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Volume 8, Issue 3 (10-2018)
Disaster Prev. Manag. Know. 2018, 8(3): 225-240 |
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Salman Mahiny A.
The role of remote sensing and its data in the disaster and crisis management cycle. Disaster Prev. Manag. Know. 2018; 8 (3) :225-240
URL: http://dpmk.ir/article-1-203-en.html
URL: http://dpmk.ir/article-1-203-en.html
1- Profesor, Faculty of Fisheries and Environmental Sciences, Land use and Land Evaluation group, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Golestan, Iran
Abstract: (4191 Views)
Background and objective: Crisis management in an effective management cycle includes prevention, preparedness, coping and reconstruction. Prevention, which reduces the risks and in consequence the likelihood of disasters, is an important part of the crisis management cycle, since it is the best option to reduce the likelihood of a crisis by preventing the risk. Remote sensing may be used to reduce disasters by identifying and understanding hazards. Remote sensing provides spatial data which are useful in disasters and crisis management cycle. One of the important steps in the phases of prevention and coping is disaster monitoring, which can greatly reduce the risk of disasters. Remote sensing also plays a very important role in providing timeline images and necessary data to monitor and implement land evaluation and assessment. Remote sensing technology can help crisis managers and land planning planners by addressing some disaster incentives through providing the necessary data. The purpose of this study is to consider the applied data and to list practical examples and providing an example of the application of remote sensing data in drought monitoring.
Method: This study initially introduced and considered some examples of the applications and the types of necessary data and informations for every step of a cycle including the source data of optics, thermal and artificial stomatal radar on spatial and temporal scales, due to the lack of a comprehensive Persian source regarding the study of the crisis management cycle and the applications of remote sensing data. At the end, a case study of remote sensing time series data application in disaster monitoring in the phase of prevention is considered.
Findings: The efficiency of remote-sensing images of the MODIS sensor in diasters monitoring was demonstrated at the regional scale due to the relatively high spatial and temporal resolution.
Results: Remote sensing is an effective tool within crisis management cycle. MODIS time series images include NDVI vegetation indexes and land temperature (LST) are proper for drought monitoring
Method: This study initially introduced and considered some examples of the applications and the types of necessary data and informations for every step of a cycle including the source data of optics, thermal and artificial stomatal radar on spatial and temporal scales, due to the lack of a comprehensive Persian source regarding the study of the crisis management cycle and the applications of remote sensing data. At the end, a case study of remote sensing time series data application in disaster monitoring in the phase of prevention is considered.
Findings: The efficiency of remote-sensing images of the MODIS sensor in diasters monitoring was demonstrated at the regional scale due to the relatively high spatial and temporal resolution.
Results: Remote sensing is an effective tool within crisis management cycle. MODIS time series images include NDVI vegetation indexes and land temperature (LST) are proper for drought monitoring
Type of Study: ترویجی |
Subject:
Special
Received: 2018/02/12 | Accepted: 2018/04/29 | ePublished: 2018/08/26
Received: 2018/02/12 | Accepted: 2018/04/29 | ePublished: 2018/08/26
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