Presence of Amphibian Species Prediction Using Features Obtained from GIS and Satellite Images

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Abstract
The establishment of the transport infrastructure is usually preceded by an EIA procedure, which should determine amphibian breeding sites and migration routes. However, evaluation is very difficult due to the large number of habitats spread over a vast area and the limited time available for field work. An artificial Neural Network (ANN) is proposed for predicting the presence of amphibians species near the water reservoirs based on features obtained from GIS systems and satellite images. The dataset collected from UCI Machine Learning repository. The dataset is a multi-label classification problem. The goal of this study is to predict the presence of amphibians species near the water reservoirs based on features obtained from GIS systems and satellite images. After preprocessing the data, the proposed model was trained and evaluated. The accuracy of the proposed model for predicting the presence of amphibian’s species was 100%.
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Archival date: 2020-12-02
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2020-12-02

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