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1 Ergebnisse
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High-resolution canopy height map in the Landes forest (Fra..:
Schwartz, Martin
;
Ciais, Philippe
;
Ottlé, Catherine
...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jag.2024.103711. , 2024
Link:
https://hal.science/hal-04489474
RT Journal T1
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
UL https://suche.suub.uni-bremen.de/peid=base-ftceafr:oai:HAL:hal-04489474v1&Exemplar=1&LAN=DE A1 Schwartz, Martin A1 Ciais, Philippe A1 Ottlé, Catherine A1 de Truchis, Aurelien A1 Vega, Cedric A1 Fayad, Ibrahim A1 Brandt, Martin A1 Fensholt, Rasmus A1 Baghdadi, Nicolas A1 Morneau, François A1 Morin, David A1 Guyon, Dominique A1 Dayau, Sylvia A1 Wigneron, Jean-Pierre PB HAL CCSD; Elsevier YR 2024 K1 Forest height K1 GEDI K1 Sentinel-1 K1 Sentinel-2 K1 U-Net K1 Deep Learning K1 Landes forest K1 Forest Inventory K1 3D Stereo K1 [SDU.OCEAN]Sciences of the Universe [physics]/Ocean K1 Atmosphere K1 [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces K1 environment JF info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jag.2024.103711 LK http://dx.doi.org/https://hal.science/hal-04489474 DO https://hal.science/hal-04489474 SF ELIB - SuUB Bremen
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