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1
Extrapolating the Spatial Distribution of Endemic fir Rever..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Shao, Bao-Hua
;
Li, Hung
;
Lo, Nan-Chang
. - p. 5676-5679 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9883267
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Extrapolating the Spatial Distribution of Endemic fir Reversely from the Windbreak Effect of Terrain-Shelterbelt on Red Cypress</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9883267&Exemplar=1&LAN=DE A1 Shao, Bao-Hua A1 Li, Hung A1 Lo, Nan-Chang A1 Huang, Kai-Yi YR 2022 SN 2153-7003 K1 Radio frequency K1 Machine learning algorithms K1 Graphical models K1 Biological system modeling K1 Moisture K1 Soil moisture K1 Predictive models K1 Climate change K1 Species Distribution Model (SDM) K1 topographic sheltering index (TSI) K1 machine learning K1 impermeable shelterbelt K1 terrain-related variable SP 5676 OP 5679 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9883267 DO https://doi.org/10.1109/IGARSS46834.2022.9883267 SF ELIB - SuUB Bremen
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