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30-m Topographic Wetness Index

Metadata Updated: January 14, 2026

The lidar Topographic Wetness Index (TWI) is the TWI data product produced and distributed by the National Park Service, Great Smoky Mountains National Park. Concave, low gradient areas will gather water (low TWI values), whereas steep, convex areas will shed water (high TWI values). Values range range from less than 1 (dry cells) to greater than 20 (wet cells).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date January 14, 2026
Metadata Updated Date January 14, 2026

Metadata Source

Harvested from DOI NPS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date January 14, 2026
Metadata Updated Date January 14, 2026
Publisher National Park Service
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/NPS_DataStore_2208650
Data First Published 2014-03-17T00:00:00Z
Data Last Modified 2014-03-17T00:00:00Z
Category Raster Dataset
Public Access Level public
Bureau Code 010:24
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/nps-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 966b3bd3-4793-4c57-8992-c4f907e8f04e
Harvest Source Id d917c1a9-26b7-43ea-b8c5-c77ec750a850
Harvest Source Title DOI NPS DCAT-US
Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2208650
Old Spatial -84.02396,35.4183655,-82.99266,35.84451
Program Code 010:118, 010:119
Source Datajson Identifier True
Source Hash e7d631985776a00d26463c541a16e12d598974994564e1a60e85bbf6bbd283ba
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -84.02396, 35.4183655, -84.02396, 35.84451, -82.99266, 35.84451, -82.99266, 35.4183655, -84.02396, 35.4183655}

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