Abstract: Methods and systems for predicting well site production are disclosed, including a computer system comprising one or more processor and a non-transitory computer memory storing processor readable instructions that when executed by the one or more processor cause the one or more processor to receive image data of a geographic region around and including a well site; receive well site location data of a location of the well site; analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around a well site; determine pixel data of the well pad within the image data for a particular time from the well pad location data; and analyze the pixel data of the well pad for a particular time to determine a volume of flared gas based on the pixel data.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.

Abstract: Methods and systems for predicting well site production are disclosed, including a computer system comprising one or more processor and a non-transitory computer memory storing processor readable instructions that when executed by the one or more processor cause the one or more processor to receive image data of a geographic region around and including a well site; receive well site location data of a location of the well site; analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around a well site; determine pixel data of the well pad within the image data for a particular time from the well pad location data; and analyze the pixel data of the well pad for a particular time to determine a volume of flared gas based on the pixel data.

Abstract: Methods and systems for predicting well site production are disclosed, including a computer system comprising one or more processor and a non-transitory computer memory storing processor readable instructions that when executed by the one or more processor cause the one or more processor to receive image data of a geographic region around and including a well site; receive well site location data of a location of the well site; analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around a well site; determine pixel data of the well pad within the image data for a particular time from the well pad location data; and analyze the pixel data of the well pad for a particular time to determine a volume of flared gas based on the pixel data.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.

Abstract: Methods and systems for predicting well site production are disclosed, including a computer system comprising one or more processor and a non-transitory computer memory storing processor readable instructions that when executed by the one or more processor cause the one or more processor to receive image data of a geographic region around and including a well site; receive well site location data of a location of the well site; analyze well site data to determine well pad location data of a location of a well pad including an area of observation extending beyond and around a well site; determine pixel data of the well pad within the image data for a particular time from the well pad location data; and analyze the pixel data of the well pad for a particular time to determine a volume of flared gas based on the pixel data.

Abstract: A device includes an image data receiving processor, a well site data receiving processor, a zonal statistics processor and a vent flare calculator. The image data receiving processor receives image data of a geographic region around and including a well site. The well site data receiving processor receives well site location data of a location of the well site and generates well pad location data of a location of a well pad including the well site. The zonal statistics processor generates pixel data from the well pad location. The vent flare calculator calculates a volume of flared gas and based on the pixel data.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a spatial structure variance generation component, a classification component and a water budget component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a vegetation index based on the received multiband image data. The spatial structure variance generation component generates a spatial structure variance image band based on the received multiband image data. The classification component generates a land cover classification based on the received multiband image data, the vegetation index and the spatial structure variance image band. The water budget component generates a water budget of a portion of the geographic region based on the land cover classification.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a spatial structure variance generation component, a classification component and a water budget component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a vegetation index based on the received multiband image data. The spatial structure variance generation component generates a spatial structure variance image band based on the received multiband image data. The classification component generates a land cover classification based on the received multiband image data, the vegetation index and the spatial structure variance image band. The water budget component generates a water budget of a portion of the geographic region based on the land cover classification.

Abstract: A device includes an image data receiving processor, a well site data receiving processor, a zonal statistics processor and a vent flare calculator. The image data receiving processor receives image data of a geographic region around and including a well site The well site data receiving processor receives well site location data of a location of the well site and generates well pad location data of a location of a well pad including the well site. The zonal statistics processor generates pixel data from the well pad location. The vent flare calculator calculates a volume of flared gas and based on the pixel data.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a GLC matrix component, a plurality of classifying components and a voting component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a normalized difference vegetation index based on the received multiband image data. The GLC matrix component generates a grey level co-occurrence matrix image band based on the received multiband image data. The classifying components generate land cover classifications based on the received multiband image data, the normalized difference vegetation index and the grey level co-occurrence matrix image band. The voting component generates a final land cover classification based a majority vote of the land cover classifications.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a GLC matrix component, a plurality of classifying components and a voting component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a normalized difference vegetation index based on the received multiband image data. The GLC matrix component generates a grey level co-occurrence matrix image band based on the received multiband image data. The classifying components generate land cover classifications based on the received multiband image data, the normalized difference vegetation index and the grey level co-occurrence matrix image band. The voting component generates a final land cover classification based a majority vote of the land cover classifications.