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1 Ergebnisse
1
Multi-Path Fusion: A Hierarchical Machine Learning Approach..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
MacKinnon, James
;
Harding, David
;
Moussa, Mark
... - p. 1708-1711 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10282678
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Multi-Path Fusion: A Hierarchical Machine Learning Approach for Combining Diverse Data Sets for a Forest Monitoring New Observing System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10282678&Exemplar=1&LAN=DE A1 MacKinnon, James A1 Harding, David A1 Moussa, Mark A1 Brandt, Matt A1 Montesano, Paul A1 Carroll, Mark A1 Wynne, Randolph A1 Thomas, Valerie A1 Huemmrich, Fred A1 Ranson, Jon YR 2023 SN 2153-7003 K1 Earth K1 Productivity K1 Degradation K1 Instruments K1 Time series analysis K1 Data integration K1 Machine learning K1 Data Fusion K1 Machine Learning K1 Artificial Intelligence K1 Remote Sensing K1 Forest Productivity SP 1708 OP 1711 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10282678 DO https://doi.org/10.1109/IGARSS52108.2023.10282678 SF ELIB - SuUB Bremen
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