Metadata: NLCD 2016 Land Cover, Minnesota

NLCD 2016 Land Cover, Minnesota

This page last updated: 07/10/2019
Metadata created using Minnesota Geographic Metadata Guidelines


Go to Section:
  1. Overview
  2. Data Quality
  3. Data Organization
  4. Coordinate System
  5. Attributes
  6. Distribution - Get Data
  7. Metadata Reference

Section 1: Overview

Originator:U.S. Geological Survey

Title: NLCD 2016 Land Cover, Minnesota

Abstract: This Minnesota NLCD layer is derived from the full NLCD dataset. The national raster is clipped and projected to UTM Zone 15N. The 2016 NLCD used updated methodology and provided updates for all previously released years, so this data should not be compared directly to the other NLCD data published to the Commons. There is a change detection raster available in this resource that provides an overview of the change since 2001. For the original dataset in Albers Equal Area Conic or land cover for prior years processed with the new methods, refer to the NLCD webpage: https://www.mrlc.gov/data

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2016: a streamlined process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2016 production. The performance of the developed strategies and methods were tested in twenty World Reference System-2 path/rows throughout the conterminous U.S. An overall agreement ranging from 71% to 97% between land cover classification and reference data was achieved for all tested areas and all years. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2016 operational mapping.

Questions about the NLCD 2016 land cover product can be directed to the NLCD 2016 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

Purpose: The goal of this project is to provide the Nation with complete, current, and consistent public domain information on its land use and land cover.

Time Period of Content Date: 2016

Currentness Reference: ground condition

Progress: In work

Maintenance and Update Frequency: Every 2-3 years

Spatial Extent of Data: Clipped to include all of Minnesota and HUC8 watersheds that intersect with or discharge to Minnesota

Bounding Coordinates: -97.38
-89.62
49.34
43.39

Place Keywords: Minnesota

Theme Keywords: NGDA, Land Cover, USGS

Theme Keyword Thesaurus: NGDA Portfolio Themes

Access Constraints: None

Use Constraints: None

Contact Person Information: , Customer Service Representative

USGS EROS
Sioux Falls, SD  57198-0001
Phone: (605) 594-6151
Email: custserv@usgs.gov

Browse Graphic: Click to view a data sample.


Associated Data Sets:

Section 2: Data Quality

Attribute Accuracy: A formal accuracy assessment has not been conducted for NLCD 2016 Land Cover, NLCD 2016 Land Cover Change, or NLCD 2016 Impervious Surface products.

Logical Consistency: The NLCD 2016 final seamless products include: 1) NLCD 2016 Land Cover; 2) NLCD 2016 Impervious Surface; 3) NLCD 2016 Land Cover Change Index.

Completeness: This NLCD product is the version dated January, 2019.

Horizontal Positional Accuracy: N/A

Vertical Positional Accuracy: N/A

Lineage: NLCD 2016 Land Cover Process Step

National Land Cover Database (NLCD) land cover data is fundamentally based on the analysis of Landsat data. Approximately 3,608 Landsat scenes are required for NLCD 2016 (this total does not include additional scenes needed for cloud/shadow fill). Using automated scripts, Landsat scenes were selected for seven target years: 2001, 2003, 2006, 2008, 2011, 2013, and 2016. All scenes with cloud cover less than 20 percent were downloaded and one cloud-free, leaf-on image was selected for each path/row in each year. In addition, one leaf-off image was added for 2016 only.

If no cloud-free images were available for the target year, then an alternate cloud-free image was selected either one year before or one year after the target. If there was still significant cloud cover, then up to three fill images were selected and applied in a process to remove clouds, cloud shadow, smoke, or other artifacts.

Other input datasets include: NLCD 2001, 2006, and 2011; 3D Elevation Program (3DEP) digital elevation data; Coastal Change Analysis Program (C-CAP) land cover; Cropland Data Layer (CDL); National Wetlands Inventory (NWI); Soil Survey Geographic (SSURGO) Database; and State Soil Geographic (STATSGO2) Database. SSURGO (with STATSGO2 to fill in gaps) was the basis for a hydric soils data layer used in training data assembly.

NLCD 2016 is produced by modeling land cover change over seven intervals between 2001 and 2016, with consistent change trajectories built into the process. The first set of models in this process are for multi-spectral change detection. The Multi-Index Integrated Change Analysis (MIICA) model outputs a change map between two dates of imagery. Five spectral indices are also calculated, and a disturbance map is produced by the Vegetation Change Tracker (VCT) software. The MIICA outputs, the five spectral indices, and the 1986 to 2016 disturbance map are the inputs to the training dataset assembly stage.

A set of models was developed to assemble a training dataset for each land cover class for each of the seven target years. The training dataset models were built with Landsat images and derived indices, spectral change products, trajectory analysis, and ancillary data: NLCD 2001, 2006, and 2011; C-CAP land cover; CDL; NWI; a cultivated cropland 2008 to 2016 dataset; and a hydric soils dataset. Image segmentation was performed on the Landsat scenes, and the resulting image objects were used to mitigate noise in the training data. The final output of this stage is training data for each of the seven target years, for input into the initial land cover classification stage.

For each of the seven target years of Landsat data, two percent of all available training data per path/row was drawn from the data as training samples, and one percent was drawn as validation samples. The C5 decision tree classification software was run on the training samples to generate a set of rules, and the decision rules were applied to generate a land cover classification for each of the seven target years.

The C5 software was run with four sets of independent variables: the 1986 to 2016 disturbance year data derived from VCT; the set of Landsat images; compactness indices from image segmentation; and a DEM and its derivatives. The classifier was run twice, once with all land cover classes processed and the 1986 to 2016 disturbance year data included, and again with two classes - Urban and Water - omitted from the classification and the disturbance year data not included in processing.
The two classifications were integrated with ancillary data and the segmentation polygons to produce seven initial land cover maps.

A post-classification refinement process was developed to correct classification errors in each target year, check for consistency of land cover labels over time, and improve spatial coherence of land cover distribution. Refinement was conducted class-by-class in hierarchical order: (1) Water, (2) Wetlands, (3) Forest and forest transition, (4) Permanent snow, (5) Agricultural lands, and (6) Persistent shrubland and herbaceous. Models were developed for refinement of each class and each type of confusion. For example, confusion between coniferous forest and water, both spectrally "dark" could be corrected by reclassifying water to coniferous forest where slope was greater than 2 percent. Confusion between forest and cropland could be mitigated with CDL data, and so forth.

The final integration step resolved class label issues pertinent to local environments (such as coastal areas), and, for land cover classes other than Water and Developed, ensured that all pixels in a segmentation object were in the same class. Pixel-based and object-based land cover labels were checked for differences, which were reconciled by a rule-based model. Water and Developed classes kept pixel values intact even in areas that were smaller than segmentation objects. Change trajectories for each class were checked for consistency through the seven target years.


The NLCD 2016 Land Cover Change Index is a raster image with an accompanying look-up table that describes the land cover change represented by each index. Previous releases of NLCD land cover covered one target year, and a land cover change index was compiled of change from every class in the previous target year to every class in the current one – for example from 2006 to 2011 or from 2001 to 2006.

NLCD 2016 Land Cover spans not one but seven target years: 2001, 2003, 2006, 2008, 2011, 2013, and 2016. Rather than compiling six land cover change index products (one for each pair of adjacent target years), there is a single NLCD 2016 Land Cover Change Index product whose pixel values indicate land cover changes that occurred at least once between 2001 and 2016. Each assigned image value represents either “No Change” (Index number 1) or one of the changes described below.

Index number 2 identifies pixels that have changed from any land cover class to Water, or from Water to any other land cover class, between any two adjacent target years. Indices 5, 7, 8, 10, and 21 are similar identifiers of change from or to a single land cover class.

Index 3 identifies changes from any land cover class to any of the four Urban land cover classes, or from any of those four classes to any other land cover class, between any two adjacent target years. Index 11 similarly identifies changes from or to any of the three Forest classes.

Index 4 narrowly identifies changes only between Herbaceous Wetland and Woody Wetland. Similarly, Index 6 identifies changes only between Cultivated Crops and Hay / Pasture.

Index 9 meets a special requirement of shrubland research to discriminate where change occurs on persistent shrublands verses change on transitional shrubland areas such as regenerating forests.

Pixel /Index Value Description
1 No Change
2 Change from or to Water
3 Change from or to any of the four Urban classes (open space; low, medium, and high intensity)
4 Change from Herbaceous Wetland to Woody Wetland, or vice versa
5 Change from or to Herbaceous Wetland
6 Change from Cultivated Crops to Hay / Pasture, or vice versa
7 Change from or to Cultivated Crops
8 Change from or to Hay / Pasture
9 Persistent Grassland and Shrubland change. This change index attempts to identify changes to persistent Grassland and Shrubland areas, and to separate them from transitional shrubland areas such as regenerating forests.
10 Change from or to Barren
11 Change from or to any of the three Forest classes (Evergreen, Deciduous, and Mixed)
12 Change from or to Woody Wetland

Identifying the specific changes from one target year’s land cover class to another, and the specific target years when the changes occurred, both require analysis of the land cover data itself.


Imperviousness

Defense Meteorological Satellite Program (DMSP) Nighttime Lights and Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night band Nighttime Lights have been applied by many researchers as a way to study such topics as population density and economic activity. These two datasets are used in the generation of training data for the new NLCD 2016 Impervious Surface for 2011 and 2016, respectively.

DMSP Nighttime Lights (for 2011) and VIIRS Day/Night band Nighttime Lights (for 2016) were superimposed on NLCD 2011 Impervious Surface data to exclude low density impervious areas outside urban and suburban centers, and ensure that only core urban areas were included in training data development. Two training datasets, one of larger extent, one smaller, were assembled by imposing two separate thresholds of nighttime lights imagery onto the NLCD 2011 Impervious Surface data layer.

Each of the two training datasets were used separately to build regression tree models for predicting percent impervious surface using 2011 Landsat imagery as predictive variables. These two sets of regression tree models were the basis of two 2011 initial impervious surface maps. The same two training datasets were used with 2016 Landsat imagery to create two sets of regression tree models and two 2016 initial impervious surface maps.

The two pairs of initial impervious surface maps - 2 each for 2011 and 2016 - were compared to remove false estimates caused by high reflectance in non-urban areas, as well as to retain 2011 impervious values unchanged from 2011 to 2016. An updated 2016 impervious surface map was generated.
The last step is a clean-up to correct mapping errors with automated processes and some hand editing. For example, false impervious estimates in mines and barren land were removed, and developed areas with low imperviousness, such as city parks and golf courses, were added.

Section 3: Spatial Data Organization (not used in this metadata)


Section 4: Coordinate System

Horizontal Coordinate Scheme: Universal Transverse Mercator

UTM Zone Number: 15

Horizontal Datum: NAD83

Horizontal Units: meters

Vertical Datum:

Vertical Units:

Depth Datum:

Depth Units:

Cell Width: 30m

Cell Height: 30m

Section 5: Attributes

Overview: Land Cover Class RGB Color Value Table

Detailed Citation: Attributes defined by USGS and ESRI.
Value Red Green Blue
0 0.00000000000 0.00000000000 0.00000000000
11 0.27843137255 0.41960784314 0.62745098039
12 0.81960784314 0.86666666667 0.97647058824
21 0.86666666667 0.78823529412 0.78823529412
22 0.84705882353 0.57647058824 0.50980392157
23 0.92941176471 0.00000000000 0.00000000000
24 0.66666666667 0.00000000000 0.00000000000
31 0.69803921569 0.67843137255 0.63921568628
41 0.40784313726 0.66666666667 0.38823529412
42 0.10980392157 0.38823529412 0.18823529412
43 0.70980392157 0.78823529412 0.55686274510
51 0.64705882353 0.54901960784 0.18823529412
52 0.80000000000 0.72941176471 0.48627450980
71 0.88627450980 0.88627450980 0.75686274510
72 0.78823529412 0.78823529412 0.46666666667
73 0.60000000000 0.75686274510 0.27843137255
74 0.46666666667 0.67843137255 0.57647058824
81 0.85882352941 0.84705882353 0.23921568628
82 0.66666666667 0.43921568628 0.15686274510
90 0.72941176471 0.84705882353 0.91764705882
95 0.43921568628 0.63921568628 0.72941176471

Table Detail:
NLCD_2016_Land_Cover.tif - NLCD Land Cover Layer (National Land Cover Database)
Field NameValid ValuesDefinitionDefinition Source
ObjectID
-
Internal feature numberESRI
Count
-
A nominal integer value that designates the number of pixels that have each value in the file; histogram column in ERDAS Imagine raster attributes tableESRI
ValueenumeratedLand Cover Class Code Value.NLCD Legend Land Cover Class Descriptions
11Open Water - All areas of open water, generally with less than 25% cover or vegetation or soilNLCD Legend Land Cover Class Descriptions
12Perennial Ice/Snow - All areas characterized by a perennial cover of ice and/or snow, generally greater than 25% of total cover.NLCD Legend Land Cover Class Descriptions
21Developed, Open Space - Includes areas with a mixture of some constructed materials, but mostly vegetation in the form of lawn grasses. Impervious surfaces account for less than 20 percent of total cover. These areas most commonly include large-lot single-family housing units, parks, golf courses, and vegetation planted in developed settings for recreation, erosion control, or aesthetic purposes.NLCD Legend Land Cover Class Descriptions
22Developed, Low Intensity -Includes areas with a mixture of constructed materials and vegetation. Impervious surfaces account for 20-49 percent of total cover. These areas most commonly include single-family housing units.NLCD Legend Land Cover Class Descriptions
23Developed, Medium Intensity - Includes areas with a mixture of constructed materials and vegetation. Impervious surfaces account for 50-79 percent of the total cover. These areas most commonly include single-family housing units.NLCD Legend Land Cover Class Descriptions
24Developed, High Intensity - Includes highly developed areas where people reside or work in high numbers. Examples include apartment complexes, row houses and commercial/industrial. Impervious surfaces account for 80 to 100 percent of the total cover.NLCD Legend Land Cover Class Descriptions
31Barren Land (Rock/Sand/Clay) - Barren areas of bedrock, desert pavement, scarps, talus, slides, volcanic material, glacial debris, sand dunes, strip mines, gravel pits and other accumulations of earthen material. Generally, vegetation accounts for less than 15% of total cover.NLCD Legend Land Cover Class Descriptions
41Deciduous Forest - Areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. More than 75 percent of the tree species shed foliage simultaneously in response to seasonal change.NLCD Legend Land Cover Class Descriptions
42Evergreen Forest - Areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. More than 75 percent of the tree species maintain their leaves all year. Canopy is never without green foliage.NLCD Legend Land Cover Class Descriptions
43Mixed Forest - Areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. Neither deciduous nor evergreen species are greater than 75 percent of total tree cover.NLCD Legend Land Cover Class Descriptions
51Dwarf Scrub - Alaska only areas dominated by shrubs less than 20 centimeters tall with shrub canopy typically greater than 20% of total vegetation. This type is often co-associated with grasses, sedges, herbs, and non-vascular vegetation.NLCD Legend Land Cover Class Descriptions
52Shrub/Scrub - Areas dominated by shrubs; less than 5 meters tall with shrub canopy typically greater than 20% of total vegetation. This class includes true shrubs, young trees in an early successional stage or trees stunted from environmental conditions.NLCD Legend Land Cover Class Descriptions
71Grassland/Herbaceous - Areas dominated by grammanoid or herbaceous vegetation, generally greater than 80% of total vegetation. These areas are not subject to intensive management such as tilling, but can be utilized for grazing.NLCD Legend Land Cover Class Descriptions
72Sedge/Herbaceous - Alaska only areas dominated by sedges and forbs, generally greater than 80% of total vegetation. This type can occur with significant other grasses or other grass like plants, and includes sedge tundra, and sedge tussock tundra.NLCD Legend Land Cover Class Descriptions
73Lichens - Alaska only areas dominated by fruticose or foliose lichens generally greater than 80% of total vegetation.NLCD Legend Land Cover Class Descriptions
74Moss - Alaska only areas dominated by mosses, generally greater than 80% of total vegetation.NLCD Legend Land Cover Class Descriptions
81Pasture/Hay - Areas of grasses, legumes, or grass-legume mixtures planted for livestock grazing or the production of seed or hay crops, typically on a perennial cycle. Pasture/hay vegetation accounts for greater than 20 percent of total vegetation.NLCD Legend Land Cover Class Descriptions
82Cultivated Crops - Areas used for the production of annual crops, such as corn, soybeans, vegetables, tobacco, and cotton, and also perennial woody crops such as orchards and vineyards. Crop vegetation accounts for greater than 20 percent of total vegetation. This class also includes all land being actively tilled.NLCD Legend Land Cover Class Descriptions
90Woody Wetlands - Areas where forest or shrub land vegetation accounts for greater than 20 percent of vegetative cover and the soil or substrate is periodically saturated with or covered with water.NLCD Legend Land Cover Class Descriptions
95Emergent Herbaceous Wetlands - Areas where perennial herbaceous vegetation accounts for greater than 80 percent of vegetative cover and the soil or substrate is periodically saturated with or covered with water.NLCD Legend Land Cover Class Descriptions
Red0 to 100Red color code for RGB. The value is arbitrarily assigned by the display software package, unless defined by user.NLCD
Green0 to 100Green color code for RGB. The value is arbitrarily assigned by the display software package, unless defined by user.NLCD
Blue0 to 100Blue color code for RGB. The value is arbitrarily assigned by the display software package, unless defined by user.NLCD
Opacity0 to 100A measure of how opaque, or solid, a color is displayed in a layer.NLCD
NLCD_Land_Cover_Change_Index.tif - NLCD Land Cover Change Layer (National Land Cover Database)
Field NameValid ValuesDefinitionDefinition Source
ObjectID
-
Internal feature numberESRI
Count
-
A nominal integer value that designates the number of pixels that have each value in the file; histogram column in ERDAS Imagine raster attributes tableESRI
ValueenumeratedLand Cover Change Class Code Value.NLCD Legend Land Cover Change Class Descriptions
1No ChangeNLCD Legend Land Cover Change Class Descriptions
2Change from or to WaterNLCD Legend Land Cover Change Class Descriptions
3Change from or to any of the four Urban classes (open space; low, medium, and high intensity)NLCD Legend Land Cover Change Class Descriptions
4Change from Herbaceous Wetland to Woody Wetland, or vice versaNLCD Legend Land Cover Change Class Descriptions
5Change from or to Herbaceous WetlandNLCD Legend Land Cover Change Class Descriptions
6Change from Cultivated Crops to Hay / Pasture, or vice versaNLCD Legend Land Cover Change Class Descriptions
7Change from or to Cultivated CropsNLCD Legend Land Cover Change Class Descriptions
8Change from or to Hay / PastureNLCD Legend Land Cover Change Class Descriptions
9Persistent Grassland and Shrubland change. This change index attempts to identify changes to persistent Grassland and Shrubland areas verses transitional shrubland areas such as regenerating forests.NLCD Legend Land Cover Change Class Descriptions
10Change from or to BarrenNLCD Legend Land Cover Change Class Descriptions
11Change from or to any of the three Forest classes (Evergreen, Deciduous, and Mixed)NLCD Legend Land Cover Change Class Descriptions
12Change from or to Woody WetlandNLCD Legend Land Cover Change Class Descriptions
Red0 to 100Red color code for RGB. The value is arbitrarily assigned by the display software package, unless defined by user.NLCD
Green0 to 100Green color code for RGB. The value is arbitrarily assigned by the display software package, unless defined by user.NLCD
Blue0 to 100Blue color code for RGB. The value is arbitrarily assigned by the display software package, unless defined by user.NLCD
Opacity0 to 100A measure of how opaque, or solid, a color is displayed in a layer.NLCD
NLCD_2016_Impervious_descriptor.tif - NLCD Impervious Surface Layer (National Land Cover Database 2016)
Field NameValid ValuesDefinitionDefinition Source
ObjectID
-
Internal feature numberESRI
Value0 to 100Percent ImperviousnessNLCD 2016
Count
-
A nominal integer value that designates the number of pixels that have each value in the file; histogram column in ERDAS Imagine raster attributes tableNLCD 2016
Red0 to 100Red color code for RGB slice by value for imperviousness image display purposes. The value is arbitrarily assigned by the display software package, unless defined by user. Standard user defined ramp for NLCD project is start color light gray, end color red.NLCD 2016
Green0 to 100Green color code for RGB slice by value for imperviousness image display purposes. The value is arbitrarily assigned by the display software package, unless defined by user. Standard user defined ramp for NLCD project is start color light gray, end color red.NLCD 2016
Blue0 to 100Blue color code for RGB slice by value for imperviousness image display purposes. The value is arbitrarily assigned by the display software package, unless defined by user. Standard user defined ramp for NLCD project is start color light gray, end color red.NLCD 2016
Opacity0 to 100A measure of how opaque, or solid, a color is displayed in a layer.NLCD 2016
ValueenumeratedImpervious Descriptor Layer definitionsNLCD 2016
1Primary road in urban area : interstates and other major roadsProducer-defined
2Primary road outside urban area : interstates and other major roadsProducer-defined
3Secondary road in urban area : non-interstate highwaysProducer-defined
4Secondary road outside urban area : non-interstate highwaysProducer-defined
5Tertiary road in urban area : any two-lane roadProducer-defined
6Tertiary road outside urban area : any two-lane roadProducer-defined
7Thinned road in urban area : small tertiary roads that generally are not paved and have been removed from the landcover but remain as part of the impervious surface product. These roads have been separated in the western United States so that a better categorization of developed features is represented in the landcoverProducer-defined
8Thinned road outside urban area : small tertiary roads that generally are not paved and have been removed from the landcover but remain as part of the impervious surface product. These roads have been separated in the western United States so that a better categorization of developed features is represented in the landcoverProducer-defined
9Nonroad impervious surface in urban areaProducer-defined
10Nonroad impervious surface outside urban areaProducer-defined
11Energy production site in urban area : areas identified from the FrackTracker points and classified in coordination with the Landfire projectProducer-defined
12Energy production site outside urban area : areas identified from the FrackTracker points and classified in coordination with the Landfire projectProducer-defined
NLCD_2016_Impervious.tif - NLCD Impervious Surface (National Land Cover Database 2016)
Field NameValid ValuesDefinitionDefinition Source
ObjectID
-
Internal feature numberESRI
Value0 to 100Percent ImperviousnessNLCD 2016
Count
-
A nominal integer value that designates the number of pixels that have each value in the file; histogram column in ERDAS Imagine raster attributes tableNLCD 2016
Red0 to 100Red color code for RGB slice by value for imperviousness image display purposes. The value is arbitrarily assigned by the display software package, unless defined by user. Standard user defined ramp for NLCD project is start color light gray, end color red.NLCD 2016
Green0 to 100Green color code for RGB slice by value for imperviousness image display purposes. The value is arbitrarily assigned by the display software package, unless defined by user. Standard user defined ramp for NLCD project is start color light gray, end color red.NLCD 2016
Blue0 to 100Blue color code for RGB slice by value for imperviousness image display purposes. The value is arbitrarily assigned by the display software package, unless defined by user. Standard user defined ramp for NLCD project is start color light gray, end color red.NLCD 2016
Opacity0 to 100A measure of how opaque, or solid, a color is displayed in a layer.NLCD 2016

Section 6: Distribution

Publisher: Minnesota Department of Natural Resources (DNR)

Publication Date: 07/05/2019

Contact Person Information: Zeb Thomas, GIS Data Systems Coordinator
Minnesota DNR - GIS
500 Lafayette Rd
Saint Paul, MN  55155
Phone: 651-259-5637
Email: zeb.thomas@state.mn.us

Distributor's Data Set Identifier: biota_landcover_nlcd_mn_2016

Distribution Liability: The Minnesota Department of Natural Resources General Geographic Data License Agreement is online: http://www.dnr.state.mn.us/sitetools/data_software_license.html

Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made by the USGS regarding the use of the data on any other system, nor does the act of distribution constitute any such warranty. Data may have been compiled from various outside sources. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification. The USGS shall not be liable for any activity involving these data, installation, fitness of the data for a particular purpose, its use, or analyses results.

Ordering Instructions: Please visit the download page for this dataset on the Minnesota Geospatial Commons website using the web link below (Online Linkage).

Online Linkage: I AGREE to the notice in "Distribution Liability" above. Clicking to agree will either begin the download process, link to a service, or provide more instructions. See "Ordering Instructions" above for details.

Section 7: Metadata Reference

Metadata Date: 07/10/2019

Contact Person Information: Zeb Thomas, GIS Data Systems Coordinator
Minnesota DNR - GIS
500 Lafayette Rd
Saint Paul, MN  55155
Phone: 651-259-5637
Email: zeb.thomas@state.mn.us

Metadata Standard Name: Minnesota Geographic Metadata Guidelines

Metadata Standard Version: 1.2



This page last updated: 07/10/2019
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