U.S. Geological Survey
20200213
National Land Cover Database (NLCD) 2001 Impervious Descriptor Alaska
remote-sensing image
Sioux Falls, SD
U.S. Geological Survey
References: (1) Jin, S., Yang, L., Danielson, P., Homer, C., Fry, J., and Xian, G. 2013. A comprehensive change detection method for updating the National Land Cover Database to circa 2011. Remote Sensing of Environment, 132: 159 – 175. (2) Xian, G., Homer, C., Dewitz, J., Fry, J., Hossain, N., and Wickham, J., 2011. The change of impervious surface area between 2001 and 2006 in the conterminous United States. Photogrammetric Engineering and Remote Sensing, Vol. 77(8): 758-762. (3) Coulston, J. W., Moisen, G. G., Wilson, B. T., Finco, M. V., Cohen, W. B., and Brewer, C. K. 2012. Modeling percent tree canopy cover: a pilot study. Photogrammetric Engineering & Remote Sensing 78(7): 715-727. (4) Jin, Suming, Yang, Limin, Zhu, Zhe, Homer, Collin G., A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011: Remote Sensing of Environment, v. 195, p. 44–55, at https://doi.org/10.1016/j.rse.2017.04.021. (5) Selkowitz, D. J., Stehman, S. V., Thematic accuracy of the National Land Cover Database (NLCD) 2001 land cover for Alaska: Remote Sensing of Environment, v. 115, no. 6, p. 1401–1407, at https://doi.org/10.1016/j.rse.2011.01.020. The USGS acknowledges the support of USGS and contractor NLCD 2016 Land Cover Mapping Teams in development of data for this map.
https://doi.org/10.5066/P96HHBIE
http://www.mrlc.gov
The Alaska National Land Cover Database 2016 was created using change detection between the nominal dates of 2011 and 2016 utilizing Google Earth engine composites of Landsat imagery. Traditionally, previous classifications of Alaska used path row data and spectral comparisons between path rows along with ancillary data to derive areas of change. Alaska has many challenges for land cover classification, with the largest of these being a very short “leaf on” imagery season for acceptable phenology. This is compounded by persistent cloud cover during this growing season, and increasing terrain shadow and sun angle problems outside of this season. For this reason, the timeframe of 10 years was needed for the first update to the Alaska land cover in order to have enough acceptable imagery between these 2001 and 2011 nominal dates that met these criteria in order to provide reasonable change detection. For 2016, there was not enough complete path row imagery to do this similar change detection. Google Earth engine was employed to create a composite imagery mosaic that uses much smaller pieces of Landsat imagery to create a complete Landsat imagery snapshot used to create change detection between 2011 and 2016. Although this composite technique is not as scientifically rigorous as utilizing direct Landsat imagery, it was the only method available to us during production that would allow completion of change detection in the desired five year timeframe.
The original published 2001 and 2011 Alaska NLCD classifications are generally unchanged, except for slight updates in the northern part of the state to remove perennial ice and snow that were a result of lack of suitable imagery in the 2001 timeframe representing minimum snow and ice extent. See the 2001 and 2011 Land Cover products for the specific metadata process steps associated with the creation of those datasets.
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.
Corner Coordinates (projection meters)
Upper Left Corner: 87600(X), 1460220(Y)
Lower Right Corner: 300420(X), 1055970 (Y)
19850608
20060529
ground condition
As needed
Impervious Alaska
-152.4473
-148.0490
63.1013
59.3887
ISO 19115 Topic Category
imageryBaseMapsEarthCover
NGDA Portfolio Themes
NGDA
National Geospatial Data Asset
Land Use Land Cover Theme
None
Land Cover
GIS
U.S. Geological Survey
USGS
digital spatial data
U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D.C., National Institute of Standards and Technology
AK
Alaska
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology
United States
U.S.
US
None. Please see 'Distribution Info' for details.
None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.
Customer Service Representative
U.S. Geological Survey
mailing and physical
47914 252nd Street
Sioux Falls
SD
57198-0001
United States
605/594-6151
605/594-6589
custserv@usgs.gov
U.S. Geological Survey
Microsoft Windows 7 Version 6.1 (Build 7601: Service Pack 1); ESRI ArcCatalog 9.3.1.4000 (Service Pack 2)
A formal accuracy assessment was conducted for the NLCD 2001 Land Cover Alaska (citation 5). The overall Alaska thematic accuracy was 76.2% (s.e. 2.8%) at Level II and 83.9% (s.e. 2.1%) at Level I when agreement was defined as a match between the map label of the sampled pixel with either the primary or alternate reference label.
Manual and automated QA/QC checks on the NLCD 2001 Land Cover Alaska dataset verified the positional accuracy of the pixel grid and confirmed that all thematic attributes belonged to one of the approved NLCD classes.
This NLCD product of Alaska 2001 Impervious Descriptor is the version dated February 13, 2020.
N/A
N/A
Collin Homer
Jon Dewitz
Limin Yang
201505
Completion of the 2011 National Land Cover Database for the Conterminous United States - Representing a Decade of Land Cover Change Information
publication
https://www.researchgate.net/publication/282254893_Completion_of_the_2011_National_Land_Cover_Database_for_the_Conterminous_United_States_-_Representing_a_Decade_of_Land_Cover_Change_Information
Digital and/or Hardcopy
201505
publication date
Landsat ETM
Landsat Enhanced Thematic Mapper (ETM)
Collin Homer
Jon Dewitz
Limin Yang
201505
Completion of the 2011 National Land Cover Database for the Conterminous United States - Representing a Decade of Land Cover Change Information
publication
https://www.researchgate.net/publication/282254893_Completion_of_the_2011_National_Land_Cover_Database_for_the_Conterminous_United_States_-_Representing_a_Decade_of_Land_Cover_Change_Information
Digital and/or Hardcopy
201505
publication date
USDA
United States Department of Agriculture (USDA)
USDA Forest Service
20181102
Forest Inventory & Analysis: What is Forest Inventory and Analysis?
publication
What_is_FIA_FS_2018_update.pdf
https://www.fia.fs.fed.us/
Digital and/or Hardcopy
20181102
publication date
FIA
Forest Inventory and Analysis (FIA) Program of the U.S. Forest Service
Collin Homer
Jon Dewitz
Limin Yang
201505
Completion of the 2011 National Land Cover Database for the Conterminous United States - Representing a Decade of Land Cover Change Information
publication
https://www.researchgate.net/publication/282254893_Completion_of_the_2011_National_Land_Cover_Database_for_the_Conterminous_United_States_-_Representing_a_Decade_of_Land_Cover_Change_Information
Digital and/or Hardcopy
201505
publication date
DEM
Digital Elevation Model (DEM)
Collin Homer
Jon Dewitz
Limin Yang
201505
Completion of the 2011 National Land Cover Database for the Conterminous United States - Representing a Decade of Land Cover Change Information
publication
https://www.researchgate.net/publication/282254893_Completion_of_the_2011_National_Land_Cover_Database_for_the_Conterminous_United_States_-_Representing_a_Decade_of_Land_Cover_Change_Information
Digital and/or Hardcopy
201505
publication date
USGS/EROS
United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center
Collin Homer
Jon Dewitz
Limin Yang
201505
Completion of the 2011 National Land Cover Database for the Conterminous United States - Representing a Decade of Land Cover Change Information
publication
https://www.researchgate.net/publication/282254893_Completion_of_the_2011_National_Land_Cover_Database_for_the_Conterminous_United_States_-_Representing_a_Decade_of_Land_Cover_Change_Information
Digital and/or Hardcopy
201505
publication date
USGS NLCD
United States Geological Survey (USGS) National Land Cover Database (NLCD)
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. This dataset was used in the generation of training data for the new NLCD 2016 Alaska Impervious Surface. Because so few urban areas exist in Alaska the impervious surface estimates were only created for an area surrounding Anchorage and Homer. The resulting training data generated for this area were used to predict urban areas for the entire state. VIIRS Day/Night band Nighttime Lights (for 2016) was 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 was 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.
Roads for 2011 and 2016 were derived from NAVSTREETS™ and hand edits. For the year 2001, there is no comparable roads source, so the NAVSTREETS™-derived 2011 roads were edited to reflect how the roads should appear for this year. This was done using a combination of impervious change pixels and hand edits for the entire state of Alaska.
The impervious descriptor layer and the urban descriptor layer define which impervious layer pixels are roads and provides the best fit description for impervious pixels that are not roads. This should allow users extra flexibility for manipulating and categorizing impervious surface and the ability to more accurately identify new impervious growth for each year. The descriptor information is generated from roads, urban areas, and energy production sites.
Landsat ETM
USDA
FIA
DEM
USGS/EROS
20200213
USGS NLCD
Customer Service Representative
U.S. Geological Survey
mailing and physical
47914 252nd Street
Sioux Falls
SD
57198-0001
United States
605/594-6151
605/594-6589
custserv@usgs.gov
Raster
Pixel
67844
124236
1
Albers Conical Equal Area
55.000000
65.000000
-154.000000
50.000000
0.000000
0.000000
row and column
30.000000
30.000000
meters
World Geodetic System 1984 (WGS 84)
WGS_1984
6378137.000000
298.257222
None
NLCD Impervious Descriptor Layer
National Land Cover Database 2016
ObjectID
Internal feature number
ESRI
Sequential unique whole numbers that are automatically generated.
ValueImpervious DescriptorNLCD 20160Background/No DataNLCD impervious descriptor classes
1
Primary road in urban area
NLCD impervious descriptor classes
2
Primary road outside urban area
NLCD impervious descriptor classes
3
Secondary road in urban area
NLCD impervious descriptor classes
4
Secondary road outside urban area
NLCD impervious descriptor classes
5
Tertiary road in urban area
NLCD impervious descriptor classes
6
Tertiary road outside urban area
: NLCD impervious descriptor classes
7
Thinned road in urban area
: NLCD impervious descriptor classes
8
Thinned road outside urban area
NLCD impervious descriptor classes
9
Nonroad imp in urban area
NLCD impervious descriptor classes
10
Nonroad imp outside urban area
NLCD impervious descriptor classes
11
Energy production site in urban area
NLCD impervious descriptor classes
12
Energy production site outside urban area
NLCD impervious descriptor classes
127
Background/No Data
NLCD impervious descriptor classes
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 table
NLCD 2016
Integer
Red
Red 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
0
100
CSS Color Value Percentage
0.1
Green
Green 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
0
100
CSS Color Value Percentage
0.1
Blue
Blue 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
0
100
CSS Color Value Percentage
0.1
Opacity
A measure of how opaque, or solid, a color is displayed in a layer.
NLCD 2016
0
100
percentage
0.1
Imperviousness Attributes
Attributes defined by USGS and ESRI
U.S. Geological Survey
GS ScienceBase
mailing address
Denver Federal Center, Building 810, Mail Stop 302
Denver
CO
80225
United States
1-888-275-8747
sciencebase@usgs.gov
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
Digital Data
https://doi.org/10.5066/P96HHBIE
None
20200331
Customer Service Representative
U.S. Geological Survey
mailing and physical
47914 252nd Street
Sioux Falls
SD
57198-0001
United States
605/594-6151
605/594-6589
custserv@usgs.gov
FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
FGDC-STD-001.1-1999