Systems and methods are described to identify motion events on a sloped surface, such as a mountainside, using transmitted and received radio frequency (RF) chirps. A one-dimensional array of receive antennas can be digitally beamformed to determine azimuth information of received reflected chirps. Elevation information can be determined based on time-of-flight measurements of received reflected chirps and known distances to locations on the sloped surface. Motion events may be characterized by deviations in return power levels and/or return phase shifts. The systems and methods may, for example, be used to provide real-time detection of avalanches and/or landslides.

Provided are a screen display control device, a screen display control method, and a program which realize screen display reflecting dynamically changing importance. An object described above is solved by a screen display control device, a screen display control method, and a program in which a plurality of types of data that is input are acquired, importance of each of the plurality of types of data is determined, an arrangement of display of the plurality of types of data on an entire screen is decided based on the importance of each of the plurality of types of data, and the plurality of types of data are displayed on the screen in the decided arrangement.

An information providing system 100 of the present invention includes an acquisition means 121 for acquiring disaster information and acquiring user information that is information related to a user, a generation means 122 for, on the basis of the disaster information and the user information, generating provided information including a captured image that is an image obtained by capturing a predetermined place, and a providing means 123 for providing an information processing device of the user with the provided information.

An information providing system 100 of the present invention includes an acquisition means 121 for acquiring disaster information and acquiring user information that is information related to a user, a generation means 122 for, on the basis of the disaster information and the user information, generating provided information including a captured image that is an image obtained by capturing a predetermined place, and a providing means 123 for providing an information processing device of the user with the provided information.

A system and method for detecting in real-time high risk lightning (HRL) strikes and sending out alerts to responsible personnel to allow for earlier responses to lightning caused fire ignitions to help maintain and/or reduce the chance of spread by the wildfire. The system and method allow for HRL events and fire ignitions to be detected preferably within seconds. The system and method can use a network of detectors, data from environmental satellites and/or other environmental data sources, and novel AI/algorithms for signal processing to relatively quickly locate fire ignition spots. Thus, the system and method provide for actionable wildfire intelligence in real-time and to relatively quickly and accurately send out alerts when an HRL event has been determined. Cameras and drones can be used to provide real-time visualization at the location of the HRL event to verify or monitor any fire ignition or smoldering at the area of the HRL event.

A system and method for detecting in real-time high risk lightning (HRL) strikes and sending out alerts to responsible personnel to allow for earlier responses to lightning caused fire ignitions to help maintain and/or reduce the chance of spread by the wildfire. The system and method allow for HRL events and fire ignitions to be detected preferably within seconds. The system and method can use a network of detectors, data from environmental satellites and/or other environmental data sources, and novel AI/algorithms for signal processing to relatively quickly locate fire ignition spots. Thus, the system and method provide for actionable wildfire intelligence in real-time and to relatively quickly and accurately send out alerts when an HRL event has been determined. Cameras and drones can be used to provide real-time visualization at the location of the HRL event to verify or monitor any fire ignition or smoldering at the area of the HRL event.

The invention relates to a luminaire network comprising a plurality of luminaires as well as a central unit, and comprising a central communication unit. A plurality of luminaires in the network comprises a communication unit configured to make it possible for the luminaires to communicate with each other and/or with the central communication unit, as well as a control unit configured to control the luminaire as well as the communication unit. The central unit comprises information about the location of the luminaires. A plurality of the luminaires in the luminaire network further comprise at least one sensor which can sense information relating to the environment of the luminaire, wherein the communication unit of said luminaires is configured to send messages relating to the sensed information to the central communication unit, and the central unit is configured to analyze the received messages and to output the results of the analysis.

The invention relates to a luminaire network comprising a plurality of luminaires as well as a central unit, and comprising a central communication unit. A plurality of luminaires in the network comprises a communication unit configured to make it possible for the luminaires to communicate with each other and/or with the central communication unit, as well as a control unit configured to control the luminaire as well as the communication unit. The central unit comprises information about the location of the luminaires. A plurality of the luminaires in the luminaire network further comprise at least one sensor which can sense information relating to the environment of the luminaire, wherein the communication unit of said luminaires is configured to send messages relating to the sensed information to the central communication unit, and the central unit is configured to analyze the received messages and to output the results of the analysis.

Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.

Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.