Use of High Resolution UAS Imagery to Classify Sub-Arctic Vegetation Types
- ADS bibcode
- 2014AGUFM.B31F0089H
- year
- 2014
- Listed Authors
- Herrick, C.
- Palace, M. W.
- Finnell, D. R.
- Garnello, A.
- Sullivan, F.
- Anderson, S. M.
- Varner, R. K.
- Listed Institutions
- Institute for the Study of Earth, Oceans, and Space (EOS), University of New Hampshire (UNH), Durham, NH, United States
- Institute for the Study of Earth, Oceans, and Space (EOS), University of New Hampshire (UNH), Durham, NH, United States
- Virginia Commonwealth University, Richmond, VA, United States
- University of Arizona, Tucson, AZ, United States
- Institute for the Study of Earth, Oceans, and Space (EOS), University of New Hampshire (UNH), Durham, NH, United States
- Institute for the Study of Earth, Oceans, and Space (EOS), University of New Hampshire (UNH), Durham, NH, United States
- Institute for the Study of Earth, Oceans, and Space (EOS), University of New Hampshire (UNH), Durham, NH, United States
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Linked Institutions