Classification of quantitative attributes of Zagros forest using Landsat 8-OLI and Random Forest algorithm (Case study: protected area of Manesht forests).
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 leila2019classification
%A Leila, Soleimannejad
%A Amir, Eslam Bonyad
%A Ramin, Naghdi
%A Latifi, Hooman
%D 2019
%J Journal of Forest Research and Development
%K article latifi lsfe
%N 4
%P 415-434
%T Classification of quantitative attributes of Zagros forest using Landsat 8-OLI and Random Forest algorithm (Case study: protected area of Manesht forests).
%V 4
@article{leila2019classification,
added-at = {2021-01-03T13:23:54.000+0100},
author = {Leila, Soleimannejad and Amir, Eslam Bonyad and Ramin, Naghdi and Latifi, Hooman},
biburl = {https://www.bibsonomy.org/bibtex/261341cce7983da151c2222170147cd8f/earthobs_uniwue},
interhash = {fd8d9451df2d82d055328c177b69cdc0},
intrahash = {61341cce7983da151c2222170147cd8f},
journal = {Journal of Forest Research and Development},
keywords = {article latifi lsfe},
number = 4,
pages = {415-434},
timestamp = {2021-01-28T14:29:32.000+0100},
title = {Classification of quantitative attributes of Zagros forest using Landsat 8-OLI and Random Forest algorithm (Case study: protected area of Manesht forests).},
volume = 4,
year = 2019
}