Spatial characterization of remotely sensed soil moisture data using self organizing feature maps

Compact characterization of soil moisture at a given scale using self-organizing feature maps is presented. The authors find that as few as 49 neurons capture the spatial structure of remotely sensed soil moisture images from the southern Great Plains. Average latent heat flux computed from the original image of 21204 pixels and from 49 neurons are comparable.