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1 Ergebnisse
1
Machine Learning for Spatiotemporal Mapping and Monitoring ..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Al Dogom, Diena Walid
;
Samour, Basma M. M.
;
Al Shamsi, Meera
... - p. 6720-6723 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10282424
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Machine Learning for Spatiotemporal Mapping and Monitoring of Mangroves and Shoreline Changes Along a Coastal Arid Region</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10282424&Exemplar=1&LAN=DE A1 Al Dogom, Diena Walid A1 Samour, Basma M. M. A1 Al Shamsi, Meera A1 Almansoori, Saeed A1 Aburaed, Nour A1 Zitouni, M. Sami YR 2023 SN 2153-7003 K1 Coastlines K1 Ecosystems K1 Sea measurements K1 Machine learning K1 Carbon dioxide K1 Loss measurement K1 Satellite images K1 Climate change K1 Mangrove K1 Land cover Land Use (LCLU) K1 Digital Shoreline Analysis System (DSAS) K1 Shoreline Change Envelope (SCE) K1 Net Shoreline Movement (NSM) K1 and End Point Rate(EPR) SP 6720 OP 6723 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10282424 DO https://doi.org/10.1109/IGARSS52108.2023.10282424 SF ELIB - SuUB Bremen
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