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BOREAS TE-18 Landsat TM Maximum Likelihood Classification Image of the NSA

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/429
Version1
Project
Published1999-11-12
Updated2023-11-22
Usage287 downloads
Citations2 publications cited this dataset

Description

The objective of this classification is to provide the BOREAS investigators with a data product that characterizes the land cover of the NSA. A Landsat-5 TM image from 20-Aug-1988 was used to derive this classification. A standard supervised maximum likelihood classification approach was used to produce this classification.

Science Keywords

  • LAND SURFACE
  • LAND USE/LAND COVER
  • LAND USE/LAND COVER CLASSIFICATION

Data Use and Citation

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Crosscite Citation Formatter
Hall, F.G., and D.E. Knapp. 1999. BOREAS TE-18 Landsat TM Maximum Likelihood Classification Image of the NSA. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/429

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

Data Files

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Companion Files

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Boreal Ecosystem-Atmosphere Study has 3 companion files.

  • two_d_ref.txt
  • site_ref.txt
  • README

Dataset has 5 companion files.

  • TE18_NSA_Class_Max.pdf
  • TE18_NSA_Class_Max.txt
  • 20Aug1988.txt
  • TE18_NSA_Class_Max.doc
  • README