Evaluation deep learning approaches for classification drought stages using satellite imagery for tharparker

HIGHLIGHTS

• who: ABOAAMIMASA from the Sir Syed University Research Journal and Technology have published the article: Evaluation Deep Learning Approaches for Classification Drought Stages Using Satellite Imagery for Tharparker, in the Journal: (JOURNAL) of June/25,/2004
• what: The aim was to compare expected and observed outcomes to figure out how sensitive and predictive drought-trigger input factors were . The studies discussed above either use some index or remote sensing for prediction, but this study uses raw satellite images which create ease of use. The dataset used in this study focuses on a single region, contributing . . .
  

   

  

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