scholarly journals INTEGRATED GIS SYSTEM FOR POST-FIRE HAZARD ASSESSMENTS WITH REMOTE SENSING

2020 ◽  
Vol XLIV-3/W1-2020 ◽  
pp. 13-20
Author(s):  
V. Barrile ◽  
G. Bilotta ◽  
A. Fotia ◽  
E. Bernardo
Keyword(s):  
Remote Sensing ◽  
Forest Fires ◽  
Fossil Fuels ◽  
Fire Hazard ◽  
Remote Sensing Data ◽  
Fire Risk ◽  
Software Tool ◽  
Environmental Damage ◽  
Burnt Areas ◽  
Climate Crisis

Abstract. Fires continue to devour hundreds of thousands of hectares of forest even in 2020, generating gigantic damage to the ecosystem, if we think that we are in the midst of a climate crisis caused precisely by CO2 emissions into the atmosphere by man, due to burning of fossil fuels. The action to safeguard the territory and the fight against its progressive environmental degradation focus a great attention towards forest fires, also considering the enormous environmental damage that these have caused to important and very large areas of the globe. The aim of the contribution that we here propose is the design and implementation of a software tool that performs predictive functions of triggering possible forest fires, thanks to the integration and manipulation of data from different sources and processed by predictive mathematical models, to support decisions; the comparison of techniques for the processing of high-resolution remote sensing data from optical satellites for the best automatic discrimination of the areas covered by fire plays a fundamental role in the analysis. This allows managing the burnt areas also considering subsequent fire risks, and the integration of the techniques developed in a GIS in order to obtain an accurate perimeter and a fire risk map prevision.

scholarly journals Wildfires: an Application of Remote Sensing and OBIA

2021 ◽  
Vol 17 ◽  
pp. 282-296
Author(s):  
Giuliana Bilotta ◽  
Salvatore Calcagno ◽  
Stefano Bonfa
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Information System ◽  
Forest Fires ◽  
Fire Risk ◽  
Soil Stability ◽  
Environmental Damage ◽  
Remotely Sensed Data ◽  
Burnt Areas ◽  
Processing Techniques

- To maintain soil stability and integrity, it is important to distinguish between soil covered by thick vegetation and that made arid and barren by fire, particularly when considering growing climate change. The safeguarding of these territories and the fight against its progressive environmental degradation requires great attention be paid to forest fires, particularly when considering the enormous environmental damage that fires have caused to important and widespread areas of the globe. The purpose of the contribution here is to compare processing techniques of high-resolution remotely sensed data from optical satellites to determine the best method of automatic discrimination of fire areas, thereby allowing the management of burnt areas in the context of subsequent fire risk. These integrated techniques were developed in a Geographic Information System (GIS) to get an accurate perimeter, and in general to analyze and manage data, geographic and otherwise, with spatial and geostatistical queries and analyzes. In a such a way that has an immediate reflection in the capability of immediately preparing acts, such as orders, decrees and other provisions, both for the protection of properties and territories and to lay a basis also for the prosecution and repression of crimes

scholarly journals Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning

2020 ◽  
Vol 12 (24) ◽  
pp. 4124
Author(s):  
Goran Krsnik ◽  
Eduard Busquets Olivé ◽  
Míriam Piqué Nicolau ◽  
Asier Larrañaga ◽  
Adrián Cardil ◽  
...  
Keyword(s):  
Forest Fires ◽  
Fire Hazard ◽  
Fire Behavior ◽  
Remote Sensing Data ◽  
Fire Risk ◽  
Regional Level ◽  
Hazard Evaluation ◽  
Level Data ◽  
Risk Assessment And Management ◽  
Geospatial Interaction

Both fire risk assessment and management of wildfire prevention strategies require different sources of data to represent the complex geospatial interaction that exists between environmental variables in the most accurate way possible. In this sense, geospatial analysis tools and remote sensing data offer new opportunities for estimating fire risk and optimizing wildfire prevention planning. Herein, we presented a conceptual design of a server that contained most variables required for predicting fire behavior at a regional level. For that purpose, an innovative and elaborated fuel modelling process and parameterization of all needed environmental and climatic variables were implemented in order to enable to more precisely define fuel characteristics and potential fire behaviors under different meteorological scenarios. The server, open to be used by scientists and technicians, is expected to be the steppingstone for an integrated tool to support decision-making regarding prevention and management of forest fires in Catalonia.

scholarly journals Research database of burnt areas over Russia based on high resolution remote sensing data

2021 ◽  
Author(s):  
A.V. Kashnitskii ◽  
I.V. Balashov ◽  
I.A. Saigin ◽  
F.V. Stytsenko ◽  
E.A. Loupian
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Forest Fires ◽  
Method Development ◽  
Remote Sensing Data ◽  
Mapping Method ◽  
Research Database ◽  
Sensing Data ◽  
Fully Automatic ◽  
Burnt Areas

The paper presents the sample database of vegetation cover damaged by wildfires, obtained from high spatial resolution remote sensing data (up to 10 meters per pixel). At the time of publication, more than 6 thousand fires with a total area of more than 12 million ha were mapped and confirmed with the focus on forest fires. The database covers the period from 2009 to 2020 and is constantly being updated. The presented database may be of interest for various scientific wildfire researches and can be used as training basis for a fully automatic high-resolution fire mapping method development.

A procedure for integrated assessment of landscape fire risk using remote sensing data

2011 ◽  
Vol 17 (6) ◽  
pp. 30-44
Author(s):  
Yu.V. Kostyuchenko ◽  
◽  
M.V. Yushchenko ◽  
I.M. Kopachevskyi ◽  
S. Levynsky ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Integrated Assessment ◽  
Remote Sensing Data ◽  
Fire Risk ◽  
Sensing Data

Estimation of area burned by forest fires in Mediterranean countries: A remote sensing data mining perspective

2011 ◽  
Vol 262 (8) ◽  
pp. 1597-1607 ◽  
Author(s):  
Carmen Quintano ◽  
Alfonso Fernández-Manso ◽  
Alfred Stein ◽  
Wietske Bijker
Keyword(s):  
Remote Sensing ◽  
Data Mining ◽  
Forest Fires ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Area Burned ◽  
Mediterranean Countries

scholarly journals FOREST FIRE RISK ZONING FOR THE VILA VELHA STATE PARK AND ITS SURROUNDINGS (PONTA GROSSA, PARANÁ)

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 ◽  
...  
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Fire Hazard ◽  
Fire Risk ◽  
Risk Mapping ◽  
Ignition Probability ◽  
Risk Zoning ◽  
Extreme Risk ◽  
Forest Fire Hazard ◽  
Forest Fire Risk

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.

scholarly journals Risk prediction of forest fires based on the Remote sensing data

2014 ◽  
Vol 6 (29) ◽  
pp. 170
Author(s):  
Olga Vladimirovna Brovkina ◽  
Frantisek Zemek
Keyword(s):  
Remote Sensing ◽  
Risk Prediction ◽  
Forest Fires ◽  
Remote Sensing Data ◽  
Sensing Data
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