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1
Sentinel-1 and TanDEM-X InSAR Coherence for Monitoring Fore..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Rizzoli, Paola
;
Molin, Ricardo Dal
;
Carcereri, Daniel
. - p. 433-436 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10282367
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Sentinel-1 and TanDEM-X InSAR Coherence for Monitoring Forests Using Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10282367&Exemplar=1&LAN=DE A1 Rizzoli, Paola A1 Molin, Ricardo Dal A1 Carcereri, Daniel A1 Bueso-Bello, Jose-Luis YR 2023 SN 2153-7003 K1 Deep learning K1 Satellite constellations K1 Parameter estimation K1 European Space Agency K1 Forestry K1 Coherence K1 Predictive models K1 coherence K1 forest monitoring K1 forest height K1 deep learning K1 InSAR K1 Sentinel-1 K1 TanDEM-X SP 433 OP 436 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10282367 DO https://doi.org/10.1109/IGARSS52108.2023.10282367 SF ELIB - SuUB Bremen
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