Enhancing Supervised Machine Learning Output Using Image Processing Techniques

Razvan Dutescu ()

Informatica Economica, 2021, vol. 25, issue 3, 17-25

Abstract: For the past 20 years, deforestation has been a major issue in Romania. While there have been reforestation attempts, it is still hard to get a clear picture of how the forest situation has changed over the years. This paper explores a possible solution to finding out how Romanian forests have evolved from the year 2000 to 2019 by using geospatial data in order to see where trees were cut down or where an effort was made to replant them. This is achieved by using a decision trees machine learning model and by using clear pictures of the ground as well as some ground variables to determine where a particular forest is. Furthermore, additional steps were taken in an effort to improve the result.

Keywords: Decision Forest; Geospatial data; Dilation; Erosion; Google Earth Engine (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:25:y:2021:i:3:p:17-25

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