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Quantitative Assessment of DESIS Hyperspectral Data for Pla..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Guo, Yiqing
;
Mokany, Karel
;
Ong, Cindy
... - p. 1744-1747 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9883033
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9883033&Exemplar=1&LAN=DE A1 Guo, Yiqing A1 Mokany, Karel A1 Ong, Cindy A1 Moghadam, Peyman A1 Ferrier, Simon A1 Levick, Shaun YR 2022 SN 2153-7003 K1 Earth K1 Correlation K1 Gaussian processes K1 Feature extraction K1 Sensors K1 Biodiversity K1 Australia K1 Hyperspectral Remote Sensing K1 Plant Biodiversity K1 Species Richness K1 DESIS (the DLR Earth Sensing Imaging Spectrometer) SP 1744 OP 1747 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9883033 DO https://doi.org/10.1109/IGARSS46834.2022.9883033 SF ELIB - SuUB Bremen
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