Abstract: Methods, systems, and computer programs are presented for providing a user interface for fire management. One method includes an operation for estimating, by a fire management system, a fire state in a region and a forecast of an evolution of a fire at multiple times. The fire management program provides a user interface presenting fire information based on the estimated fire state and the forecast. The user interface includes a map of the region, a graphical representation of the fire information, and a time bar for selecting a time for the fire information. Additionally, the method includes an operation for receiving, via the user interface, a selection of the time for the fire information. The selected time is one of a past time, a present time, or a future time. The fire management program presents in the user interface the fire information for the selected time.

Abstract: Methods, systems, and computer programs are presented for tools for fire monitoring. One method includes an operation for receiving, by a fire forecasting program, fire-related inputs including vegetation data, topography data, weather data, and fire-monitoring information. The fire-monitoring information includes the shape of fire burning in a region. Additionally, the method includes an operation for generating a fire forecast for the region based on the fire-related inputs. The fire forecast describes a state of the fire in the region at multiple times in the future, the state of the fire comprising a fire perimeter, a fire line intensity, and a flame height. Additionally, the method includes operations for receiving updated fire-monitoring information regarding a current state of the fire in the region, for modifying the fire forecast based on the updated fire-monitoring information, and for causing presentation of the fire forecast in a user interface.

Abstract: Tools for fire monitoring are presented. One method includes an operation for accessing values of features for monitoring a fire in a region. The features include satellite images at a first resolution, vegetation information, and weather data. Further, each satellite image includes first cells associated with the geographical region and the first resolution defines a first size of each first cell. The method further includes generating a map of the geographical region comprising a plurality of second cells having a second size, which is smaller than the first size. Additionally, the method includes operations for estimating, using a machine-learning model, probability values for the second cells in the map based on the features, each probability value indicating if the second cell contains an active fire, and for updating the map based on the probability values for the second cells. The map is presented in a user interface.