Use of multitemporal indexes in the identification of forest fires-a case study of Southern Chile


Abstract:

When mapping burned areas, the use of indexes such as: NDVI, NDII, SAVI, GEMI and IAQ (BAI)allow the classification of vegetation status, of which the IAQ index has been designed to clearer identification of areas affected by fires. Another alternative is the multitemporal analysis, which detects changes from one image already classified to another, corresponding to the same surface on different dates. The common denominator applies both techniques separately in order to take advantage of the characteristics of a classified image. Therefore, the current study aims to combine multi-temporality and different indexes to integrate both characteristics and facilitate the identification of burned areas. The study area is located in southern Chile with the corresponding dates from January 15 to 30,2017, where fires consumed much of the endemic forestation of the area. The methodology applied has been based on …

Año de publicación:

2019

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Sensores remotos
    • Sensores remotos
    • Ciencia ambiental

    Áreas temáticas:

    • Huertos, frutas, silvicultura
    • Otros problemas y servicios sociales
    • Ecología