Inter-seasonal estimation of grass water content indicators using multisource remotely sensed data metrics and the cloud-computing google earth engine platform

HIGHLIGHTS

• who: Anita Masenyama et al. from the University of KwaZulu-Natal, Private Bag, Scottsville, Pietermaritzburg, South Africa have published the Article: Inter-Seasonal Estimation of Grass Water Content Indicators Using Multisource Remotely Sensed Data Metrics and the Cloud-Computing Google Earth Engine Platform, in the Journal: (JOURNAL) of 31/03/2022
• what: Unfortunately, the work by Sibanda, Mutanga was a snapshot-type of analysis where only one image and one season were considered. Bands acquired at 60 m GSD (1, 9, and 10) were not included in this study because they are designed for detecting . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.