Rtuffli: SIGNAL publish from draft v15

2026-05-29T19:01:15Z

SIGNAL publish from draft v15

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{| class="wikitable" style="float:right; clear:right; margin:0 0 1em 1em; width:320px;"
|+ SIGNAL Earth Structured Data
|-
! Object type
| Damage Signal
|-
! SIGNAL Earth ID
| DS-00007
|-
! Observable type
| Burned area
|-
! Unit
| ha (ha)
|-
! Temporal structure
| Annual
|-
! Monitoring backbone
| MODIS / ESA
|}


{{SignalTerm|type=DS|id=DS-00007|label=Burned area (annual)}} refers to the total land surface area affected by fire within a one-year period. This environmental phenomenon is a key indicator of fire activity and its ecological and atmospheric impacts. Fires influence vegetation dynamics, carbon cycling, and air quality, making burned area an important metric in land and climate studies. Monitoring annual burned area supports understanding of fire regimes, ecosystem resilience, and the role of fire as a natural and anthropogenic driver in terrestrial environments. Globally, burned area varies by region and climate, reflecting differences in vegetation, weather patterns, and human land use practices.

== Geographic / System Context ==
The burned area signal encompasses global terrestrial ecosystems, including forests, savannas, grasslands, and shrublands. Fire occurrence and extent are influenced by geographic factors such as climate zones, vegetation types, topography, and human activity. Regions such as boreal forests, tropical savannas, and Mediterranean landscapes exhibit distinct fire regimes with varying seasonal and interannual patterns. The global scope of burned area monitoring allows for comparative analysis across biomes and supports assessment of fire impacts on biodiversity, carbon storage, and land degradation.

== Monitoring and Measurement ==
Annual burned area is primarily monitored using satellite remote sensing technologies. The Moderate Resolution Imaging Spectroradiometer (MODIS) instruments aboard [https://en.wikipedia.org/wiki/NASA NASA] satellites provide frequent, global-scale observations that detect fire scars and active burns. The European Space Agency (ESA) Fire Climate Change Initiative (FireCCI) also produces burned area products derived from satellite data. These datasets employ algorithms to identify changes in surface reflectance indicative of fire damage. Ground-based observations and fire incident reports complement satellite data for validation and calibration. The Global Fire Emissions Database (GFED) integrates satellite-derived burned area with emissions modeling to estimate fire-related atmospheric inputs.

Within the SIGNAL system, this phenomenon is treated as a defined environmental signal whose boundaries and measurement conventions are described below.

== Signal Definition ==
The burned area (annual) signal quantifies the total surface area, measured in hectares, that has been affected by fire within a defined calendar year. It is derived from the observable type 'Burned area' and represents a pressure or stressor condition within the terrestrial land domain. This signal captures the spatial extent of vegetation and soil surfaces altered by fire, providing a standardized metric for assessing fire activity and its environmental effects over time.

== Boundary Conditions ==
Boundary inclusions encompass all terrestrial land surfaces where fire has caused detectable changes in vegetation or soil properties within the annual reporting period. This includes natural wildfires and anthropogenic fires such as agricultural burns and managed fires that result in measurable burned scars. Boundary exclusions involve areas where fire impact is below satellite detection thresholds, such as very small or low-intensity burns, or where cloud cover and sensor limitations prevent reliable observation. Aquatic and urban areas without vegetation are excluded from the burned area signal.

== Aggregation Semantics ==
Geographically, burned area data are aggregated at multiple spatial scales, ranging from local land units to global extents, enabling analysis of fire patterns across ecosystems and political boundaries. Temporally, the signal is aggregated on an annual basis to capture cumulative fire effects within each calendar year, facilitating trend analysis and interannual comparisons. Cross-signal aggregation may involve integration with related environmental signals such as aerosol optical depth to assess fire emissions, or soil degradation indices to evaluate post-fire land condition. These aggregation approaches support comprehensive understanding of fire dynamics and their environmental interactions.

== Observational Status ==
Monitoring of burned area is well-established through satellite-based platforms such as MODIS and ESA FireCCI, providing consistent global coverage since the early 2000s. Data products are regularly updated and refined to improve detection accuracy and temporal resolution. Future SIGNAL releases may incorporate enhanced algorithms, higher-resolution sensors, and integration with complementary datasets to better characterize fire severity, frequency, and ecological impacts. Continued observation supports fire management, climate modeling, and ecosystem assessment efforts.

== Related Signals ==
* Aboveground biomass stock
* Aerosol optical depth
* Drought severity index
* Forest canopy mortality rate
* Soil degradation severity index
* Soil erosion rate (water-driven)
* Soil moisture content
* Surface temperature (land)


== Key Associated People ==
* '''James T. Randerson''' — Contributor (UC Irvine) [Domain expert]
* '''Luigi Giglio''' — Contributor (University of Maryland) [Domain expert]



== Sources ==
* [https://www.globalfiredata.org/ GFED (Global Fire Emissions Database)]
* [https://doi.org/10.1016/j.rse.2019.111589 MODIS Burned Area product (MCD64A1) documentation]
* [https://climate.esa.int/en/projects/fire/ ESA FireCCI burned area products]
* [https://www.ipcc.ch/report/ar6/ IPCC AR6 fire / land chapters (wildfire trends)]

Burned area (annual) - Revision history

Rtuffli: SIGNAL publish from draft v15