Sea surface salinity inversion model for changjiang estuary and adjoining sea area with smap and modis data based on machine learning and preliminary application

HIGHLIGHTS

• who: Xiaoyu Zhang et al. from the School of Earth Sciences, Zhejiang University, Hangzhou, China have published the Article: Sea Surface Salinity Inversion Model for Changjiang Estuary and Adjoining Sea Area with SMAP and MODIS Data Based on Machine Learning and Preliminary Application, in the Journal: (JOURNAL) of 17/08/2020
• what: To improve the spatial resolution and temporal span of satellite SSS data, this study aims to establish a complex SSS inversion model based on salinity satellite data combined with ocean color satellite data. Among 30 samples are used to build the model,for . . .
  

   

  

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