Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Isprs Journal of Photogrammetry and Remote Sensing

• Publication date

  2016-12-01

• Fields of study

  Geography, Computer Science, Environmental Science

• Identifiers
  DOI 10.1016/J.ISPRSJPRS.2016.11.004
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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