The land cover confidence is the measure of confidence that the annual NLCD land cover label matches the training data.
Caption: Annual NLCD land cover confidence product provides the level of confidence that Annual NLCD land cover class per pixel values that matches the training data.
Annual NLCD land cover product generation strongly relies on supervised classification that is implemented with a series of deep learning models. The final result from the system is a discrete probability distribution across the output classes. The land cover confidence product provides the probability value for the final output land cover class. The values range from low (1) to high (100) model confidence.
Data Access
Information about data access is available on the USGS Annual NLCD Data Access page.
Documents
Additional information on Annual NLCD and Annual NLCD science products can be found in the Science User Product Guide.
Annual NLCD Citation Information
Annual NLCD has no restrictions on the use of science products. Annual NLCD does ask that if you use the data as part of a publication or presentation that use the following citation below; however, it is not a requirement to use the data.
U.S. Geological Survey (USGS), 2024, Annual NLCD Collection 1 Science Products: U.S. Geological Survey data release, https://doi.org/10.5066/P94UXNTS
