A Mobile Mapping Approach for Disaster Management

Homainejad, Amir Saeed

doi:10.3850/s1793924013003015

Cited by 5 publications

(4 citation statements)

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“…On the other hand, Mc Bean and Rodgers [18] considered capacity building as a means of identifying the limitations in governmental response and developing alternative ways to overcome these barriers. Unfortunately, the roles of communities are often undervalued and at times ignored too [26]. Shah et al [19] assessed current capacity levels of local institutions in Pakistan and found that local institutions were poorly prepared in terms of awareness and trainings.…”

Section: Relevance Of Capacity Building and Community-based Approache...mentioning

confidence: 99%

Community-Based Strategies for Disaster Preparedness in Mauritius

NEERUNJUN

2024

Journal of Advanced Research in Natural and Applied Sciences

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Mauritius is Small Island Developing State (SIDS) of volcanic origin which lies in the South-West Indian Ocean Basin and is vulnerable to the consequences of global environmental challenges. The fourth priority action of the Sendai Framework for Disaster Risk Reduction 2015-2030 is to consolidate disaster preparedness for an effective response and to have a Build Back Better agenda that will improve recovery, rehabilitation, and reconstruction. This research aimed at examining the disaster management system in Mauritius through community-based approaches. The National Disaster Risk Reduction and Management Centre’s (NDRRMC) involvement with the community living in high-risk zones was investigated. This study used quantitative data gathered from secondary sources and included the number of field training simulation exercises, training of volunteers under the Community Disaster Response Programme (CDRP), awareness campaigns and formulation of contingency plans based on documentation across Mauritius. The NDRRMC identified 109 high-risk zones across Mauritius out of which 13.7 per cent benefitted from all four forms of mitigation activities. Results indicated that contingency plans in Mauritius were evidence-based and had been developed after identification of disaster risk in selected regions, and therefore, they were limited to some types of disasters only. Findings also revealed that flooding was the most common type of simulated disaster exercise undertaken. The greatest number of field simulation exercises was carried out in Poste de Flacq. Results also demonstrated that only 38.5% of the community were exposed to disaster-related awareness campaigns, making it the least common form of disaster risk reduction (DRR) activity in Mauritius.

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Section: Relevance Of Capacity Building and Community-based Approache...mentioning

confidence: 99%

Community-Based Strategies for Disaster Preparedness in Mauritius

NEERUNJUN

2024

Journal of Advanced Research in Natural and Applied Sciences

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“…Therefore, the output from this method has many applications in other disciplines, such as Disaster Management System (DMS). The application of this method in DMS and smart cities has been explained in Homainejad (2013), Homainejad (2015a) and Homainejad (2015b). For example, Figure 19 shows a route comprises a road network, driveway, lobby, and stairs that can be used in a DMS operation.…”

Section: Reconstructing 3d Modelmentioning

confidence: 99%

New Approach for Object Detection and Extraction from Digital Images for Providing a 3D Model Applicable in 3D GIS

Homainejad¹

2015

International Journal of 3-D Information Modeling

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This paper discusses a new approach in object extraction from aerial images with association of point cloud data. The extracted objects are captured in a 3D space for reconstructing a 3D model. The process includes three steps. In the first step the targeted objects are extracted from point cloud data and captured in a 3D space. The objects include buildings, trees, roads and background or terrain. In the second step the extracted objects are registered to the aerial image for assisting the object detection. Finally, the extracted objects from the aerial image are registered on the original 3D model for conversion to the point cloud data and then are captured in a 3D space for reconstructing a new 3D model. The final 3D model is flexible and editable. The objects can be edited, audited, and manipulated without affecting another objects or ruin the 3D model. Also, more data can be integrated in the 3D model improve its quality. The aspects of this project are: to reconstruct the final 3D model, and then each object can be interactively updated or modified without affecting the whole 3D model, and to provide a database for other users such as 3D GIS, city management and planning, Disaster Management System (DBS), and Smart City application.

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“…In this case it needs to increase the parameters of initialisation, for example the time and date of imagery, or atmospheric condition at the time of imagery can help to improve the output. In this project the roads, buildings, trees, and landscape were individually extracted for creating a 3D model as Homainejad (2013 and explained. Then the extracted vehicles will be registered on the 3D model for geo-referencing.…”

Section: Experiments With Extracting Vehicles From Aerial Imagementioning

confidence: 99%

With Geospatial in Path of Smart City

Homainejad¹

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:With growth of urbanisation, there is a requirement for using the leverage of smart city in city management. The core of smart city is Information and Communication Technologies (ICT), and one of its elements is smart transport which includes sustainable transport and Intelligent Transport Systems (ITS). Cities and especially megacities are facing urgent transport challenge in traffic management. Geospatial can provide reliable tools for monitoring and coordinating traffic. In this paper a method for monitoring and managing the ongoing traffic in roads using aerial images and CCTV will be addressed. In this method, the road network was initially extracted and geo-referenced and captured in a 3D model. The aim is to detect and geo-referenced any vehicles on the road from images in order to assess the density and the volume of vehicles on the roads. If a traffic jam was recognised from the images, an alternative route would be suggested for easing the traffic jam. In a separate test, a road network was replicated in the computer and a simulated traffic was implemented in order to assess the traffic management during a pick time using this method.

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A Mobile Mapping Approach for Disaster Management

Cited by 5 publications

References 0 publications

Community-Based Strategies for Disaster Preparedness in Mauritius

Community-Based Strategies for Disaster Preparedness in Mauritius

New Approach for Object Detection and Extraction from Digital Images for Providing a 3D Model Applicable in 3D GIS

With Geospatial in Path of Smart City

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