High resolution land cover (HRLC)

A system comprising:

• a memory storage;
• and
• a processing unit coupled to the memory storage, wherein the processing unit is operative to:
• receive a first image of a scene;
• receive a plurality of second images of the scene taken over a period of time;
• perform a segmentation of the first image;
• perform a plurality of transformations on the plurality of second images;
• create a temporal stack layer for a plurality of temporal statistics for each of the plurality of transformations on the plurality of second images;
• intersect the temporal stack layer with the segmented first image using a plurality of spatial statistics, relative to segments of the segmented first image, to produce a plurality of spatio-temporal layers;
• and
• use a Machine Learning (ML) model on the plurality of spatio-temporal layers to classify pixels of the first image into respective ones of a plurality of classifications.

A non-transitory computer-readable medium that stores a set of instructions which when executed perform a method executed by the set of instructions comprising:

• receiving a first image of a scene;
• receiving a plurality of second images of the scene taken over a period of time;
• performing a segmentation of the first image;
• performing a plurality of transformations on the plurality of second images;
• creating a temporal stack layer for a plurality of temporal statistics for each of the plurality of transformations on the plurality of second images;
• intersecting the temporal stack layer with the segmented first image using a plurality of spatial statistics, relative to segments of the segmented first image, to produce a plurality of spatio-temporal layers;
• and
• using a Machine Learning (ML) model on the plurality of spatio-temporal layers to classify pixels of the first image into respective ones of a plurality of classifications.