Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 345–356, 2020
https://doi.org/10.5194/essd-12-345-2020
Earth Syst. Sci. Data, 12, 345–356, 2020
https://doi.org/10.5194/essd-12-345-2020

Data description paper 13 Feb 2020

Data description paper | 13 Feb 2020

An improved Terra–Aqua MODIS snow cover and Randolph Glacier Inventory 6.0 combined product (MOYDGL06*) for high-mountain Asia between 2002 and 2018

Sher Muhammad and Amrit Thapa

Viewed

Total article views: 3,191 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,437 673 81 3,191 42 60
  • HTML: 2,437
  • PDF: 673
  • XML: 81
  • Total: 3,191
  • BibTeX: 42
  • EndNote: 60
Views and downloads (calculated since 07 Jun 2019)
Cumulative views and downloads (calculated since 07 Jun 2019)

Viewed (geographical distribution)

Total article views: 2,591 (including HTML, PDF, and XML) Thereof 2,480 with geography defined and 111 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 06 May 2021
Download
Short summary
Snow is the major water resource in high-mountain Asia; therefore, it is crucial to continuously monitor it. Currently, remote sensing, mainly MODIS, is used for snow monitoring. However, the available MODIS snow product is not useful for various applications without postprocessing and improvement. This study reduces uncertainty in the MODIS snow data. We found approximately 50% underestimation and overestimation of snow cover by MODIS Terra–Aqua products, which were improved in this study.