PONDING WATER DETECTION ON SATELLITE IMAGERY

摘要

A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland. A class for each pixel is then determined that maximizes the joint probability over the graph.

主权项

1. A method comprising:
a computer system receiving image data of a field comprising a plurality of pixels, precipitation data for the field indicating one or more amounts of rainfall over one or more regions of the field, elevation data indicating one or more elevations over the one or more regions of the field, and soil property data indicating one or more properties of soil found across the one or more regions of the field; the computer system using a classifier that has been trained to identify water pixels to estimate a probability of representing water for each pixel of the plurality of pixels; the computer system running a flow simulation over the field based on the precipitation data, the elevation data, and the soil property data to identify a set of pixels within the image data that are likely to have ponding water after the rainfall; the computer system determining a class for each pixel of the plurality of pixels indicating whether the pixel represents ponding water based on the probability of representing water for each pixel of the plurality of pixels and the set of pixels within the image data that are likely to have ponding water after the rainfall; the computer system generating an alert based on the determination of the class for each pixel of the plurality of pixels.