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1 Ergebnisse
1
Can Machine Learning Algorithms Successfully Predict Grassl..:
Yue Wang
;
Rongzhu Qin
;
Huzi Cheng
...
https://www.mdpi.com/2072-4292/14/16/3843. , 2022
Link:
https://doi.org/10.3390/rs14163843
RT Journal T1
Can Machine Learning Algorithms Successfully Predict Grassland Aboveground Biomass?
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f23a0090481445628c8a9216e387f6cd&Exemplar=1&LAN=DE A1 Yue Wang A1 Rongzhu Qin A1 Huzi Cheng A1 Tiangang Liang A1 Kaiping Zhang A1 Ning Chai A1 Jinlong Gao A1 Qisheng Feng A1 Mengjing Hou A1 Jie Liu A1 Chenli Liu A1 Wenjuan Zhang A1 Yanjie Fang A1 Jie Huang A1 Feng Zhang PB MDPI AG YR 2022 K1 MODIS K1 Google Earth Engine K1 biomass inversion K1 spatio-temporal scalability K1 model building K1 Science K1 Q JF https://www.mdpi.com/2072-4292/14/16/3843 LK http://dx.doi.org/https://doi.org/10.3390/rs14163843 DO https://doi.org/10.3390/rs14163843 SF ELIB - SuUB Bremen
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