An improved spatiotemporal data fusion method for snow-covered mountain areas using snow index and elevation information

HIGHLIGHTS

• who: Min Gao and colleagues from the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Sciences, Beijing, China have published the research: An Improved Spatiotemporal Data Fusion Method for Snow-Covered Mountain Areas Using Snow Index and Elevation Information, in the Journal: Sensors 2022, 2022, 22, 22, x x Sensors of 12/02/2020
• what: This study proposes an improved ESTARFM (iESTARFM) for snow-covered mountain areas in the Nepal region by introducing NDSI and DEM information.
• how: The LBP operator is applied to the MODIS . . .
  

   

  

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