Integrating Remote Sensing and Spatiotemporal Analysis to Characterize Artificial Vegetation Restoration Suitability in Desert Areas: A Case Study of Mu Us Sandy Land.
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%0 Journal Article
%1 journals/remotesensing/ChenHXQDZA22
%A Chen, Zhanzhuo
%A Huang, Min
%A Xiao, Changjiang
%A Qi, Shuhua
%A Du, Wenying
%A Zhu, Daoye
%A Altan, Orhan
%D 2022
%J Remote. Sens.
%K dblp
%N 19
%P 4736
%T Integrating Remote Sensing and Spatiotemporal Analysis to Characterize Artificial Vegetation Restoration Suitability in Desert Areas: A Case Study of Mu Us Sandy Land.
%U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#ChenHXQDZA22
%V 14
@article{journals/remotesensing/ChenHXQDZA22,
added-at = {2023-08-28T00:00:00.000+0200},
author = {Chen, Zhanzhuo and Huang, Min and Xiao, Changjiang and Qi, Shuhua and Du, Wenying and Zhu, Daoye and Altan, Orhan},
biburl = {https://www.bibsonomy.org/bibtex/2923e0e6ce84820540c3b52c2c21cc7e8/dblp},
ee = {https://www.wikidata.org/entity/Q114782312},
interhash = {a176ea150ec9fbab454c5297062f91ac},
intrahash = {923e0e6ce84820540c3b52c2c21cc7e8},
journal = {Remote. Sens.},
keywords = {dblp},
number = 19,
pages = 4736,
timestamp = {2024-04-08T11:46:57.000+0200},
title = {Integrating Remote Sensing and Spatiotemporal Analysis to Characterize Artificial Vegetation Restoration Suitability in Desert Areas: A Case Study of Mu Us Sandy Land.},
url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#ChenHXQDZA22},
volume = 14,
year = 2022
}