Evaluation of Classification Differences Occurring Between 2019-2020 in Trabzon Province With Sentinel-2a Data Using Different Algorithms

Abstract

Environmental status reports are important documents that reveal the situation of the relevant city and its surroundings as of the years they were published. Based on the 2021 environmental status report covering Trabzon Province and its surroundings, it has been noticed that green areas are decreasing in the 1/100000 scale environmental arrangement plan (EAP) classification. This study examined the change in the green regions in Trabzon Province with different controlled-uncontrolled classification methods and random forest (RF) algorithm, one of the machine learning algorithms, between 2019 and 2020. In monitoring the change, classification processes were carried out with Normalized Difference Vegetation Index (NDVI), controlled, uncontrolled, and RO algorithm. Classification results were evaluated using the Sentinel-2A satellite data sets of the study area between May 2019 and May 2020, using band composites with 10 m spatial resolution and performing NDVI processing. As a result, as a result of the controlled classification process, the general accuracy rate for 2019 was 100.0%, while the general accuracy rate for 2020 was 81.31%. Classification of satellite images was also carried out with the RO algorithm, one of the machine learning algorithms, and the overall accuracy rate was obtained as 97.6%. © Author(s) 2023.