Systems and methods for soil mapping
OwnerTravis Godwin GOOD, Austin Caulfield ROTHWELLinventors
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Abstract
Systems and methods for training a soil mapping model are provided, as well as systems and methods for generating soil maps with such trained soil mapping models. The soil mapping models predict soil characteristics (e.g. carbon content) across an area of interest. The training method can involve refining the parameters of a soil map model by estimating the soil mapping model's uncertainty at various locations across an area of interest, selecting relatively high-uncertainty areas, identifying sampling locations within those areas for further samples to be collected, and further training the parameters of the soil mapping model based on the newly-collected samples.
Claims27
A method for training a soil mapping model, the method performed by a processor and comprising:
- training a set of initial parameters for a soil mapping model relating one or more soil characteristics to one or more covariates over an area of interest based on an initial training dataset;
- determining an uncertainty map for the soil mapping model over at least a portion of the area of interest based on the initial parameters, the uncertainty map mapping each of a plurality of locations in the area of interest to a measure of uncertainty in at least one of the one or more soil characteristics;
- determining one or more sampling locations in the area of interest based on the uncertainty map;
- receiving one or more sample measurements corresponding to the one or more sampling locations;
- and
- refining the set of initial parameters of the soil mapping model based on the one or more sample measurements to generate a first set of refined parameters for the soil mapping model.
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Dependencies are inferred from the claim text.