Spatial downscaling and gap-filling of smap soil moisture to high resolution using modis surface variables and machine learning approaches over shandian river basin, china

HIGHLIGHTS

• who: Adeel Ahmad Nadeem and colleagues from the Learning Approaches over, China State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University have published the research work: Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China, in the Journal: (JOURNAL) of 13/04/2015
• what: This study showed that the proposed RF- and ANN-based downscaling methods have a potential to improve the resolution and gap-filling of SMAP SM at a high resolution (1 km). There . . .
  

   

  

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