A. Fernández Militino, H. Goyena Baroja, U. Pérez Goya, M. D. Ugarte

Los grandes incendios forestales pueden ser uno de los mayores peligros en cualquier territorio por el elevado nivel de devastación y la súbita alteración del ecosistema que producen. La utilización de series temporales de imágenes satelitales supone una fuente de información importante, ya que junto con cierta información auxiliar puede facilitar la localización e identificación de los mismos. Ahora bien, la ingente cantidad de datos que se manejan requiere de la utilización de métodos algorítmicos rápidos y eficientes que permitan una detección precisa de las zonas quemadas. En este trabajo se utilizan imágenes satelitales MOD09GA/MYD09GA de Galicia y Portugal de septiembre, octubre y noviembre de 2017, junto con datos VIRSS y datos EFFIS, que mejoran la identificación de las áreas quemadas por incendios en octubre de 2017 utilizando al algortimo XGboosting para reducir el número de falsos positivos.

Keywords: gradient boosting

Scheduled

Data analysis
June 8, 2022  12:40 PM
Audiovisual room


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