Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)
Цитировать эту публикацию
%0 Thesis
%1 asam2014potential
%A Asam, Sarah
%D 2014
%K
%T Potential of high resolution remote sensing data for leaf area index derivation using statistical and physical models
@phdthesis{asam2014potential,
added-at = {2023-12-13T02:21:23.000+0100},
author = {Asam, Sarah},
biburl = {https://www.bibsonomy.org/bibtex/2336040baf90bf012f5a3ba31cffdcfd3/admin},
interhash = {7e29ec0c5becf6d6e92f0b0e956bc9e2},
intrahash = {336040baf90bf012f5a3ba31cffdcfd3},
keywords = {},
school = {Julius-Maximilians-Universität Würzburg},
timestamp = {2023-12-13T02:21:23.000+0100},
title = {Potential of high resolution remote sensing data for leaf area index derivation using statistical and physical models},
year = 2014
}