Detecting Spatially Non-Stationary between Vegetation and Related Factors in the Yellow River Basin from 1986 to 2021 Using Multiscale Geographically Weighted Regression Based on Landsat.
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%0 Journal Article
%1 journals/remotesensing/WangSZHHX22
%A Wang, Xiaolei
%A Shi, Shouhai
%A Zhao, Xue
%A Hu, Zirong
%A Hou, Mei
%A Xu, Lei
%D 2022
%J Remote. Sens.
%K dblp
%N 24
%P 6276
%T Detecting Spatially Non-Stationary between Vegetation and Related Factors in the Yellow River Basin from 1986 to 2021 Using Multiscale Geographically Weighted Regression Based on Landsat.
%U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#WangSZHHX22
%V 14
@article{journals/remotesensing/WangSZHHX22,
added-at = {2023-05-01T00:00:00.000+0200},
author = {Wang, Xiaolei and Shi, Shouhai and Zhao, Xue and Hu, Zirong and Hou, Mei and Xu, Lei},
biburl = {https://www.bibsonomy.org/bibtex/284e3732ff12cadd25b491ccb957f4bc8/dblp},
ee = {https://doi.org/10.3390/rs14246276},
interhash = {e990f32bc8b1ce3f962a0f9f43c38513},
intrahash = {84e3732ff12cadd25b491ccb957f4bc8},
journal = {Remote. Sens.},
keywords = {dblp},
month = {December},
number = 24,
pages = 6276,
timestamp = {2024-04-08T11:52:22.000+0200},
title = {Detecting Spatially Non-Stationary between Vegetation and Related Factors in the Yellow River Basin from 1986 to 2021 Using Multiscale Geographically Weighted Regression Based on Landsat.},
url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#WangSZHHX22},
volume = 14,
year = 2022
}
