scholarly journals Review of the use of remote sensing for monitoring wildfire risk conditions to support fire risk assessment in protected areas

2019 ◽  
Vol 7 (3) ◽  
pp. 222 ◽  
Author(s):  
Olga Dipuo Molaudzi ◽  
Samuel Adewale Adelabu
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Protected Areas ◽  
Fire Risk ◽  
Wildfire Risk ◽  
Fire Risk Assessment

scholarly journals Forest fire risk assessment model using Remote sensing and GIS techniques in Tujiin nars national park, Mongolia

2021 ◽  
pp. 10-19
Author(s):  
Munkh-Erdene Altangerel ◽  
Amarsaikhan Damdinsuren ◽  
Jargaldalai Enkhtuya ◽  
Nyamjargal Erdenebaatar
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Forest Fire ◽  
National Park ◽  
Fire Risk ◽  
Assessment Model ◽  
Research Approach ◽  
Main Concern ◽  
Fire Risk Assessment ◽  
Forest Fire Risk

Forest is an important natural resource that should be carefully protected and rationally managed. In recent years, deforestation and forest land degradation have become the main concern for forest specialists as well as policy and decision-makers dealing with environment issues. It has been found that much of the existing forests have been destroyed, mainly by shifting cultivation, timber preparation, legal and illegal logging, and forest fires. To protect and conserve the deteriorating forest, it is very important to conduct forest-related risk assessment and map the outcomes in a spatial domain. The aim of this research is to conduct a forest fire risk assessment mapping of Tujiin Nars National Park using geographic information system (GIS) and remote sensing (RS) techniques. The research approach is based on an empirical model. It includes three parameters (i.e. geomorphology, vegetation cover combustibility and human activity) that are crucial for the forest fire assessment. The results of the study can be used for different decision making processes.

Development of a framework for fire risk assessment using remote sensing and geographic information system technologies

2010 ◽  
Vol 221 (1) ◽  
pp. 46-58 ◽  
Author(s):  
Emilio Chuvieco ◽  
Inmaculada Aguado ◽  
Marta Yebra ◽  
Héctor Nieto ◽  
Javier Salas ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Information System ◽  
Geographic Information System ◽  
Fire Risk ◽  
Geographic Information ◽  
Fire Risk Assessment

scholarly journals Forest Fire Risk Assessment Model Using Remote Sensing and GIS Techniques in Northwest Algeria

2019 ◽  
Vol 15 (1) ◽  
pp. 9-21
Author(s):  
Abdelkader Benguerai ◽  
Khéloufi Benabdeli ◽  
Abdelkader Harizia
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Forest Fire ◽  
Fire Hazard ◽  
Fire Risk ◽  
Local Economy ◽  
Assessment Model ◽  
Fire Risk Assessment ◽  
Forest Fire Prevention ◽  
In Fire

Abstract Algeria loses more than 20,000 hectares of forest to fire every year. The losses are costly both in terms of life and property damage, which weighs heavily on the environment and the local economy. Geomatics can complement the conventional methods used in fire hazard prevention and management. The objective of our study is to use the geographic information system (GIS) and the Remote Sensing (RS) technology to develop the fire risk assessment map of the forest massif of Zelamta located in Southeast Mascara province (Northwest Algeria). The methodology employed was an empirical model involving three parameters that can control fire behaviour: geomorphology, vegetal cover combustibility, and human activity. The obtained results can help in the decision-making process as well as provide cartographic support for forest fire prevention and management.

Fire Risk Assessment of Composite Materials in Aviation by Hazard Levels Characterized in Standard EN 45545

2020 ◽  
Vol 13 (5) ◽  
pp. 182
Author(s):  
Stanislav Szabo ◽  
Iveta Vajdova ◽  
Edina Jencova ◽  
Daniel Blasko ◽  
Robert Rozenberg ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Composite Materials ◽  
Fire Risk ◽  
Fire Risk Assessment ◽  
Hazard Levels
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