LANOT Projects

Hotspots

Participants

• LANOT
• Institute of Geography

Managers

• Principal investigators:
• Dra. Lilia de Lourdes Manzo Delgado
  
• Collaborating investigators:
• Dr. Fabiano Morelli
• Technicians:
  • Mtro. Colvert Gómez Rubio
• Collaborators:
• Ing. Jesús Hernández López
• Ing. Uriel de Jesús Mendoza Castillo
• M. en C. Alejandro Aguilar Sierra

Objective

El Laboratorio Nacional de Observación de la Tierra (LANOT) del Instituto de Geografía, desarrolló el algoritmo de detección de puntos de calor para monitorear incendios y quemas agropecuarias de gran extensión, en tiempo casi real, con base en imágenes del Sensor de Imágenes Avanzado (Advanced Baseline Imager, ABI) del satélite geoestacionario GOES-19 (GOES16/ABI).

Summary

Algorithm

El algoritmo categorizado como “contextual multi-umbral dinámico”, utiliza las temperaturas de brillo de la banda 7 (3.9 µm) y la diferencia entre la banda 7 (3.9 µm) y 14 (11.2 µm) en nivel de procesamiento L2, para la obtención de umbrales correspondientes a los puntos de calor.

En consideración a los problemas que deriva la obtención de umbrales por imágenes geoestacionarios (cambios de temperatura por cambios de estaciones y condiciones atmosféricas), se utiliza el valor máximo de umbrales óptimos de los diez días anteriores correspondientes a la hora de la imagen de la fecha de ejecución, para que las condiciones atmosféricas sean similares al día en cuestión.

En combinación con máscaras de cuerpos de agua, suelo desértico y manchas urbanas se obtienen los Pixeles Potenciales a puntos de calor, mismos que son sometidos a una prueba estadística de contexto para evitar los cúmulos de pixeles, quedando así los más importantes.

As a final product, hotspots are characterized with the following attributes:

Name	Description
fecha_cdmx	Date and time when the hotspot was detected, adjusted to Mexico City time UTC-6 (YYYY-MM-DD HH:MM:SS).
fecha_utc	Coordinated Universal Time (UTC) when the hotspot was detected (YYYY-MM-DD HH:MM:SS).
lat	Latitude of the hotspot, measured in degrees (epsg: 4326).
lon	Longitude of the hotspot, also measured in degrees (epsg: 4326).
satelite	Name of the satellite from which the hotspot was detected.
bt_c07	Brightness temperature of channel 7 (3.9μm), measured in Kelvin [K].
bt_c14	Brightness temperature of channel 14 (11.2μm), measured in Kelvin [K].
dif_c7-c14	Difference in brightness temperature between channel 7 and channel 14.
pais	Country where the hotspot is located.
estado	State of the country where the hotspot is located (Mexico only).
municipio	Municipality where the hotspot is located (Mexico only).
frp	Fire Radiative Power (FRP) of the hotspot, measured in megawatts [MW].
scan	Pixel size in the east-west (scan) direction in kilometers [km].
track	Pixel size in the north-south (track) direction in kilometers [km].
veg_s7_co	Vegetation type at the hotspot site, based on the INEGI Land Use and Vegetation layer, series VII, modified by CONABIO.
land_cover	Land cover type at the hotspot location, from the MODIS/Terra+Aqua Land Cover Type Yearly L3 Global product (MCD12Q1 v061). International Geosphere-Biosphere Programme (IGBP) classification scheme.
pendiente	Terrain slope at the hotspot location.
anp	Presence of the hotspot within a protected natural area (PNA).
nubosidad	Sky condition over the hotspot area at the time of detection, classified as cloudy or clear.
pc_estable	Indicates whether the hotspot is considered stable: yes or no.
tipo_pce	Type of hotspot, only if stable (oil refinery, petrochemical plant, volcano, etc.).
nombre_pce	Name assigned to the stable hotspot, if applicable.

Hotspots

Viewer

The viewer presents an initial display with the most recent hotspots, distributed over the Google Maps satellite base map whose background can be changed with the intuitive layer menu (upper right corner), where vector information (hotspots, states and natural areas), images (GOES-19/ABI and VIIRS) and base maps can be selected.

It also has a search menu (upper left corner) to make queries regarding detection dates and download results in Geojson, CSV and Shapefile formats; learn about GOES-19/ABI image information; analyze hotspot information.

Hotspots

Statistics