Mapa Incendios Infocal 2021 ✓

The search for a feature titled "mapa incendios infocal" leads to two distinct interpretations depending on the geographic context: the fire protection plan in (INFOCAL) or the educational institute in (INFOCAL). 1. INFOCAL: Fire Protection Plan (Castilla y León, Spain)

In Spain, INFOCAL stands for the Plan de Protección Civil ante Emergencias por Incendios Forestales en Castilla y León.

The Map: The regional government provides a real-time Incendios Forestales Map which displays active fires, their status (active, controlled, or extinguished), and the level of risk or danger assigned.

Objective: This tool coordinates emergency responses to protect people and forest masses across the Castilla y León autonomous community. 2. SIMB: Fire Monitoring in Bolivia mapa incendios infocal

While "INFOCAL" in Bolivia primarily refers to the Fundación Infocal (a technical training institute), fire monitoring is officially handled by the SIMB (Sistema de Información y Monitoreo de Bosques).

Official Tool: The SIMB Interactive Map is the official authorized source for tracking heat sources (focos de calor) and forest fires in Bolivia. Key Features:

Real-Time Data: Updates every 3 hours with satellite information. The search for a feature titled " mapa

Georeferencing: Provides exact coordinates of fires to assist the Armed Forces and firefighters.

Additional Layers: Users can view information on protected areas, water sources, and road access. Other Monitoring Alternatives

If you are looking for general satellite views of fires in South America, you can use: distinguishing between woodland

1. Abstract

The Mapa Incendios Infocal (Infocal Fire Map) is a specialized geographic information system (GIS) designed to provide near real-time visualization, tracking, and analysis of wildfire events. Unlike generalized satellite heat-detection maps, Infocal integrates official ground reports, infrared satellite data (e.g., MODIS, VIIRS), and meteorological layers to create an actionable common operating picture. This paper details its core components, data workflows, practical applications for emergency response, and limitations.

5.2 For Field Crews

• Situational awareness: Mobile-friendly version shows crew locations relative to fire edge and escape routes.
• Fire history: Compare current fire with past burn scars to predict fuel load.

A. Data Sources

The maps do not generate their own satellite imagery but aggregate global datasets:

• VIIRS (Suomi NPP): Provides high-sensitivity data, detecting even small fires (low-intensity heat sources).
• MODIS (Terra/Aqua): Provides long-term historical data on heat points.
• GOES-16: Provides rapid-scan data for real-time smoke and fire monitoring.

3. Historial de Quemas

¿Necesitas un reporte de la temporada pasada? El mapa almacena datos históricos. Esto es vital para estudios de deforestación, análisis de recurrencia y planeación territorial.

3. Core Components of the Infocal Fire Map

| Component | Data Source | Update Frequency | Use Case | |-----------|-------------|------------------|-----------| | Heat anomalies | VIIRS (375m resolution), MODIS (1km) | Every 6-12 hours | Initial fire detection | | Confirmed perimeters | Aerial infrared scanning, GPS from ground crews | Every 1-4 hours (during active fire) | Evacuation planning, containment calculation | | Weather overlays | Meteorological stations, HRRR model | Hourly | Fire behavior prediction (spread direction) | | Assets at risk | Cadastral maps, infrastructure databases | Static (updated annually) | Prioritization of protection efforts |

5. Practical Applications

Key Features of the Platform

The utility of the Mapa Incendios Infocal lies in its multi-layered approach to data visualization. Users accessing the platform typically find the following features:

1. Real-Time Updates: The map integrates satellite data and ground reports to show active fire fronts. This allows for immediate situational awareness during peak fire seasons.
2. Historical Data: One of the most powerful aspects of Infocal is its archival depth. Users can view maps of fires from previous years, analyzing patterns of recurrence in specific forest areas.
3. Causality Analysis: The platform often categorizes fires by known causes (lightning, human negligence, intentional, or unknown). This data is crucial for developing prevention campaigns and adjusting legal frameworks.
4. Severity Metrics: The map provides details on the affected surface area (hectares burned), distinguishing between woodland, scrubland, and pasture, which helps in calculating the ecological and economic impact.
5. Perimeter Mapping: For significant fires, the system often displays the estimated perimeter of the burn scar, aiding in post-fire restoration planning.