2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods
The 2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods data set models urban settlements in the Continental United States (CONUS) as of 2015. When applied to the combination of daytime spectral and nighttime lights satellite data, the machine learning methods achieved high accuracy at an intermediate-resolution of 500 meters at large spatial scales. The input data for these models were two types of satellite imagery: Visible Infrared Imaging Radiometer Suite (VIIRS) Nighttime Light (NTL) data from the Day/Night Band (DNB), and Moderate Resolution Imaging Spectroradiometer (MODIS) corrected daytime Normalized Difference Vegetation Index (NDVI). Although several machine learning methods were evaluated, including Random Forest (RF), Gradient Boosting Machine (GBM), Neural Network (NN), and the Ensemble of RF, GBM, and NN (ESB), the highest accuracy results were achieved with NN, and those results were used to delineate the urban extents in this data set.
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| Spatial Extent: | Bounding Rectangle: N: 84.0 S: -56.0 E: 180.0 W: -180.0 |
Data Format(s): | Archive: GeoTIFF, PDF, PNG, WMSDistribution: GeoTIFF, PDF, PNG, WMS |
| Temporal Extent: | Platform(s): | Suomi-NPP, Terra | |
| Data Center(s): | SEDAC | Instrument(s): | VIIRS, MODIS |
| Version: | 1.00 | ||
- Title: 2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods
- Version: 1.00
- Creator: Center for International Earth Science Information Network - CIESIN - Columbia University
- Publisher: NASA Socioeconomic Data and Applications Center (SEDAC)
- Release Date: 2019-10-10T00:00:00.000Z
- Linkage: https://doi.org/10.7927/a49b-sm16
- Title: Mapping Urban Extent at Large Spatial Scales Using Machine Learning Methods with VIIRS Nighttime Light and MODIS Daytime NDVI
- Creator: Liu, X., A. de Sherbinin and Y. Zhan
- Release Date: 2019-05-27T00:00:00.000Z
- Linkage: https://doi.org/10.3390/rs11101247
10.7927/a49b-sm16
https://doi.org/
- GENERAL DOCUMENTATION: https://sedac.ciesin.columbia.edu/data/set/urbanspatial-urban-extents-viirs-modis-us-2015/docs, Documentation Page
- GENERAL DOCUMENTATION: https://sedac.ciesin.columbia.edu/data/set/urbanspatial-urban-extents-viirs-modis-us-2015, Data Set Overview Page
Collection Information
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Purpose
To provide representations of urban areas in the Continental U.S. in the year 2015 to support sustainable urban development planning in accordance with the growth of urban areas. - Search for granules from this collection
Data Identification
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Processing Level
2
- Quality
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Collection Progress
Complete
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Use Constraints
This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
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Access Constraints
None
Data Dates
| Creation | |
| Last Revision |
Related URLs
Acquisition Information
Projects
| Project Short Name | Campaigns | Project Dates |
|---|---|---|
| URBANSPATIAL | No campaigns listed. | No dates provided. |
Temporal Information
Spatial Information
Gridded Resolutions
Gridded Resolution 1
X Dimension0.00833 Decimal Degrees
Y Dimension0.00833 Decimal Degrees
| Coverage Type | Zone Identifier | Geometry | Granule Representation |
|---|---|---|---|
| HORIZONTAL | CARTESIAN | CARTESIAN |
Resolution and Coordinate System
Geodetic Model:
| Datum Name | Ellipsoid Name | Semi Major Axis | Flattening Ratio Denominator |
|---|---|---|---|
| WGS84 | WGS84 | 6378137.0 | 298.257224 |
Horizontal Data Resolution
Location Keywords
- CONTINENT
- NORTH AMERICA
- UNITED STATES OR AMERICA
Data Centers
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SEDAC
DISTRIBUTORSocioeconomic Data and Applications Center
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CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
Palisades, NY 10964
+1 845-365-8920
+1 845-365-8922
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SEDAC
ARCHIVERSocioeconomic Data and Applications Center
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CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
Palisades, NY 10964
+1 845-365-8920
+1 845-365-8922
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Data Contacts
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CIESIN METADATA ADMINISTRATION
Metadata AuthorCIESIN METADATA ADMINISTRATION
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CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
Palisades, NY 10964
+1 845-365-8922
+1 845-365-8988
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Archive And Distribution Information
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Format: GeoTIFF
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Format: PDF
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Format: PNG
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Format: WMS
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Format: GeoTIFF
Fees: 0
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Format: PDF
Fees: 0
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Format: PNG
Fees: 0
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Format: WMS
Fees: 0
File Archive Information
File Distribution Information
There is no direct distribution information for this collection.