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1 Ergebnisse
1
An Operational Data-Driven Framework For Developing High-Re..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Kang, Yanghui
;
Ozdogan, Mutlu
;
Gao, Feng
.. - p. 2185-2187 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10283064
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>An Operational Data-Driven Framework For Developing High-Resolution Leaf Area Index Products</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10283064&Exemplar=1&LAN=DE A1 Kang, Yanghui A1 Ozdogan, Mutlu A1 Gao, Feng A1 Anderson, Martha A1 Keenan, Trevor YR 2023 SN 2153-7003 K1 Atmospheric modeling K1 Vegetation mapping K1 Terrestrial atmosphere K1 Landsat K1 Machine learning K1 Sensor phenomena and characterization K1 Indexes SP 2185 OP 2187 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10283064 DO https://doi.org/10.1109/IGARSS52108.2023.10283064 SF ELIB - SuUB Bremen
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