Can the incorporation of red edge and texture attributes from high-resolution satellite data enhance wood volume estimation in a semi-arid mountainous landscape? Intriguing research question!
Can the incorporation of red edge and texture attributes from high-resolution satellite data enhance wood volume estimation in a semi-arid mountainous landscape? Intriguing research question!
References
Bookmarks
deleting review
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 schumacher2016red
%A Schumacher, Paul
%A Mislimshoeva, Bunafsha
%A Brenning, Alexander
%A Zandler, Harald
%A Brandt, Martin
%A Samimi, Cyrus
%A Koellner, Thomas
%D 2016
%I MDPI
%J Remote Sensing
%K
%N 7
%P 540
%T Do red edge and texture attributes from high-resolution satellite data improve wood volume estimation in a semi-arid mountainous region?
%V 8
@article{schumacher2016red,
added-at = {2023-08-11T09:16:41.000+0200},
author = {Schumacher, Paul and Mislimshoeva, Bunafsha and Brenning, Alexander and Zandler, Harald and Brandt, Martin and Samimi, Cyrus and Koellner, Thomas},
biburl = {https://www.bibsonomy.org/bibtex/277408211eaa8d80b9d884075cf4e0e2d/printedcarrier},
interhash = {2649592aa2e6f54f76deaaa3176a0817},
intrahash = {77408211eaa8d80b9d884075cf4e0e2d},
journal = {Remote Sensing},
keywords = {},
number = 7,
pages = 540,
publisher = {MDPI},
timestamp = {2023-08-11T09:16:41.000+0200},
title = {Do red edge and texture attributes from high-resolution satellite data improve wood volume estimation in a semi-arid mountainous region?},
volume = 8,
year = 2016
}