Land cover analysis using the random forest algorithm
Land covers play a crucial role in a variety of environmental and ecological processes. They influence the susceptibility and vulnerability of an area to various natural hazards, such as floods, landslides, forest fires and droughts. Detecting and quantifying these changes over time makes it possibl...
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| Autores principales: | , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Facultad de Ciencias Exactas y Naturales y Agrimensura
2024
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| Acceso en línea: | https://revistas.unne.edu.ar/index.php/fce/article/view/7776 |
| Aporte de: |
| Sumario: | Land covers play a crucial role in a variety of environmental and ecological processes. They influence the susceptibility and vulnerability of an area to various natural hazards, such as floods, landslides, forest fires and droughts. Detecting and quantifying these changes over time makes it possible to assess the impact of human activities such as agriculture, urbanisation and mining on the environment and to take corrective measures to mitigate their negative effects. The aim of this work is to determine the land cover for the Puan district in two seasons (summer and winter) by applying the Random Forest algorithm. We worked with Sentinel-2 satellite images corrected to surface, with which we obtained spectral indices and a subsequent supervised classification for the determination of land cover. The time scale corresponds to the year 2023, with the summer season (January) and the winter season (July). The results allowed us to identify the distribution of land uses in the Puan district and their response to seasonal variations in the same year. |
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