scholarly journals Remote Sensing and GIS Application to Establish a Forest Fire Risk Map for Planning of Forest Fire Prevention and Mitigation in Son La Province, Vietnam

Author(s):  
Pham Xuan Canh

Son La is a mountainous province in the Northwest of Vietnam with many ethnic groups, and has an area of ​​14,125 km², accounting for 4.27% of the total area of ​​Vietnam. The ​​forest land accounts for 73% of the total natural area of ​​the province with 357,000 ha of forest. Among this having 4 areas of special use and the natural reserve forest. Every year, hundreds of forest fires cause huge natural, economic and ecological damages to the province. Due to the climate change, forest fires tend to increase in recent years. In order to prevent the fires, warning maps of the forest fire risk are needed. The research has analyzed mechanism and causes of the forest fires, and built a forest fire-related database with multi-layers of natural, social and economic information, in these, some layers were extracted from the Landsat 7 images. The expert method was applied for assessement and Saaty's Hierarchical Analysis (AHP) methods were applied to determine the weight for separated parameters related to forest fires. The research applied the MCA method to build a multi-indicator function with 9 parameters for establishing the forest fire risk map at the scale of 1:100,000 for provincial levels. In verifying the results by regression correlation analysis, the R2 value reached 0.71.These maps have been used for the purpose of forest fire prevention planning for Son La province.

2020 ◽  
Vol 5 (19) ◽  
pp. 202009
Author(s):  
Tarsis Esaú Gomes Almeida ◽  
Maria do Socorro Almeida Flores ◽  
Mário Vasconcellos Sobrinho

MAPPING DISASTER RISK BY FOREST FIRE IN THE AMAZON: a multifactorial approach in the municipality of Moju (PA)MAPEO DEL RIESGO DE DESASTRE POR INCENDIO FLORESTAL EN LA AMAZONÍA: un enfoque multifactorial en el municipio de Moju (PA)RESUMONo estado do Pará o município de Moju é um dos que apresentam a maior quantidade de focos de calor conforme dados oficiais. Note-se que a base de suas atividades econômicas são a agricultura familiar e as plantações de dendê e coco-da-baía, diante disso propôs-se questionar sobre o risco não apenas da existência de incêndios florestais, mas da magnitude das consequências socioeconômicas deles. A pesquisa bibliográfica e documental em artigos acadêmicos e científicos, dissertações e teses possibilitou a compreensão do significado de mapeamento de áreas de risco de incêndio florestal identificadas no mapa de risco, bem como a possibilidade de desenvolver com base teórica e metodológica a criação de um mapeamento e ponderação de aspectos socioeconômicos expressado no mapa de vulnerabilidade, a fim de refinar um produto final na elaboração do mapa de risco de desastre. Assim, objetivo deste artigo é mostrar e discutir a incorporação de fatores sociais e econômicos na formulação dos mapas de risco de incêndio florestal. Mais precisamente, um Mapa de Risco de Desastre por Incêndio Florestal (MRDIF), que consiste na fusão entre Mapas de Risco de Incêndio Florestal e um Mapa Avaliativo Socioeconômico. Como resultado imediato da formação do MRDIF é o planejamento de ações preventivas. Percebeu-se que houve variação nas áreas de risco dos mapas com e sem a inclusão dos aspectos socioeconômicos, o que pode indicar quais sejam as áreas principais para ações a fim de diminuir os riscos ou as consequências dos possíveis desastres causados por incêndios florestais. Palavras-chave: Gestão de Risco; Incêndios Florestais; Uso do Solo na Amazônia; Cartografia.ABSTRACTIn the state of Pará, the municipality of Moju is one of those with the highest number of hot spots according to official data. It should be noted that the basis of its economic activities are family farming and oil palm and coconut plantations. In view of this, it was proposed to ask about the risk not only of the existence of forest fires, but of the magnitude of their socioeconomic consequences. Bibliographic and documentary research in academic and scientific articles, dissertations and theses made it possible to understand the meaning of mapping areas of forest fire risk identified in the risk map, as well as the possibility of developing a mapping with theoretical and methodological basis. and weighting of socioeconomic aspects expressed in the Vulnerability Map, in order to refine a final product in the preparation of the disaster risk map. Thus, the objective of this article is to show and discuss the incorporation of social and economic factors in the formulation of forest fire risk maps. More precisely, a Forest Fire Disaster Risk Map (FFDRP), which consists of the merger between Forest Fire Risk Maps and a Socioeconomic Assessment Map. As an immediate result of the formation of FFDRP is the planning of preventive actions. It was noticed that there was variation in the risk areas of the maps with and without the inclusion of socioeconomic aspects, which may indicate what are the main areas for actions in order to reduce the risks or the consequences of possible disasters caused by forest fires.Keywords: Risk Management; Fire Forest; Land Use in the Amazon; Cartography.RESUMENEn el estado de Pará, el municipio de Moju es una de las regiones con el mayor número de focos de calor según datos oficiales. Cabe señalar que la base de sus actividades económicas son la agricultura familiar y las plantaciones de palma aceitera y coco, en vista de esto, se propuso preguntar sobre el riesgo no solo de la existencia de incendios forestales, sino de la magnitud de sus consecuencias socioeconómicas. La investigación bibliográfica y documental en artículos académicos y científicos, disertaciones y tesis permitió comprender el significado de las áreas de mapeo de riesgo de incendio forestal identificadas en el mapa de riesgo, así como la posibilidad de desarrollar un mapeo con base teórica y metodológica. y ponderación de los aspectos socioeconómicos expresados en el mapa de vulnerabilidad, con el fin de refinar un producto final en la preparación del mapa de riesgo de desastres. Por lo tanto, el objetivo de este artículo es mostrar y discutir la incorporación de factores sociales y económicos en la formulación de mapas de riesgo de incendios forestales. Más precisamente, un Mapa de Riesgo de Desastres por Incendios Forestales (MRDIF), que consiste en la fusión entre Mapas de riesgo de incendios forestales y un Mapa de evaluación socioeconómica. Como resultado inmediato de la formación de MRDIF es la planificación de acciones preventivas. Se observó que hubo variación en las áreas de riesgo de los mapas con y sin la inclusión de aspectos socioeconómicos, lo que puede indicar cuáles son las principales áreas de acción para reducir los riesgos o las consecuencias de posibles desastres causados por incendios forestales.Palabras clave: Gestión de Riesgos; Incendios Florestales; Uso del Suelo en la Amazonia; Cartografía.


2020 ◽  
Vol 3 (1) ◽  
pp. 30
Author(s):  
Luis Santos ◽  
Vasco Lopes ◽  
Cecília Baptista

The number of forest fires ignitions has decreased worldwide, thus observing increased levels of intensity and destruction, endangering urban areas and causing material damages and deaths (Portugal, 2017). Forest fire hazard mapping supported by the surveillance strategy targeted at very susceptible areas with high losses potential are the common tools of fire prevention. Each municipality creates its own Forest Fire Hazard Map, and so it is observed that along the administrative boundaries, discrepancies occur, even when identical types of land use are in place. The evolution of geographic information systems technology sustained by the open-source satellite imagery, along with the innovative Habitat Risk Assessment model of the InVEST software, allowed the creation of an easily applicable trans-administrative boundary fire hazard map, with frequent update capabilities and fully open source. This work considered three municipalities (Tomar, Ourém, and Ferreira do Zêzere) that annually observe various forest fire occurrences. Results enabled the creation of a homogeneous Forest Fire Risk Map, using landuse, slope, road access network, fire ignitions’ history, visualization basins, and the Normalized Difference Vegetation Index (NDVI) as variables. All variables correlate with each other using different weights, in which the different classes of land use are considered as habitats and the remaining variables as fire hazard stressors. The results produce a coherent monthly updated Risk Map, which is an alternative to many risk assessment systems used worldwide.


2020 ◽  
Vol 3 (1) ◽  
pp. 62
Author(s):  
Abdullah E. Akay

Flooded forests are very important ecosystems that are rich in terms of their diverse flora and fauna. However, they are mostly degraded in many parts of the world, and the remaining fragmented areas are in a critical condition. Forest fires are one of the major environmental disasters that cause serious damage to forest ecosystems, and negatively affect the sustainability of forest resources. In order to minimize the potential effects of fires on forest ecosystems, forest fire risk maps should be generated, and thereby the necessary precautionary measures can be taken in these areas, according to fire risk levels. Geographical information system (GIS) techniques, integrated with multi-criteria decision analysis (MCDA) methods, can be effectively used to develop risk maps for natural hazards, such as forest fires, winter storms, floods, etc. In this study, GIS techniques integrated with an AHP (analytic hierarchy process) method were used to generate a forest fire risk map. The study was implemented in the Karacabey flooded forest, located in the city of Bursa in Turkey. In the solution process, the forest fire risk was evaluated considering two major risk factors, including stand structures (tree species, crown closure, and tree stage) and topographic factors (slope and aspect). The vegetation factor under climate control was considered, instead of directly using data of climatic elements such as temperature and humidity. The results indicated that 25.28% of the forest area was of high fire risk, while 53.17% and 21.55% was of medium and low fire risk, respectively. It was found that the most effective criterion was tree species, followed by tree stage. This aspect had the least effective criterion on forest fire risk. It was revealed that GIS techniques integrated with MCDA methods can be used effectively to estimate forest fire risk zones.


2010 ◽  
Vol 161 (11) ◽  
pp. 460-464
Author(s):  
Andrea Kaltenbrunner

Thanks to fast alarm systems and modern fire-fighting equipment most forest fires can be extinguished while still very small. Nevertheless, the fire brigade and forest organisations in the Grisons are recurringly confronted with larger fires. Over the past twenty years the Grisons Forestry Service and the fire section of the cantonal Building Insurance Company have invested in fire prevention and improved fire-fighting techniques. To monitor and assess the risk of forest fires, the computer-aided forest fire forecasting system “Incendi” was developed. On its basis, regional forest fire risk maps are drawn up and bans on the lighting of fires are imposed. For use in case of fire, the Forestry Service has drawn up maps of the whole Canton Grisons showing water supply points in and near the forest. Where there are gaps in the water supply, artificial water sources are being created. Fifteen years ago a concept of forest fire-fighting bases was elaborated. The most important elements of this concept are the 18 regional depots of mobile fire-fighting material, which in case of emergency can be transported where needed. The present-day administrative structures and the precautionary measures taken in the Grisons fulfil the conditions for efficient forest fire prevention and control.


2019 ◽  
Vol 4 (1) ◽  
pp. 18-20
Author(s):  
Lihe Li ◽  
◽  
Huilan Jiang ◽  

Forest fire is the biggest potential safety hazard of forest resources, and fire damage to forest resources is great. Therefore, forest fire prevention is an important content in the management and protection of forest resources. In order to effectively protect forest resources, scientific and effective measures must be taken to reduce forest fires. Based on this, this paper analyzes the troubleshooting of forest fire risk and discusses the relevant solutions.


Author(s):  
S. Mariscal ◽  
M. Ríos ◽  
F. Soria

Abstract. Forest fires have negative effects on biodiversity, the atmosphere and human health. The paper presents a spatial risk model as a tool to assess them. Risk areas refer to sectors prone to the spread of fire, in addition to the influence of human activity through remote sensing and multi-criteria analysis. The analysis includes information on land cover, land use, topography (aspect, slope and elevation), climate (temperature and precipitation) and socio-economic factors (proximity to settlements and roads). Weights were assigned to each in order to generate the forest fire risk map. The investigation was carried for a Biological Reserve in Bolivia because of the continuous occurrence of forest fires. Five risk categories for forest fires were derived: very high, high, moderate, low and very low. In summary, results suggest that approximately 67% of the protected area presents a moderate to very high risk; in the latter, populated areas are not dense which reduces the actual risk to the type of events analyzed.


2021 ◽  
Vol 63 (1) ◽  
pp. 21-35
Author(s):  
Djamel Anteur ◽  
Abdelkrim Benaradj ◽  
Youcef Fekir ◽  
Djillali Baghdadi

Abstract The great forest of Zakour is located north of the commune of Mamounia (department of Mascara). It is considered the lung of the city of Mascara, covers an area of 126.8 ha. It is a forest that is subject to several natural and human constraints. Among them, the fires are a major danger because of their impacts on forest ecosystems. The purpose of this work is to develop a fire risk map of the Zakour Forest through the contribution of geomatics according to natural and anthropogenic conditions (human activities, agglomeration, agricultural land) while integrating information from ground on the physiognomy of the vegetation. For this, the creation of a clearer fire risk map to delimit the zones potentially sensitive to forest fires in the forest area of Zakour. This then allows good implementation of detection management plans, for better prevention and decision-making assistance in protecting and fighting forest fires.


2021 ◽  
Author(s):  

Forest and wildland fires are a natural part of ecosystems worldwide, but large fires in particular can cause societal, economic and ecological disruption. Fires are an important source of greenhouse gases and black carbon that can further amplify and accelerate climate change. In recent years, large forest fires in Sweden demonstrate that the issue should also be considered in other parts of Fennoscandia. This final report of the project “Forest fires in Fennoscandia under changing climate and forest cover (IBA ForestFires)” funded by the Ministry for Foreign Affairs of Finland, synthesises current knowledge of the occurrence, monitoring, modelling and suppression of forest fires in Fennoscandia. The report also focuses on elaborating the role of forest fires as a source of black carbon (BC) emissions over the Arctic and discussing the importance of international collaboration in tackling forest fires. The report explains the factors regulating fire ignition, spread and intensity in Fennoscandian conditions. It highlights that the climate in Fennoscandia is characterised by large inter-annual variability, which is reflected in forest fire risk. Here, the majority of forest fires are caused by human activities such as careless handling of fire and ignitions related to forest harvesting. In addition to weather and climate, fuel characteristics in forests influence fire ignition, intensity and spread. In the report, long-term fire statistics are presented for Finland, Sweden and the Republic of Karelia. The statistics indicate that the amount of annually burnt forest has decreased in Fennoscandia. However, with the exception of recent large fires in Sweden, during the past 25 years the annually burnt area and number of fires have been fairly stable, which is mainly due to effective fire mitigation. Land surface models were used to investigate how climate change and forest management can influence forest fires in the future. The simulations were conducted using different regional climate models and greenhouse gas emission scenarios. Simulations, extending to 2100, indicate that forest fire risk is likely to increase over the coming decades. The report also highlights that globally, forest fires are a significant source of BC in the Arctic, having adverse health effects and further amplifying climate warming. However, simulations made using an atmospheric dispersion model indicate that the impact of forest fires in Fennoscandia on the environment and air quality is relatively minor and highly seasonal. Efficient forest fire mitigation requires the development of forest fire detection tools including satellites and drones, high spatial resolution modelling of fire risk and fire spreading that account for detailed terrain and weather information. Moreover, increasing the general preparedness and operational efficiency of firefighting is highly important. Forest fires are a large challenge requiring multidisciplinary research and close cooperation between the various administrative operators, e.g. rescue services, weather services, forest organisations and forest owners is required at both the national and international level.


2020 ◽  
Vol 10 (22) ◽  
pp. 8213
Author(s):  
Yoojin Kang ◽  
Eunna Jang ◽  
Jungho Im ◽  
Chungeun Kwon ◽  
Sungyong Kim

Forest fires can cause enormous damage, such as deforestation and environmental pollution, even with a single occurrence. It takes a lot of effort and long time to restore areas damaged by wildfires. Therefore, it is crucial to know the forest fire risk of a region to appropriately prepare and respond to such disastrous events. The purpose of this study is to develop an hourly forest fire risk index (HFRI) with 1 km spatial resolution using accessibility, fuel, time, and weather factors based on Catboost machine learning over South Korea. HFRI was calculated through an ensemble model that combined an integrated model using all factors and a meteorological model using weather factors only. To confirm the generalized performance of the proposed model, all forest fires that occurred from 2014 to 2019 were validated using the receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) values through one-year-out cross-validation. The AUC value of HFRI ensemble model was 0.8434, higher than the meteorological model. HFRI was compared with the modified version of Fine Fuel Moisture Code (FFMC) used in the Canadian Forest Fire Danger Rating Systems and Daily Weather Index (DWI), South Korea’s current forest fire risk index. When compared to DWI and the revised FFMC, HFRI enabled a more spatially detailed and seasonally stable forest fire risk simulation. In addition, the feature contribution to the forest fire risk prediction was analyzed through the Shapley Additive exPlanations (SHAP) value of Catboost. The contributing variables were in the order of relative humidity, elevation, road density, and population density. It was confirmed that the accessibility factors played very important roles in forest fire risk modeling where most forest fires were caused by anthropogenic factors. The interaction between the variables was also examined.


FLORESTA ◽  
2020 ◽  
Vol 50 (4) ◽  
pp. 1818
Author(s):  
Bruna Kovalsyki ◽  
Alexandre França Tetto ◽  
Antonio Carlos Batista ◽  
Nilton José Sousa ◽  
Marta Regina Barrotto do Carmo ◽  
...  

Forest fire hazard and risk mapping is an essential tool for planning and decision making regarding the prevention and suppression of forest fires,as well as fire management in general, as it allows the spatial visualization of areas with higher and lower ignition probability. This study aimed to develop a forest fire risk zoning map for the Vila Velha State Park and its surroundings (Ponta Grossa, Paraná State, Brazil), for the period of higher incidence of forest fires (from April to September) and for the period of lower incidence (from October to March). The following risk and hazard variables were identified: human presence, usage zones, topographical features, soil coverage and land use and meteorological conditions. Coefficients (0 to 5) reflecting the fire risk or hazard degree were allocated to each variable in order to construct the maps. The integration of these maps, through a weighting model, resulted in the final risk mapping. The very high and extreme risk classes represented about 38% of the area for both periods. The forest fire risk mapping spatially represented the levels of fire risk in the area, allowing the managers to identify the priority sectors for preventive actions in both fire seasons.


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