Artificial intelligence system for remote sensing

A non-transitory computer readable medium comprising one or more programming instructions stored thereon, which, when executed by a processor, causes a computing system to perform operations comprising:

• receiving, by the computing system, remote sensing data for a geographical area, the remote sensing data comprising remote sensing images of the geographical area;
• converting, by the computing system, the remote sensing data into a format processable by downstream machine learning models;
• detecting, by an object detection model of the downstream machine learning models, a concentrated animal feeding operation in the remote sensing images;
• segmenting and classifying, by the computing system, components of the concentrated animal feeding operation using a semantic segmentation model of the downstream machine learning models;
• updating, by the computing system, outputs of the downstream machine learning models, the outputs comprising objects detected by the object detection model and the components classified using the semantic segmentation model;
• and
• estimating, by the computing system, a potential amount of energy yielded from the geographical area based on the concentrated animal feeding operation and the components on or around the concentrated animal feeding operation, wherein the potential amount of energy is yielded by capturing methane at the concentrated animal feeding operation and converting it to renewable gas.

A system comprising:

• a processor;
• and
• a memory having programming code stored thereon, which, when executed by the processor, causes the system to perform operations comprising:
• receiving remote sensing data for a geographical area, the remote sensing data comprising remote sensing images of the geographical area;
• converting the remote sensing data into a format processable by downstream machine learning models;
• detecting, by an object detection model of the downstream machine learning models, a concentrated animal feeding operation in the remote sensing images;
• segmenting and classifying components of the concentrated animal feeding operation using a semantic segmentation model of the downstream machine learning models;
• updating outputs of the downstream machine learning models, the outputs comprising objects detected by the object detection model and the components classified using the semantic segmentation model;
• and
• estimating a potential amount of energy yielded from the geographical area based on the concentrated animal feeding operation and the components on or around the concentrated animal feeding operation, wherein the potential amount of energy is yielded by capturing methane at the concentrated animal feeding operation and converting it to renewable gas.