Dry biomass estimation of paddy rice with Sentinel-1A satellite data using machine learning regression algorithms

•For the entire growing season, VV is more consistent with rice dry biomass than VH.•For the entire growing season, VHVV produced more accurate rice biomass estimates.•RF outperformed the other algorithms in rice dry biomass estimation with VHVV.•The most accurate rice biomass estimates were recorde...

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Vydané v:	Computers and electronics in agriculture Ročník 176; s. 105674
Hlavní autori:	Mansaray, Lamin R., Zhang, Kangyu, Kanu, Adam Sheka
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.09.2020 Elsevier BV
Predmet:	agriculture Algorithms Biomass China Crop growth data collection Datasets decision support systems Decision trees Dry biomass electronics Elongation Estimates Estimation Information retrieval interferometry Machine learning Paddy rice Parameter estimation precision agriculture remote sensing Rice Ripening rough rice Sentinel-1A Support vector machines Vertical polarization China Paddy rice Sentinel-1A Estimation Dry biomass Machine learning
ISSN:	0168-1699, 1872-7107
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