"Accounting for Training Data Error in Machine Learning Applied to Earth ..."

Arthur Elmes et al. (2020)

> Home

Details and statistics

DOI: 10.3390/RS12061034

access: open

type: Journal Article

metadata version: 2023-08-28

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/ElmesAACEFFJKBL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/ElmesAACEFFJKBL20
Arthur Elmes, Seyed Hamed Alemohammad, Ryan Avery, Kelly K. Caylor, J. Ronald Eastman, Lewis Fishgold, Mark A. Friedl, Meha Jain, Divyani Kohli, Juan Carlos Laso Bayas, Dalton D. Lunga, Jessica L. McCarty, Robert Gilmore Pontius Jr., Andrew B. Reinmann, John Rogan, Lei Song, Hristiana Stoynova, Su Ye, Zhuang-Fang Yi, Lyndon D. Estes:
Accounting for Training Data Error in Machine Learning Applied to Earth Observations. Remote. Sens. 12(6): 1034 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.