Surabaya land cover prediction based on Landsat Satellite using the Multi-layer Perceptron Method

Shanas Septy Prayuda, MarithaNilam Kusuma
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Abstract

Infrastructure development has occurred very rapidly in Surabaya in the last few decades. There is pressure on the need for land use in line with the increase in population. This study aims to analyze changes in land cover with inter-decade analysis and predict land cover in 2021-2030 in Surabaya using the Multi-Layer Perceptron method. The data used in this research is Landsat satellite which is considered good in representing the actual land cover. A decrease in the amount of vegetation occurs every decade in Surabaya, while the number of buildings is increasing and the bodies of water are relatively the same. The Multi-Layer Perceptron method has a good level of accuracy in predicting land cover in the city of Surabaya. In 2021-2030 it is predicted that Surabaya will still experience an increase in the number of buildings and a decrease in the amount of vegetation.
基于Landsat卫星多层感知器的泗水土地覆盖预测
在过去的几十年里,泗水的基础设施发展非常迅速。随着人口的增加,土地使用需求也面临压力。本研究旨在利用十年际分析方法分析泗水土地覆盖变化,并利用多层感知器方法预测2021-2030年泗水土地覆盖。本研究使用的数据是Landsat卫星,被认为能很好地代表实际的土地覆盖。泗水的植被数量每十年就会减少一次,而建筑物的数量却在增加,水体却相对不变。多层感知器方法在泗水市土地覆盖预测中具有较好的精度。据预测,在2021-2030年,泗水仍将经历建筑数量的增加和植被数量的减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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