Geochemical analysis of drainage basins

A computer-implemented method for determining a mineralogy of at least a portion of a drainage basin, comprising:

• identifying, by one or more hardware processors, geology data associated with a drainage basin comprising at least one body of water;
• identifying, by the one or more hardware processors, weather data associated with the drainage basin;
• identifying, by the one or more hardware processors, first sensor data associated with a first water sensor installed at a first location in the drainage basin;
• identifying, by the one or more hardware processors, second sensor data associated with a second water sensor, the second water sensor located downstream of the first water sensor at a second location in the drainage basin;
• providing the first sensor data, second sensor data, the geology data, and the weather data as inputs to a machine learning algorithm;
• determining, by the machine learning algorithm, a mineralogy of at least a portion of the drainage basin;
• and
• executing, based on the determined mineralogy of the portion of the drainage basin, a hyperspectral scan of the portion of the drainage basin.

An apparatus comprising a non-transitory computer readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• identifying geology data associated with a drainage basin comprising at least one body of water;
• identifying weather data associated with the drainage basin;
• identifying first sensor data associated with a first water sensor installed at a first location in the drainage basin;
• identifying second sensor data associated with a second water sensor, the second water sensor located downstream of the first water sensor at a second location in the drainage basin;
• providing the first sensor data, second sensor data, the geology data, and the weather data as inputs to a machine learning algorithm;
• determining, by the machine learning algorithm, a mineralogy of at least a portion of the drainage basin;
• and
• executing, based on the determined mineralogy of the portion of the drainage basin, a hyperspectral scan of the portion of the drainage basin.

A system, comprising:

• one or more processors;
• one or more tangible, non-transitory media operably connectable to the one or more processors and storing instructions that, when executed, cause the one or more processors to perform operations comprising:
• identifying geology data associated with a drainage basin comprising at least one body of water;
• identifying weather data associated with the drainage basin;
• identifying first sensor data associated with a first water sensor installed at a first location in the drainage basin;
• identifying second sensor data associated with a second water sensor, the second water sensor located downstream of the first water sensor at a second location in the drainage basin;
• providing the first sensor data, second sensor data, the geology data, and the weather data as inputs to a machine learning algorithm;
• determining, by the machine learning algorithm, a mineralogy of at least a portion of the drainage basin;
• and
• executing, based on the determined mineralogy of the portion of the drainage basin, a hyperspectral scan of the portion of the drainage basin.