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1 Ergebnisse
1
Mapping of olive trees using Sentinel-2 and Sentinel-1 imag..:
, In:
2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
,
Ramat, G.
;
Fontanelli, G.
;
Baroni, F.
... - p. 263-267 , 2023
Link:
https://doi.org/10.1109/MetroAgriFor58484.2023.1042431
RT T1 <cTitle>2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)</cTitle>: T1 <Title>Mapping of olive trees using Sentinel-2 and Sentinel-1 images: an evaluation of pixel-based analyses</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10424313&Exemplar=1&LAN=DE A1 Ramat, G. A1 Fontanelli, G. A1 Baroni, F. A1 Lapini, A. A1 Paloscia, S. A1 Pettinato, S. A1 Pilia, S. A1 Santi, E. A1 Santurri, L. A1 Souissi, N. YR 2023 K1 Support vector machines K1 Satellite constellations K1 Satellites K1 Image recognition K1 Time series analysis K1 European Space Agency K1 Random forests K1 Sentinel-1 K1 Sentinel-2 K1 data integration K1 Olive tree crop K1 Tunisia K1 vegetation classification SP 263 OP 267 LK http://dx.doi.org/https://doi.org/10.1109/MetroAgriFor58484.2023.10424313 DO https://doi.org/10.1109/MetroAgriFor58484.2023.10424313 SF ELIB - SuUB Bremen
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