Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective.
Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.
Zitieren Sie diese Publikation
Mehr Zitationsstile
- bitte auswählen -
%0 Journal Article
%1 journals/remotesensing/XuYHGYWLL23
%A Xu, Tianchi
%A Yan, Kai
%A He, Yuanpeng
%A Gao, Si
%A Yang, Kai
%A Wang, Jingrui
%A Liu, Jinxiu
%A Liu, Zhao
%D 2023
%J Remote. Sens.
%K dblp
%N 12
%P 2975
%T Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective.
%U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing15.html#XuYHGYWLL23
%V 15
@article{journals/remotesensing/XuYHGYWLL23,
added-at = {2023-07-21T00:00:00.000+0200},
author = {Xu, Tianchi and Yan, Kai and He, Yuanpeng and Gao, Si and Yang, Kai and Wang, Jingrui and Liu, Jinxiu and Liu, Zhao},
biburl = {https://www.bibsonomy.org/bibtex/2df0b254ce8e9b6030f150102112f7fda/dblp},
ee = {https://doi.org/10.3390/rs15122975},
interhash = {2d419a9ef50ddffe562147d558fbd6e8},
intrahash = {df0b254ce8e9b6030f150102112f7fda},
journal = {Remote. Sens.},
keywords = {dblp},
month = {June},
number = 12,
pages = 2975,
timestamp = {2024-04-08T11:49:25.000+0200},
title = {Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective.},
url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing15.html#XuYHGYWLL23},
volume = 15,
year = 2023
}
