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

Document Type

Article

Publication Title

Bulletin of Electrical Engineering and Informatics

Abstract

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.

First Page

1774

Last Page

1782

DOI

10.11591/eei.v9i5.2532

Publication Date

10-1-2020

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