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1 Ergebnisse
1
Predicting The Spatial Patterns Of Red Cypress Inversely Fr..:
, In:
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
,
Shao, Bao-Hua
;
Lo, Nan-Chang
;
Huang, Kai-Yi
- p. 6629-6631 , 2019
Link:
https://doi.org/10.1109/IGARSS.2019.8898607
RT T1 <cTitle>IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Predicting The Spatial Patterns Of Red Cypress Inversely From Positive Effects Of Topographic Obstacles On Fir</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8898607&Exemplar=1&LAN=DE A1 Shao, Bao-Hua A1 Lo, Nan-Chang A1 Huang, Kai-Yi YR 2019 SN 2153-7003 K1 Forestry K1 Nanoelectromechanical systems K1 Vegetation K1 Predictive models K1 Moisture K1 Indexes K1 Biological system modeling K1 Abies kawakamii (Taiwan fir) K1 Chamaecyparis formosensis (Taiwan red cypress) K1 decision tree (DT) K1 maximum entropy (MAXENT) K1 species distribution model (SDM) K1 topographic sheltering index (TSI) SP 6629 OP 6631 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2019.8898607 DO https://doi.org/10.1109/IGARSS.2019.8898607 SF ELIB - SuUB Bremen
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