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.

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.

Forest fire risk assessment in parts of Northeast India using geospatial tools

2011 ◽  
Vol 22 (4) ◽  
pp. 641-647 ◽  
Author(s):  
Kanchan Puri ◽  
G. Areendran ◽  
Krishna Raj ◽  
Sraboni Mazumdar ◽  
P. K. Joshi
Keyword(s):  
Risk Assessment ◽  
Forest Fire ◽  
Fire Risk ◽  
Northeast India ◽  
Fire Risk Assessment ◽  
Geospatial Tools ◽  
Forest Fire Risk

scholarly journals Utilisation of GIS and remote sensing for forest fire risk zone mapping at Tram Chim National Park

2015 ◽  
Vol 18 (4) ◽  
pp. 221-235
Author(s):  
Minh Thanh Vu ◽  
Hien Thi Thu Le
Keyword(s):  
Remote Sensing ◽  
Forest Fire ◽  
Rainy Season ◽  
National Park ◽  
Fire Risk ◽  
Dry Season ◽  
Risk Zone ◽  
Gis And Remote Sensing ◽  
Risk Zones ◽  
Forest Fire Risk

Identification of areas of high fire risk is extremely important task in fire prevention and fire fighting. This study focuses on utilizing GIS and remote sensing to predict highest forest fire risk zones at Tram Chim National Park. Forest fire risk index was calculated based on forest-fire causing factors. The factors consist of landcover density and types, distance to water and settlements, surface temperature and leaf wetness index. And then, two forest fire risk maps were completed, one of them represented the fire risk in the rainy season in 2013, the other performed the fire risk in the dry season 2014. High fire risk zones locate mostly at the edge of the park where the bionass is rich and are near settlements. According to this fire risk computing, in the rainy season, area of high fire risk zone was 1,014.65 ha, about 14 % natural areas of Tram Chim National Park. In additional, in the dry season, high forest fire risk zones was 3,344.65 ha, and there is no safety zone. Results of the research contribute to the forest protecting at Tram Chim National Park and over the country.

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