Systems and methods are disclosed to downscale the resolution of a coarse-resolution soil moisture data. Coarse-resolution soil moisture data may include data cells that each represent a geographic region having at least one dimension greater than or equal to 1 km. A plurality of fine-resolution supplemental soil moisture data may be received that includes at least one of soil data, vegetation data, topography data, and climate data. The fine-resolution supplemental soil moisture data comprising data cells that each represent a geographic region having at least one dimension less than or equal to 100 meters. The coarse-resolution soil moisture data may be downscaled to fine-resolution soil moisture data using the plurality of fine-resolution supplemental soil moisture data, the fine-resolution soil moisture data comprising data cells that each represent a geographic region having at least one dimension less than 100 meters.

One example includes an aircraft navigation system associated with an aircraft. The system includes a radio receiver configured to receive a radio signal that propagates from a remote transmitter through a portion of atmosphere to the aircraft. The system also includes an occultation processor configured to process the radio signal to determine a hazardous characteristic of the portion of the atmosphere through which the radio signal propagates. The system further includes an inertial navigation system (INS) configured to detect an intended flight path through the portion of the atmosphere and to provide a warning alarm in response to a determination of the intended flight path through the portion of the atmosphere comprising the determined hazardous characteristic.

One example includes an aircraft navigation system associated with an aircraft. The system includes a radio receiver configured to receive a radio signal that propagates from a remote transmitter through a portion of atmosphere to the aircraft. The system also includes an occultation processor configured to process the radio signal to determine a hazardous characteristic of the portion of the atmosphere through which the radio signal propagates. The system further includes an inertial navigation system (INS) configured to detect an intended flight path through the portion of the atmosphere and to provide a warning alarm in response to a determination of the intended flight path through the portion of the atmosphere comprising the determined hazardous characteristic.

A remote location monitoring system, for example, a home monitoring or weather monitoring system may include one or more sensors and/or receivers at a remote location such as a residence or business to be monitored. The sensors and receivers may communicate with a central server via a gateway device, and may be controlled by users locally or remotely via the server. Users may register to receive remote notifications of weather events and other home monitoring events. Users may also access remotely sensors and receivers to configure alerts, notifications, and automatic responses for the devices and integrated appliances at the remote location.

A remote location monitoring system, for example, a home monitoring or weather monitoring system may include one or more sensors and/or receivers at a remote location such as a residence or business to be monitored. The sensors and receivers may communicate with a central server via a gateway device, and may be controlled by users locally or remotely via the server. Users may register to receive remote notifications of weather events and other home monitoring events. Users may also access remotely sensors and receivers to configure alerts, notifications, and automatic responses for the devices and integrated appliances at the remote location.

Provided is a technique for specifying a medium more simply. A medium sensor device includes an antenna, a storage unit that stores a medium identification table in which a medium corresponding to an antenna impedance has been determined beforehand, and a medium specification unit that specifies the impedance of the antenna and specifies a medium in the vicinity of the antenna by referring to the medium identification table.

A watchtower vehicle, including: a top plate engaged with a top of a vehicle; an extendable boom, with a first end thereof engaged with the top plate, wherein the extendable boom is allowed to be inclined from a vertical axis of the top plate within a first angle range; a main sensor mounting unit, engaged with a second end of the extendable boom, for mounting at least one sensor thereon, wherein the main sensor mounting unit is allowed to be inclined from a longitudinal axis of the extendable boom within a second angle range; a sensor module unit including the sensor mounted on the main sensor mounting unit; and a control module for controlling or supporting another module to control at least one of the extendable boom within the first angle range and the main sensor mounting unit within the second angle range.

A watchtower vehicle, including: a top plate engaged with a top of a vehicle; an extendable boom, with a first end thereof engaged with the top plate, wherein the extendable boom is allowed to be inclined from a vertical axis of the top plate within a first angle range; a main sensor mounting unit, engaged with a second end of the extendable boom, for mounting at least one sensor thereon, wherein the main sensor mounting unit is allowed to be inclined from a longitudinal axis of the extendable boom within a second angle range; a sensor module unit including the sensor mounted on the main sensor mounting unit; and a control module for controlling or supporting another module to control at least one of the extendable boom within the first angle range and the main sensor mounting unit within the second angle range.

In the present invention, when a road surface condition is determined based on information acquired by a camera installed in a vehicle, a route of a host vehicle is predicted and the is determined. A road surface condition determination method and device determines a road surface condition of a predicted route based on information acquired by a camera installed in a host vehicle. A controller predicts a route of the host vehicle by determining a road surface friction coefficient of the predicted route based on information acquired by the camera. The determining of the road surface friction coefficient of the predicted route includes: dividing an ahead-of-vehicle image acquired by the camera in a left-right direction and determining a road surface condition for each of the determination areas, and determining the road surface friction coefficient in the determination areas through which the predicted route will pass.

A method of generating an aggregate forecast includes obtaining historical forecasts for a number of time steps and at least one location, obtaining historical conditions for the time steps and the at least one location, training a machine learning algorithm to produce an aggregate historical forecast in response to the historical conditions and the historical forecasts, and producing an aggregate current forecast by running the trained machine learning algorithm on current forecasts. The historical forecasts and the current forecasts vary in at least one of spatial resolution or temporal resolution, and include a first forecast that is valid for a first time step and a second forecast that is valid for a second time step.