Forest Fire

The Copernicus Sentinel-3A satellite captured this image of smoke from wildfires in the US state of California on 9 October 2017. Image: 	contains modified Copernicus Sentinel data (2017), processed by ESA, CC BY-SA 3.0 IGO.

Definition

Wildfire, also called forest, bush or vegetation fire, can be described as any uncontrolled and non-prescribed combustion or burning of plants in a natural setting such as a forest, grassland, brush land or tundra, which consumes the natural fuels and spreads based on environmental conditions (e.g., wind, topography). Wildfire can be incited by human actions, such as land clearing, extreme drought or in rare cases by lightning (IRDR).

There are three conditions that need to be present in order for a wildfire to burn: fuel, oxygen, and a heat source. Fuel is any flammable material surrounding a fire, including trees, grasses, brush, even homes. The greater an area's fuel load, the more intense the fire. Air supplies the oxygen a fire needs to burn. Heat sources help spark the wildfire and bring fuel to temperatures hot enough to ignite. Lightning, burning campfires or cigarettes, hot winds, and even the sun can all provide sufficient heat to spark a wildfire (National Geographic).

Facts and figures

The Global Wildland Fire Network Bulletin published by the Global Fire Monitoring Center (GFMC) presents the most recent data regarding consequences of wildfire: in 2017, 36 fires in protected areas were recorded in 19 countries burning more than 196000 hectares worldwide.

Wildfire plays a mixed role for ecology and economy since some ecosystems depend on natural fires to maintaining their dynamics, biodiversity and productivity. However, every year, wildfires burn millions of hectares of forest woodlands and other vegetation, causing the loss of many human and animal lives and an immense economic damage, both in terms of resources destroyed and the costs of suppression. There are also impacts on society and the environment, such as damage to human health from smoke, loss of biological diversity, release of  greenhouse gases, damage to recreational values and infrastructure (FAO).

Most fires are caused by people. The list of human motivations include land clearing and other agricultural activities, maintenance of grasslands for livestock management, extraction of non-wood forest products, industrial development, resettlement, hunting, negligence and arson. Only in very remote areas of Canada and the Russian Federation lightning is a major cause of fires (FAO).

There are three basic types of wildfires:

  • Crown fires burn trees up their entire length to the top. These are the most intense and dangerous wildland fires.
  • Surface fires burn only surface litter and duff. These are the easiest fires to put out and cause the least damage to the forest.
  • Ground fires (sometimes called underground or subsurface fires) occur in deep accumulations of humus, peat and similar dead vegetation that become dry enough to burn. These fires move very slowly, but can become difficult to fully put out, or suppress (Government of Canada).

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Événement

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EO4GEO aims to bridge the skills gap between the supply and demand of education and training in the space/geospatial sectors, fostering the uptake and integration of space/geospatial data and services in a broad range of application domains. 

The event includes sessions on:

Fire map. Image: Copernicus

This is an online event through interactive data discovery and user practices on state-of-the-art operational datasets for detection of fire, related emissions and impacts

 
Here is an overview of the program:
  • 11-May, 08:00 UTC (10:00 CET): AC-SAF and S5P products
  • 11-May, 09:00 UTC (11:00 CET): Intro to data handling tools
  • 12 May, 08:00 UTC (10:00 CET): CAMS and GFAS
  • 13 May, 08:00 UTC (10:00 CET): EFFIS service
  • 14 May, 08:00 UTC (10:00 CET): LAND-SAF
  • 15 May, 08:00 UTC (10:00 CET): Sentinel 3 Copernicus Near Real Time (NRT) fire... read more
Webinar Avanzado: Mapeo y Monitoreo de los Bosques con Datos SAR logo. Image: NASA

Esta capacitación avanzada cubrirá los siguientes temas 1) análisis del cambio en los bosques con datos SAR multi-temporales utilizando Google Earth Engine (GEE); 2) la clasificación de la cobertura terrestre con datos SAR y ópticos utilizando GEE; 3) el mapeo de manglares con SAR; 4) y la estimación de la altura de los bosques utilizando SAR. Cada sesión incluirá una porción teórica describiendo el uso de SAR para el mapeo de la cobertura relevante el enfoque de la sesión, seguida por una demostración de cómo acceder, descargar y analizar datos SAR para el mapeo y monitoreo del bosque. Estas demostraciones utilizan datos y software de libre acceso y de fuente abierta.

Objetivos de Aprendizaje: 

  • Para la conclusión de esta capacitación, los participantes podrán:
  • Interpretar datos radar para el mapeo de los bosques
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Se revisan los métodos empleados para generar productos de área quemada mediante satélites de teledetección, analizando sus ventajas, así como los problemas actuales para obtener información confiable y consistente. Se comenta también cómo la información de área quemada puede combinarse con otras bases de datos espaciales para generar ciencia sobre causas e impactos de las quemas de biomasa.

RedLaTIF - http://www.redlatif.org
La Red Latinoamericana de Teledetección e Incendios Forestales (RedLaTIF) es una red regional que pretende unir esfuerzos en el campo de la observación y gestión de los incendios forestales en todos los países latinoamericanos. Esta red está estrechamente unida al programa Global Observations of Forest and Land Cover Dynamics (GOFC/GOLD), la cual intenta contribuir en el cumplimiento de los objetivos de... read more

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The Advanced Training Course on Land Remote Sensing – EO and AI for Forestry aims at:

  • Training the next generation of scientists and professionals on remote sensing for land surfaces, with the focus on forestry
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  • Introducing tool and methods for the exploitation of EO satellite data, in particular the Sentinels
  • Stimulating the exploitation of EO and AI in the domain of forestry
  • Demonstrating cloud-based, large-scale processing (Forestry Thematic Application Platform)

The training will include theory and hands-on sessions on the following... read more

Forest Mapping and Monitoring with SAR Data. Image: NASA

This advanced webinar series will introduce participants to:

1) SAR time series analysis of forest change using Google Earth Engine (GEE)

2) land cover classification with radar and optical data with GEE

3) mapping mangroves with SAR

4) forest stand height estimation with SAR

Each training will include a theoretical portion describing the use of SAR for landcover mapping as related to the focus of the session followed by a demonstration that will show participants how to access, download, and analyze SAR data for forest mapping and monitoring. These demonstrations will use freely-available, open-source data and software

The webinar is divided in 4 parts:

1)... read more

Actualités

Sentinel-2 image of fire. Image: ESA

A series of wildfires have been destroying forests and agricultural land near the abandoned Chernobyl nuclear power plant in Ukraine. Due to concerns about the spread of these fires and the potential dispersion of smoke plumes and radioactive chemicals to nearby inhabited areas, the European Union’s Emergency Response Coordinating Centre (ERCC... read more

Publishing date: 21/04/2020
Participants during the training on flood mapping using SNAP and QGIS.

To support the National Office of Civil Protection (ONPC) of Tunisia and other government agencies in using space-based information for disaster management, UN-SPIDER conducted a three-day training in Tunis from 9 to 11 March. The course highlighted the relevance and usefulness of... read more

Publishing date: 10/03/2020

Advisory Support

At the request of, and in coordination with the National Civil Protection Office of Tunisia, UN-SPIDER is conducting a Technical Advisory Mission to Tunisia from 4 to 6 March 2020 to identify the needs of the country to fully take advantage of space-based information for disaster management. In order to discuss the use of space-based information for risk and disaster management to subsequently make recommendations on improvements, the expert team meets with key disaster management authorities in the country.

The mission is conducted with the support of experts from the Algerian Space Agency (ASAL); the Romanian Space Agency (ROSA); the United Nations Economic Commission for Africa (UNECA); the National Observatory of Athens (NOA); and an expert on the Copernicus Emergency Management Service. The mission team is also benefiting from the support of the Chief of Space Applications of the United Nations Office for Outer Space Affairs.

As part of the mission, the team of experts will visit several institutions including the National Office of Civil Protection; the Directorate General for Forests of the Ministry of Agriculture; the Faculty of Sciences of Tunis, University of Tunis El Manar; the National Agronomic Institute of Tunisia; the National Institute of Meteorology; as well as at the Ministry of Local Affairs and Environment. Meetings will also be conducted with representatives of the National Cartographic and Remote Sensing Centre of Tunisia and other organizations. In addition, the TAM team will meet the United Nations Country Team in Tunisia, which supports disaster management efforts in the country.

During the TAM, a workshop with over 20 participants from nine institutions will take place in order to present the UN-SPIDER programme to Tunisian counterparts involved in disaster management, and encourage inter-institutional cooperation and sharing of geospatial information among them.

UN-SPIDER aims at ensuring all countries have the capacity to use all types of space-based information to support risk and disaster management efforts. To make sure that all interested stakeholders can benefit from this information in the most effective way possible, UN-SPIDER provides Technical Advisory Support to Member States through missions such as this one.

The Algerian Space Agency (ASAL), the Romanian Space Agency (ROSA) and the National Observatory of Athens (NOA) are UN-SPIDER Regional Support Office.

On request of the Tunisian Government and immediately after the technical advisory mission, UN-SPIDER conducted a three-day hands-on training on the use of Sentinel-1 radar data for flood mapping. In order to further strengthen the capacity of Tunisia to use space technologies for disaster management, UN-SPIDER will continue to encourage the participation of Tunisian institutions in its conferences and expert meetings. In addition, together with its regional and international partners, UN-SPIDER will provide training on forest fire mapping in the medium term. 

Mission dates: 04/03/2020 to 06/03/2020

UN-SPIDER Training Activity

Flood mapping with Sentinel-1 radar data | Date of training: 09/03/2020 to 11/03/2020

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