Prediction of land-change using machine learning for the deforestation in paraguay

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4 Citations (Scopus)


Northwestern Paraguay is being deforested at a very rapid rate. This article studies the rate of deforestation that has happened in this area using satellite images of LandSAT5 and LandSAT7. The rate of the deforestation is detected from 1986 to 2011, graphically using which future prediction is made. The images of LandSAT8 are used to validate the prediction made until 2018. An extrapolation of the graph shows that the process of deforestation is already 3 years ahead of its forecast. An overall accuracy of 98% has been achieved using this technique. The root mean squre error (RMSE) is around 0.011.

Original languageEnglish
Pages (from-to)1774-1782
Number of pages9
JournalBulletin of Electrical Engineering and Informatics
Issue number5
Publication statusPublished - 10-2020

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering


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