Systems and methods for calculating water resources using aerial imaging of crop lands

Abstract

Systems and methods for determining groundwater levels based upon crop classification are provided. A set of aerial images are collected via satellite, manned aircraft or drones. They are filtered by a time domain, and a sufficiently high-resolution image is selected. If there isn't an image with sufficient resolution, a series of lower resolution images may be combined to generate a ‘fused’ image suitable for analysis. The image is then subjected to pre-processing. Crop boundaries within the image are determined, and areas outside of the crop boundary are masked off. The resulting image is subjected to a sliding window algorithm to generate discrete “patches” of the image suitable for analysis by a trained neural network. The neural network generated a classification for the crop. This data may be combined with surface water data, precipitation data, and weather pattern data to determine groundwater levels.

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