PYROGEO is a software infrastructure and product suite designed to facilitate the visualization and understanding of forest fire dynamics worldwide. PYROGEO analyzes NOAA VIIRS sensor images while incorporating other geospatial data to create information-rich products.
PYROGEO wildfire monitoring
PYROGEO produces dynamic and contextualized representations of the evolution of wildfires through animations showing not only their intensity several times a day, but also the presence of clouds and the amount of rainfall received. Cloud visualization helps identify where and when fires could not be observed by satellites (“we know what we don't know”). The amount of rainfall provides information on the reasons for a slowdown or the extinction of a fire. PYROGEO also presents the burn scar (burned area) which gradually expands over the days. Also, we remove "false fires" caused by industrial emissions. Opposite, an example of an animation showing a group of wildfires in 2023 to the NE of Senneterre (Quebec, Canada). Visit our wildfire page to view other examples and obtain further information."
Acquisition frequency
of NOAA's VIIRS images
It is crucial to know the frequency of acquisition of images used for forest fire monitoring. Using PYROGEO , we compiled data from NOAA's VIIRS ( Visible Infrared Imaging Radiometer Suite ) sensors to calculate the average daily image acquisition frequency. This frequency having increased by 50% since January 2024, thanks to the addition of the new NOAA 21 platform, the probability of detecting forest fires even when frequent cloudy periods occur is greatly increased.
Opposite, a map of daily VIIRS image frequencies produced by PYROGEO over a period of 5 days (from April 23 to 27, 2024).
The pricing of our products in geospatial format will soon be released.
Dates and times of VIIRS images
PYROGEO also produces vector maps giving the date and time of acquisition of VIIRS images at any location and over any period (from 2011 to today). These vector maps made up of hexagonal cells approximately 18 km wide and accompanied by attributes show at what times of the day the images were acquired.
Opposite, a list of VIIRS acquisitions for a cell located in northern Alberta (Canada). The local time appears in the lst_datetime column (the list is truncated in the illustration).
The pricing of our products in geospatial format will soon be released.
Forecast dates and times of future VIIRS image acquisitions
PYROGEO has the capability not only to model the future trajectories of the three satellites equipped with a VIIRS sensor, but also their upcoming swaths (footprint), extending approximately two weeks from the current timeframe. When combined with weather forecasts, these capabilities enable us to anticipate the likelihood of observing active fires or detecting new ones in the forthcoming hours or days. Stay tuned for further updates, as more details will be announced here soon.
Opposite, a simplified map of the modeled trajectories of the three satellites carrying a VIIRS sensor produced using PYROGEO for a given day. Note that the predicted swaths are not shown here.
The pricing of our products in geospatial format will soon be released.
Products and Pricing
The pricing of our products in geospatial format will soon be released here.
Academic prices for research institutions on request.
Contact sales at info@geophoton.ca