Mapping of Forest Structural Parameters in Tianshan Mountain Using Bayesian-Random Forest Model, Synthetic Aperture Radar Sentinel-1A, and Sentinel-2 Imagery.
@article{journals/remotesensing/WangXBYZNHWZBGWWNW24,
added-at = {2024-05-17T00:00:00.000+0200},
author = {Wang, Ting and Xu, Wenqiang and Bao, Anming and Yuan, Ye and Zheng, Guoxiong and Naibi, Sulei and Huang, Xiaoran and Wang, Zhengyu and Zheng, Xueting and Bao, Jiayu and Gao, Xuemei and Wang, Di and Wusiman, Saimire and Nzabarinda, Vincent and Wulf, Alain De},
biburl = {https://www.bibsonomy.org/bibtex/214ffb160e174871e7e531e4d90922c26/dblp},
ee = {https://doi.org/10.3390/rs16071268},
interhash = {f186139895c0bbb5263d0676b80aafc7},
intrahash = {14ffb160e174871e7e531e4d90922c26},
journal = {Remote. Sens.},
keywords = {dblp},
month = {April},
number = 7,
pages = 1268,
timestamp = {2024-05-20T07:02:44.000+0200},
title = {Mapping of Forest Structural Parameters in Tianshan Mountain Using Bayesian-Random Forest Model, Synthetic Aperture Radar Sentinel-1A, and Sentinel-2 Imagery.},
url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing16.html#WangXBYZNHWZBGWWNW24},
volume = 16,
year = 2024
}