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Feasibility of Using Landsat Synthetic Images to Classify T..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
He, Rui
;
He, Binbin
;
Shi, Yue
... - p. 5692-5695 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9884860
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Feasibility of Using Landsat Synthetic Images to Classify Tree Species in Southwest Sichuan, China</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9884860&Exemplar=1&LAN=DE A1 He, Rui A1 He, Binbin A1 Shi, Yue A1 Chen, Liang A1 Wang, Zili A1 Lai, Xiaoying YR 2022 SN 2153-7003 K1 Earth K1 Artificial satellites K1 Biological system modeling K1 Clouds K1 Time series analysis K1 Vegetation K1 Forestry K1 CCDC K1 Landsat synthetic images K1 Tree species K1 Feasibility K1 Hierarchical classification SP 5692 OP 5695 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9884860 DO https://doi.org/10.1109/IGARSS46834.2022.9884860 SF ELIB - SuUB Bremen
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