Abstract: An infrared thermographic system configured to detect the temperature of an object including an infrared thermal imaging sensor arranged to collect infrared radiation and construct at least one image from the radiation and a drive support unit arranged to rotate the sensor around an axis of rotation is provided. The imaging sensor is attached to the drive support unit such that upon rotation of the drive support unit, the imaging sensor captures separate areas surrounding the thermographic system. The imaging sensor is arranged to acquire a plurality of separate images such that the combination of the different images forms a continuous panorama of at least 180 degrees about the axis of rotation of the drive support unit. A processing module arranged and/or programmed to determine temperature data of the object from the images acquired by the imaging sensor is also provided.

Abstract: The invention relates to a method for processing a sequence of top view image frames ({ItLR}t=0T) of low resolution of a same terrestrial location, each top view image frame ({ItLR}t=0T) having pixels and pixel values, comprising the following steps: choosing (S0) one top view image frame (I0LR), called reference frame (I0LR), among the top view image frames ({ItLR}t=0T), estimating (S1) motion fields (Ft?0, ME) between each top view image frame ({ItLR}t=1T) and the reference frame (I0LR) by using a first neural network (NN1), encoding (S1?) the top view image frames ({ItLR}t=1T) to produce convolutional features ({JtLR}t=1T) extracted respectively from the top view image frames ({ItLR}t=1T) by using a second neural network (NN2), aggregating (S2, S3, Shift-and-add, SPMC) pixels of the convolutional features ({JtLR}t=1T) to positions ({JtHR}t=1T) in a high resolution grid (HRG) using the motion fields (Ft?0, ME) to obtain aggregated features (JHR), decoding (S4) by a decoder network (DN) the aggregated fea

Abstract: A method for measuring a liquid volume and/or corresponding fill rate of floating roof tanks includes selecting an Area Of Interest (AOI) to be monitored at the earth's surface, gathering geographical coordinates of tanks in the AOI, and downloading and pre-processing a time series of SAR reference images covering the AOI. The method includes projecting geographical coordinates of the tanks on the time series of the images to determine pixel coordinates of the tanks, and determining tank dimensions through processing of the images at the pixel coordinates. The method includes downloading and pre-processing at least one new SAR image over the AOI and registering it on top of the reference images, and, for each tank of the AOI, detecting in the new SAR image a bright spot corresponding to the roof of the tank and converting its pixel coordinates into liquid volume and/or fill rate information.

Abstract: A method for detecting pad construction and/or drilling and/or for hydraulic fracturing of at least one hydrocarbon well, comprising the steps of: selecting at least one specified well location, obtaining at least one time series of top view images of the specified well location, in which each top view image has a date corresponding to a day of acquisition of the top view image, processing the time series of top view images to detect at least one top view image showing the apparition of a well pad and/or showing drilling activity and/or showing fracturing activity, exporting the date corresponding to the acquisition day of the top view image showing the apparition of the well pad and/or drilling activity and/or fracturing activity, providing, based on export date, an information of pad construction date and/or drilling starting date and/or fracturing starting date and/or a full production forecast for the specified well location.

Abstract: A method for measuring a liquid volume and/or corresponding fill rate of floating roof tanks includes selecting an Area Of Interest (AOI) to be monitored at the earth's surface, gathering geographical coordinates of tanks in the AOI, and downloading and pre-processing a time series of SAR reference images covering the AOI. The method includes projecting geographical coordinates of the tanks on the time series of the images to determine pixel coordinates of the tanks, and determining tank dimensions through processing of the images at the pixel coordinates. The method includes downloading and pre-processing at least one new SAR image over the AOI and registering it on top of the reference images, and, for each tank of the AOI, detecting in the new SAR image a bright spot corresponding to the roof of the tank and converting its pixel coordinates into liquid volume and/or fill rate information.

Abstract: A method for detecting pad construction and/or drilling and/or for hydraulic fracturing of at least one hydrocarbon well, comprising the steps of: selecting at least one specified well location, obtaining at least one time series of top view images of the specified well location, in which each top view image has a date corresponding to a day of acquisition of the top view image, processing the time series of top view images to detect at least one top view image showing the apparition of a well pad and/or showing drilling activity and/or showing fracturing activity, exporting the date corresponding to the acquisition day of the top view image showing the apparition of the well pad and/or drilling activity and/or fracturing activity, providing, based on export date, an information of pad construction date and/or drilling starting date and/or fracturing starting date and/or a full production forecast for the specified well location.