An infrared (IR) imaging system for determining a concentration of a target species in an object is disclosed. The imaging system can include an optical system including a focal plane array (FPA) unit behind an optical window. The optical system can have components defining at least two optical channels thereof, said at least two optical channels being spatially and spectrally different from one another. Each of the at least two optical channels can be positioned to transfer IR radiation incident on the optical system towards the optical FPA. The system can include a processing unit containing a processor that can be configured to acquire multispectral optical data representing said target species from the IR radiation received at the optical FPA. One or more of the optical channels may be used in detecting objects on or near the optical window, to avoid false detections of said target species.

A system for airborne remote sensing comprises an array of remote sensing devices configured for being towed by an aircraft. Each of the array of remote sensing devices is configured for lateral separation in flight, to provide a large coverage area than any of the array of remote sensing devices can cover by itself. Onboard electronics comprise sensors, such as a forward imaging infrared camera for capturing data in flight. By analyzing the data collected by the remote sensing system, various types of information can be generated, such as hydrocarbon leak detection.

A method of measuring the concentration of a gas in a target environment using a laser lidar system, comprises directing a laser beam towards an environment containing the gas, tuning the laser wavelength over a wavelength range including the absorption line of the gas, and measuring intensity of laser light returned from the environment containing the gas, as a result of scattering as a function of time. The intensity vs time is then converted into gas absorption vs wavelength, and the gas absorption vs wavelength is used to determine the concentration of the gas in the target environment

A gas detector detects difluoromethane present in a remote target space. The gas detector includes a detection portion that detects the difluoromethane by using absorption of light of a predetermined wavelength. The predetermined wavelength is in a wavelength range of any of a first wavelength range of 1659 to 1673 nm, a second wavelength range of 1724 to 1726 nm, a third wavelength range of 2218 to 2221 nm, a fourth wavelength range of 2463 to 2466 nm, a fifth wavelength range of 3316 to 3318 nm, and a sixth wavelength range of 9034 to 9130 nm.

This invention relates to a method of and system for facilitating detection of a particular predetermined gas in a scene under observation. The gas in the scene is typically associated with a gas leak in equipment. To this end, the system comprises an infrared camera arrangement; a strobing illuminator device having a strobing frequency matched to a frame rate of the camera; and a processing arrangement. The processing arrangement is configured to store a prior frame obtained via the infrared camera arrangement; and compare a current frame with the stored prior frame and generate an output signal in response to said comparison. The system also comprises a display device configured to display an output image based at least on the output signal generated by the processing arrangement so as to facilitate detection of the particular predetermined gas, in use.

An apparatus for producing an infrared spectrum according to one example of the present disclosure includes: a toxic chemical gas and background infrared spectrum acquisition portion of acquiring a background of a target area and an infrared spectroscopic signal of a gas contaminant plume existing in the background; and a toxic chemical gas infrared spectrum generation portion of training a Generative Adversarial Network (GAN) using acquired background radiation intensity data as learning data, and automatically generating a toxic chemical gas simulation infrared spectrum signal according to an environment setting inputted from a user using a learned GAN. According to the present disclosure, there is an effect that an infrared spectrum of atmosphere contaminated by a toxic chemical gas may be acquired without outdoor experiments using a real toxic chemical gas.

An environmental emission monitoring system may include satellites configured to sense GHG emissions data for an AOI, and a server. The server may be configured to obtain the sensed GHG emissions data from the satellites, obtain geospatial positions of stationary GHG emitting point sources within the AOI, and generate expected stationary GHG emission data for the stationary GHG emitting point sources within the AOI and based upon the geospatial positions. The server may also be configured to obtain geospatial path data for GHG emitting vehicles moving within the AOI, generate expected vehicle GHG emission data for the GHG emitting vehicles moving within the AOI and based on the geospatial path data, and compare a sum of the expected stationary GHG emission data and expected vehicle GHG emission data with the sensed GHG emissions data to identify any stationary GHG emitting point source and any GHG emitting vehicle outside of a respective GHG emission threshold.

The invention relates to a system for monitoring an airspace for an extensive area, with at least two optical sensors with a passive Fourier transform infrared spectrometer, wherein each optical sensor has an adjustable monitoring range and wherein the monitoring ranges of the at least two optical sensors overlap at least in sections, having a server for evaluating the measurement data and for controlling the at least two optical sensors, the server being set up to monitor the optical sensors for automatic scanning of the monitored areas, wherein the server assigns a respective solid angle to the measurement data on the basis of the position data of the optical sensor, evaluates the measurement data of the optical sensors to derive the spectral intensity distribution of the received IR radiation for each solid angle and, by means of correlation of the intensity distribution with known gas spectra, to identify at least one target substance, in the event of an incident, if a first optical sensor identifies a target substance in a first solid angle, to control at least one further optical sensor, to scan the overlap region with the monitoring region of the first optical sensor, to identify the target substance from the measurement data of the at least one further optical sensor and, in the event of an incident, to control at least one further optical sensor, to scan the overlap region with the monitoring region of the first optical sensor, to identify the target substance from the measurement data of the at least one further optical sensor, identifying at least one further solid angle with an infrared signal of the target substance, and determining the coordinates of the overlap region with increased concentration of the target substance from the solid angle information of the first solid angle and of the at least one further solid angle, wherein the measurement signals of the at least one further optical sensor in spatial directions with too small a measurement radius are not included in the evaluation.

A combined capability sensor includes a first laser source and a second laser source. The first laser source is configured to emit light having a wavelength in at least one of an infrared spectrum and a visible spectrum and the second laser source is configured to emit light having a wavelength in a blue or ultraviolet spectrum. A director is configured to direct the first and second laser source to a detection zone. A first sensor is configured to detect scattered light originating from the first laser source, thereby detecting a presence of smoke in the detection zone. A second sensor is configured to detect fluoresced light originating from the second laser source, thereby detecting a presence of a biological agent in the detection zone.

The present disclosure refers to a system for monitoring emissions. The system comprises an appliance with a mobile emission monitoring platform configured to identify and quantify a gas emission; an optional rangefinder configured to determine a size of a gas emission plume and a velocity of the gas emission plume; and an imaging device configured to provide an image. The appliance is mounted to an extendable mast on, for example, a trailer such that the system may provide mobile and continuous monitoring of emissions.