Soil organic carbon prediction using sentinel-2 data and environmental variables in a karst trough valley area of southwest china

HIGHLIGHTS

• who: Ting Wang and collaborators from the Southwest China School of Geographical Sciences, Southwest University, China have published the research work: Soil Organic Carbon Prediction Using Sentinel-2 Data and Environmental Variables in a Karst Trough Valley Area of Southwest China, in the Journal: (JOURNAL)
• what: The aims of this study were: u2460 to determine the applicabilmay be increased. For the purpose of evaluating and comparing the SOC prediction accuracy of the models, three commonly used indices were employed, including the root-mean-square error (RMSE), the mean absolute error (MAE) and the coefficient of . . .
  

   

  

  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.