Aspects of the subject disclosure may include, for example, a surveying system operable to receive a plurality of electromagnetic waves via a guided wave transceiver that include environmental data collected via a plurality of sensors at a plurality of remote sites. Weather pattern data is generated based on the environmental data. Other embodiments are disclosed.

A sensor system is disclosed that includes a plurality of sensors, a deployment system for deploying the sensors, a control and charging system for receiving sensor data and optionally charging the batteries within the sensors, and one or more algorithms employed by the sensor system for processing, analyzing, and otherwise using data received by the plurality of sensors.

Systems, devices, and methods including a processor having addressable memory, where the processor is configured to: determine one or more flight paths for an aerial vehicle, where the determined flight path creates a continuous surface about one or more potential gas sources of a survey site; receive a trace gas data from one or more trace gas sensors of the aerial vehicle of the continuous surface as the aerial vehicle flies the determined one or more flight paths; and determine based on the received trace gas data whether a gas leak is present in the received survey site and a rate of the gas leak if present in the survey site.

An atmospheric measurement device includes an atmospheric probe having an aerodynamical profile defined by an outer surface, a plurality of ports extending through the outer surface and an inner surface of the atmospheric probe, and a plurality of pressure sensors. Each pressure sensor of the plurality of pressure sensors positioned within the atmospheric probe and adjacent a respective one of the plurality of ports. Each pressure sensor of the plurality of pressure sensors is configured in sealing engagement with the respective one of the plurality of ports.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining drone-based water measurements. One of the methods includes receiving, by a drone management system that controls a drone that is configured to collect water samples, data from a simulator that generates simulation data associated with a body of water; receiving, by the drone management system, an indication that the drone is available to collect one or more water samples from the body of water; determining, by the drone management system and based on the data from the simulator, one or more locations associated with the body of water at which the drone is to collect one or more respective water samples; and; transmitting, by the drone management system, the one or more locations associated with the body of water to the drone.

Systems, devices, and methods including a processor having addressable memory, the processor configured to: receive a trace-gas data packet, where the trace-gas data packet comprises a trace-gas concentration data from a trace-gas sensor and a location data for the trace-gas sensor from a location sensor, where the location data for the trace-gas sensor comprises a trajectory of the trace-gas sensor in space; receive at least one Meteorological data packet from one or more weather stations, where each weather station is distal from the trace-gas sensor, where each weather station generates a corresponding Meteorological data packet, where each Meteorological data packet comprises weather data; combine the trace-gas data packet with a selected spatial and temporal Meteorological data packet; and determine a trace-gas emission rate of a trace-gas source based on the combined trace-gas data packet and the selected Meteorological data packet.

A method for optimizing performance of a wind farm having at least one wind turbine includes maneuvering a first unmanned aerial vehicle (UAV) having at least one sensor to a first location near the at least one wind turbine of the wind farm; collecting, via the at least one sensor of the first UAV, data corresponding to one or more wind conditions at the at least one wind turbine; receiving the data corresponding to the one or more wind conditions at the at least one wind turbine via a controller; generating a control action for the at least one wind turbine using the data corresponding to the one or more wind condition at the at least one wind turbine; and implementing, via the controller, the control action.

Systems, devices, and methods including a processor having addressable memory, the processor configured to: receive an unmanned aerial vehicle (UAV) data packet, where the UAV data packet comprises methane concentration data and UAV information from a UAV flight path; receive at least one Meteorological data packet, where the Meteorological data packet comprises weather data; combine the UAV data packet with a nearest Meteorological data packet; and determine a methane emission rate of a methane source based on the combined UAV data packet and the nearest Meteorological data packet.