해조사를 위한 드론 맵핑 활용방안 연구)

  • Shin, Dongyoon;Kim, Dajinsol;Kim, Seongsam;Han, Youkyung;Nho, Hyunju
    • Korean Journal of Remote Sensing
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    • v.36 no.5_4
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    • pp.1209-1220
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    • 2020
  • In the case of forest areas, the installation of ground control points (GCPs) and the selection of terrain features, which are one of the unmanned aerial photogrammetry work process, are limited compared to urban areas, and safety problems arise due to non-visible flight due to high forest. To compensate for this problem, the drone equipped with a real time kinematic (RTK) sensor that corrects the position of the drone in real time, and a 3D flight method that fly based on terrain information are being developed. This study suggests to present a method for investigating damage using drones in forest areas. Position accuracy evaluation was performed for three methods: 1) drone mapping through GCP measurement (normal mapping), 2) drone mapping based on topographic data (3D flight mapping), 3) drone mapping using RTK drone (RTK mapping), and all showed an accuracy within 2 cm in the horizontal and within 13 cm in the vertical position. After evaluating the position accuracy, the volume of the landslide area was calculated and the volume values were compared, and all showed similar values. Through this study, the possibility of utilizing 3D flight mapping and RTK mapping in forest areas was confirmed. In the future, it is expected that more effective damage investigations can be conducted if the three methods are appropriately used according to the conditions of area of the disaster.

Utilization of Drone LiDAR for Field Investigation of Facility Collapse Accident (붕괴사고 현장조사를 위한 드론 LiDAR 활용)

  • Yonghan Jung ;Eontaek Lim ;Jaewook Suk;Seul Koo;Seongsam Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.849-858
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    • 2023
  • Investigating disaster sites such as earthquakes and landslides involves significant risks due to potential secondary disasters like facility collapse. In situations where direct access is challenging, there is a need to develop methods for safely acquiring high-precision 3D disaster information using light detection and ranging (LiDAR) equipped drone survey systems. In this study, the feasibility of using drone LiDAR in disaster scenarios was examined, focusing on the collapse accident at Jeongja Bridge in Bundang-gu, Seongnam City, in April 2023. High-density point clouds for the accident bridge were collected, and the bridge's 3D terrain information was reconstructed and compared to the measurement performance of 10 ground control points. The results showed horizontal and vertical root mean square error values of 0.032 m and 0.055 m, respectively. Additionally, when compared to a point cloud generated using ground LiDAR for the same target area, a vertical difference of approximately 0.08 m was observed, but overall shapes showed minimal discrepancies. Moreover, in terms of overall data acquisition and processing time, drone LiDAR was found to be more efficient than ground LiDAR. Therefore, the use of drone LiDAR in disaster sites with significant risks allows for safe and rapid onsite investigations.

A Study on System Integration between Community Mapping and Drone Mapping for Disaster Safety Management (재난안전 관리를 위한 커뮤니티매핑과 드론매핑의 연계방안 연구)

  • Lee, JongHoon;Pyo, KyungSoo;Kim, SeongSam
    • Korean Journal of Remote Sensing
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    • v.35 no.5_2
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    • pp.873-881
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    • 2019
  • There are limitations to the manager's investigation of all damage sites and establishment of management plan in terms of manpower and cost. Community mapping can be used to overcome these problems with the information. However, it is difficult to make decisions when multiple information are registered in multiple areas of damage. Because community mapping information are registered only with pictures and simple contents, it is so difficult for the manager to clearly understand the site situation. This study suggests a methodology to support decision-making processes during disaster management through system integration between the community mapping and the drone mapping. By applying the proposed method, decision makers can make a timely judgment effectively on the damage situation. It is expected that the proposed method will save time, manpower, and cost in the recovery phase.

Accuracy Assessment of Environmental Damage Range Calculation Using Drone Sensing Data and Vegetation Index (드론센싱자료와 식생지수를 활용한 환경피해범위 산출 정확도 평가)

  • Eontaek Lim ;Yonghan Jung ;Seongsam Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.837-847
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    • 2023
  • In this study, we explored a method for assessing the extent of damage caused by chemical substances at an accident site through the use of a vegetation index. Data collection involved the deployment of two different drone types, and the damaged area was determined using photogrammetry technology from the 3D point cloud data. To create a vegetation index image, we utilized spectral band data from a multi-spectral sensor to generate an orthoimage. Subsequently, we conducted statistical analyses of the accident site with respect to the damaged area using a predefined threshold value. The Kappa values for the vegetation index, based on the near-infrared band and the green band, were found to be 0.79 and 0.76, respectively. These results suggest that the vegetation index-based approach for analyzing damage areas can be effectively applied in investigations of chemical accidents.

Applicability Assessment of Disaster Rapid Mapping: Focused on Fusion of Multi-sensing Data Derived from UAVs and Disaster Investigation Vehicle (재난조사 특수차량과 드론의 다중센서 자료융합을 통한 재난 긴급 맵핑의 활용성 평가)

  • Kim, Seongsam;Park, Jesung;Shin, Dongyoon;Yoo, Suhong;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.35 no.5_2
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    • pp.841-850
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    • 2019
  • The purpose of this study is to strengthen the capability of rapid mapping for disaster through improving the positioning accuracy of mapping and fusion of multi-sensing point cloud data derived from Unmanned Aerial Vehicles (UAVs) and disaster investigation vehicle. The positioning accuracy was evaluated for two procedures of drone mapping with Agisoft PhotoScan: 1) general geo-referencing by self-calibration, 2) proposed geo-referencing with optimized camera model by using fixed accurate Interior Orientation Parameters (IOPs) derived from indoor camera calibration test and bundle adjustment. The analysis result of positioning accuracy showed that positioning RMS error was improved 2~3 m to 0.11~0.28 m in horizontal and 2.85 m to 0.45 m in vertical accuracy, respectively. In addition, proposed data fusion approach of multi-sensing point cloud with the constraints of the height showed that the point matching error was greatly reduced under about 0.07 m. Accordingly, our proposed data fusion approach will enable us to generate effectively and timelinessly ortho-imagery and high-resolution three dimensional geographic data for national disaster management in the future.

Exploratory Research of Possibilities and Limiatation of Drone Journalism (재난재해 대응수단으로 드론저널리즘의 가능성과 한계에 관한 탐색적 연구)

  • Cho, Hang-Min
    • Journal of Digital Convergence
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    • v.16 no.8
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    • pp.71-79
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    • 2018
  • This study discussed the meaning of a drone, and especially drone journalism and legal and ethical issues around that, at an introductory dimension, which is used in various social bases, but is still just an academic discussion at the beginning stage. As a methodology, content analysis was used. It seems that drone journalism has high diffusibility as a technology with high 'relative advantage', 'compatibility', 'trial ability' and 'observability' and low 'complexity' in terms of the diffusion of innovation theory. However, it will be very likely that controversies will be raised, such as safety issue due to collision and crash, a dispute over violation of privacy that may seriously infringe privacy like individual portrait rights and a controversy about the accuracy and source of information as drone filming low price and ease of use. Suggest solutions to legal and ethical issues based on existing research. Technical stability is required. Also, it is necessary to change the awareness of journalists about the drones coverage and to educate ethics, and it is necessary to establish social public opinion on issues such as privacy violation and establish system and legal measures through it. Future research is expected to carry out empirical research including journalists and public awareness surveys.

A Study on the Density Analysis of Multi-objects Using Drone Imaging (드론 영상을 활용한 다중객체의 밀집도 분석 연구)

  • WonSeok Jang;HyunSu Kim;JinMan Park;MiSeon Han;SeongChae Baek;JeJin Park
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.2
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    • pp.69-78
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    • 2024
  • Recently, the use of CCTV to prevent crowd accidents has been promoted, but research is needed to compensate for the spatial limitations of CCTV. In this study, pedestrian density was measured using drone footage, and based on a review of existing literature, a threshold of 6.7 people/m2 was selected as the cutoff risk level for crowd accidents. In addition, we conducted a preliminary study to determine drone parameters and found that the pedestrian recognition rate was high at a drone altitude of 20 meters and an angle of 60°. Based on a previous study, we selected a target area with a high concentration of pedestrians and measured pedestrian density, which was found to be 0.27~0.30 per m2. The study shows it is possible to measure risk levels by determining pedestrian densities in target areas using drone images. We believe drone surveillance will be utilized for crowd safety management in the near future.

Application and Analysis of Remote Sensing Data for Disaster Management in Korea - Focused on Managing Drought of Reservoir Based on Remote Sensing - (국가 재난 관리를 위한 원격탐사 자료 분석 및 활용 - 원격탐사기반 저수지 가뭄 관리를 중심으로 -)

  • Kim, Seongsam;Lee, Junwoo;Koo, Seul;Kim, Yongmin
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1749-1760
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    • 2022
  • In modern society, human and social damages caused by natural disasters and frequent disaster accidents have been increased year by year. Prompt access to dangerous disaster sites that are inaccessible or inaccessible using state-of-the-art Earth observation equipment such as satellites, drones, and survey robots, and timely collection and analysis of meaningful disaster information. It can play an important role in protecting people's property and life throughout the entire disaster management cycle, such as responding to disaster sites and establishing mid-to long-term recovery plans. This special issue introduces the National Disaster Management Research Institute (NDMI)'s disaster management technology that utilizes various Earth observation platforms, such as mobile survey vehicles equipped with close-range disaster site survey sensors, drones, and survey robots, as well as satellite technology, which is a tool of remote earth observation. Major research achievements include detection of damage from water disasters using Google Earth Engine, mid- and long-term time series observation, detection of reservoir water bodies using Sentinel-1 Synthetic Aperture Radar (SAR) images and artificial intelligence, analysis of resident movement patterns in case of forest fire disasters, and data analysis of disaster safety research. Efficient integrated management and utilization plan research results are summarized. In addition, research results on scientific investigation activities on the causes of disasters using drones and survey robots during the investigation of inaccessible and dangerous disaster sites were described.

Safety Management of Steel Pipe Scaffold using UAV (무인항공기(UAV)를 활용한 건설현장 가시설물 안전관리)

  • Jun, Byong-Hee;Kim, Nam-Gyun;Jun, Kyo-Won;Choi, Bong-Jin
    • Journal of Korean Society of Disaster and Security
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    • v.12 no.3
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    • pp.59-67
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    • 2019
  • In this study, the UAV (Unmammed Aerial Vehicle) was applied for the photogrammetry of the construction site and the safety management of steel pipe scaffold. The research site is a temporary facility for building reinforcement on Samcheok Campus of Kangwon National University. The installation condition of the steel pipe scaffold was investigated, and the pillar distance, the beam distance and the wale distance were surveyed. As a result, it was found that the beam distance of the scaffold in the longitudinal direction was in good agreement with the standard, but the pillar distance and the wale distance were found to be less than the standard. Three-dimensional data can be used in drone shooting to enable three-dimensional measurement, so that it is possible to measure facilities hidden or located inside other facilities. Through the drone shooting, the condition of the site can be quickly recorded and the surveying can be carried out without interfering with the work of the field personnel. Although the installation of the temporary structure must be strictly observed to ensure the safety of the workers, it is found that the installation standards are still neglected in the field. In order to prevent this practice, it was thought that the legal system should be supplemented so that it could be checked periodically by using UAV in the field process management.