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National Land Cover Database 2011 (NLCD2011)

Product Data Downloads

NOTE: NLCD 2001 (2011 Edition) and NLCD 2006 (2011 Edition) products must be used in any comparison of NLCD 2001, NLCD 2006 and NLCD 2011 data products.

NLCD is re-releasing the 2011 product suite. The re-release contains a small change to only developed classes so that they directly align with the impervious products. Previous minimum mapping unit processing changed this direct link and the associated change comparisons in some areas. All products and eras have been harmonized and updated with a publication date of October 10, 2014.


NLCD 2011 Conterminous United States

    NLCD 2011 NLCD 2011 Land Cover (1.1Gb)
    The 2011 land cover layer for the conterminous United States for all pixels.
    NLCD 2011 NLCD 2001 to 2011 Land Cover Change (169MB)
    Land cover layer containing only those pixels identified as changed between NLCD 2001 Land Cover 2011 Edition and NLCD2011 Land Cover products across the conterminous United States. This layer contains less overall change than the sum of 2001/2006 and 2006/2011 Land cover change pixels as some change transitioned through two classes from 2001 to 2006 to 2011 . In this case, the latest change class is given.
    NLCD 2011 NLCD 2006 to 2011 Land Cover Change (128MB)
    Land cover layer containing only those pixels identified as changed between NLCD 2006 Land Cover 2011 Edition and NLCD2011 Land Cover products across the conterminous United States.
    NLCD 2011 NLCD 2001 to 2011 Land Cover from to Change Index (1.4 GB)
    A raster layer of NLCD 2001 to 2011 (2011 Edition) change pixels identifying a from and to land cover class index value label for each pixel in the conterminous United States based on a matrix for all possible land cover class label change combinations. This is the combined product of both the NLCD 2001/2006 from-to and the NLCD 2006/2011 from-to. Overall combined change rate will be lower than the sum of the separate products because some change occurs twice in the same pixel. In this case, the most recent landcover class is the one represented.

    NLCD 2011 NLCD 2006 to 2011 Land Cover from to Change Index (1.4 GB)
    A raster layer of NLCD 2006 to 2011 (2011 Edition) change pixels identifying a from and to land cover class index value label for each pixel in the conterminous United States based on a matrix for all possible land cover class label change combinations.
    NLCD 2011 NLCD 2011 USFS Tree Canopy analytical (10.4 GB)
    The U.S. Forest Service analytical canopy product is designed for users that require more analytical vigor in their applications. This product has two layers: percent tree canopy cover (layer one) and standard error (layer two). For layer one, the percent tree canopy cover layer, the file pixel values range from 0 to 100 percent, with each individual value representing the area or proportion of that 30m cell covered by tree canopy. No masking of obvious non-tree areas is performed for this product. For layer two, the standard error layer, the file pixel values range from 0 to 45 percent, with each individual value representing the standard error for the model in that 30m cell. The higher the value, the greater the model uncertainty in estimating the canopy value for that cell. The percent tree canopy cover layer was produced using a Random Forests (trademarked by Leo Breiman and Adele Cutler) regression algorithm and the standard error layer was calculated from the variance of the canopy cover estimates from the random forest regression trees. This mapping methodology is different from the previous NLCD 2001 canopy product, which results in a current product that is not designed to be comparable to NLCD 2001 canopy for change detection.

    NLCD 2011 NLCD 2011 USFS Tree Canopy cartographic (3.2 GB)
    The U.S. Forest Service cartographic canopy product is designed for the standard user who requires the single best representation of tree canopy designed for most applications. This product consists of a single layer, percent tree canopy cover, with file pixel values ranging from 0 to 100 percent, with each individual value representing the area or proportion of that 30m cell covered by tree canopy. The product is then filtered and masked to eliminate obvious non-tree areas, and to create a more cartographically useful product. Although this approach more closely resembles the NLCD 2001 tree canopy protocol, the products still used different mapping methods and are not designed to be directly comparable for change analysis. The percent tree canopy cover layer was produced using a Random Forests (trademarked by Leo Breiman and Adele Cutler) regression algorithm.

    NLCD 2011 NLCD 2011 Percent Developed Imperviousness (741MB)
    The 2011 percent developed imperviousness layer for the conterminous United States for all pixels.
    NLCD 2011 NLCD 2006 to 2011 Percent Developed Imperviousness Change (66MB)
    Contains the difference in percent developed imperviousness pixels that changed between NLCD 2006 percent developed imperviousness (2011 Edition), and NLCD 2011 percent developed imperviousness.

NLCD 2011 Alaska

    For Alaska, because of the short growing season and scarcity of cloud-free imagery, the extent of snow, ice, water and their associated change reflects the change between the year and season when the imagery was recorded. The differences in snow, ice, and water extent between 2001 and 2011 may not reflect true perennial changes, but may simply reflect seasonal change between the available imagery.

    NLCD 2011 NLCD 2011 Land Cover (249 MB)
    The 2011 land cover layer for Alaska for all pixels.
    NLCD 2011 NLCD 2001 to 2011 Land Cover Change (27 MB)
    Land cover layer containing only those pixels identified as changed between NLCD 2001 Land Cover 2011 Edition and NLCD2011 Land Cover products across Alaska.
    NLCD 2011 NLCD 2001 to 2011 Land Cover from to Change Index (318 MB)
    A raster layer of NLCD 2001 to 2011 change pixels identifying a from and to land cover class index value label for each pixel in Alaska based on a matrix for all possible land cover class label change combinations.

    NLCD 2011 NLCD 2011 Percent Developed Imperviousness Zone 8 (1.1 KB)
    The 2011 percent developed imperviousness layer for Alaska for all pixels.
    NLCD 2011 NLCD 2001 to 2011 Percent Developed Imperviousness Change Zone 8 (373 KB)
    Contains the difference in percent developed imperviousness pixels that changed between NLCD 2001 percent developed imperviousness, and NLCD 2011 percent developed imperviousness.
    AK NLCD 2011 NLCD 2011 USFS Tree Canopy analytical (262 MB)
    The U.S. Forest Service analytical canopy product is designed for users that require more analytical vigor in their applications. This product has two layers: percent tree canopy cover (layer one) and standard error (layer two). For layer one, the percent tree canopy cover layer, the file pixel values range from 0 to 100 percent, with each individual value representing the area or proportion of that 30m cell covered by tree canopy. No masking of obvious non-tree areas is performed for this product. For layer two, the standard error layer, the file pixel values range from 0 to 45 percent, with each individual value representing the standard error for the model in that 30m cell. The higher the value, the greater the model uncertainty in estimating the canopy value for that cell. The percent tree canopy cover layer was produced using a Random Forests (trademarked by Leo Breiman and Adele Cutler) regression algorithm and the standard error layer was calculated from the variance of the canopy cover estimates from the random forest regression trees. This mapping methodology is different from the previous NLCD 2001 canopy product, which results in a current product that is not designed to be comparable to NLCD 2001 canopy for change detection.

    AK NLCD 2011 NLCD 2011 USFS Tree Canopy cartographic (87 MB)
    The U.S. Forest Service cartographic canopy product is designed for the standard user who requires the single best representation of tree canopy designed for most applications. This product consists of a single layer, percent tree canopy cover, with file pixel values ranging from 0 to 100 percent, with each individual value representing the area or proportion of that 30m cell covered by tree canopy. The product is then filtered and masked to eliminate obvious non-tree areas, and to create a more cartographically useful product. Although this approach more closely resembles the NLCD 2001 tree canopy protocol, the products still used different mapping methods and are not designed to be directly comparable for change analysis. The percent tree canopy cover layer was produced using a Random Forests (trademarked by Leo Breiman and Adele Cutler) regression algorithm.

NLCD 2011 Hawaii

    For Hawaii, circa 2011 land cover and land cover change data only are provided by our MRLC partner, NOAA, through their Coastal Change Analysis Program (C-CAP) website. For 2011 these data are based upon high resolution (1 to 5 meter) aerial and satellite imagery only.
     
    NOAA 2011 High Resolution Land Cover NOAA 2011 High Resolution Land Cover
    Circa 2011 land cover layer for the Hawaiian Islands for all pixels at 1 to 5 meter resolution. First, select Hawaii from the dropdown menu, and then click on the 'High Resolution' tab to select a product for download.
    NOAA 2005 to 2011 High Resolution Land Cover Change NOAA 2005 to 2011 High Resolution Land Cover Change
    Land cover layer containing only those pixels identified as changed between NOAA's 2005 and 2011 high resolution land cover. First, select Hawaii from the dropdown menu, and then click on the 'High Resolution Change' tab to select a product for download.
    HI NLCD 2011 NLCD 2011 USFS Tree Canopy analytical (28 MB)
    The U.S. Forest Service analytical canopy product is designed for users that require more analytical vigor in their applications. This product has two layers: percent tree canopy cover (layer one) and standard error (layer two). For layer one, the percent tree canopy cover layer, the file pixel values range from 0 to 100 percent, with each individual value representing the area or proportion of that 30m cell covered by tree canopy. No masking of obvious non-tree areas is performed for this product. For layer two, the standard error layer, the file pixel values range from 0 to 45 percent, with each individual value representing the standard error for the model in that 30m cell. The higher the value, the greater the model uncertainty in estimating the canopy value for that cell. The percent tree canopy cover layer was produced using a Random Forests (trademarked by Leo Breiman and Adele Cutler) regression algorithm and the standard error layer was calculated from the variance of the canopy cover estimates from the random forest regression trees. This mapping methodology is different from the previous NLCD 2001 canopy product, which results in a current product that is not designed to be comparable to NLCD 2001 canopy for change detection.

    HI NLCD 2011 NLCD 2011 USFS Tree Canopy cartographic (10 MB)
    The U.S. Forest Service cartographic canopy product is designed for the standard user who requires the single best representation of tree canopy designed for most applications. This product consists of a single layer, percent tree canopy cover, with file pixel values ranging from 0 to 100 percent, with each individual value representing the area or proportion of that 30m cell covered by tree canopy. The product is then filtered and masked to eliminate obvious non-tree areas, and to create a more cartographically useful product. Although this approach more closely resembles the NLCD 2001 tree canopy protocol, the products still used different mapping methods and are not designed to be directly comparable for change analysis. The percent tree canopy cover layer was produced using a Random Forests (trademarked by Leo Breiman and Adele Cutler) regression algorithm.

Puerto Rico

    PR NLCD 2011 NLCD 2011 USFS Tree Canopy analytical (18 MB)
    The U.S. Forest Service analytical canopy product is designed for users that require more analytical vigor in their applications. This product has two layers: percent tree canopy cover (layer one) and standard error (layer two). For layer one, the percent tree canopy cover layer, the file pixel values range from 0 to 100 percent, with each individual value representing the area or proportion of that 30m cell covered by tree canopy. No masking of obvious non-tree areas is performed for this product. For layer two, the standard error layer, the file pixel values range from 0 to 45 percent, with each individual value representing the standard error for the model in that 30m cell. The higher the value, the greater the model uncertainty in estimating the canopy value for that cell. The percent tree canopy cover layer was produced using a Random Forests (trademarked by Leo Breiman and Adele Cutler) regression algorithm and the standard error layer was calculated from the variance of the canopy cover estimates from the random forest regression trees. This mapping methodology is different from the previous NLCD 2001 canopy product, which results in a current product that is not designed to be comparable to NLCD 2001 canopy for change detection.

    PR NLCD 2011 NLCD 2011 USFS Tree Canopy cartographic (5 MB)
    The U.S. Forest Service cartographic canopy product is designed for the standard user who requires the single best representation of tree canopy designed for most applications. This product consists of a single layer, percent tree canopy cover, with file pixel values ranging from 0 to 100 percent, with each individual value representing the area or proportion of that 30m cell covered by tree canopy. The product is then filtered and masked to eliminate obvious non-tree areas, and to create a more cartographically useful product. Although this approach more closely resembles the NLCD 2001 tree canopy protocol, the products still used different mapping methods and are not designed to be directly comparable for change analysis. The percent tree canopy cover layer was produced using a Random Forests (trademarked by Leo Breiman and Adele Cutler) regression algorithm.

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Page Last Modified: May 13, 2016