Cartografía de incendios forestales en Paraguay mediante imágenes AQUA-MODIS

[EN] One of the major environmental problems facing the world today is the loss of forest resources caused by fire. The large size and difficulty of access to many affected areas, especially in tropical areas, make difficult to quantify the damage caused by forest fires. Operational mapping of burne...

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Detalles Bibliográficos
Autores: Martín, M. Pilar, Rejalaga Noguera, Larissa K.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2010
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/154606
Acceso en línea:http://hdl.handle.net/10261/154606
Access Level:acceso abierto
Palabra clave:Mapping
Burned areas
Spectral indexes
Spatial resolution
AQUA-MODIS
Paraguay
Cartografía
Áreas quemadas
Índices espectrales
Resolución espacial
Descripción
Sumario:[EN] One of the major environmental problems facing the world today is the loss of forest resources caused by fire. The large size and difficulty of access to many affected areas, especially in tropical areas, make difficult to quantify the damage caused by forest fires. Operational mapping of burned areas requires the availability of reliable and rapid methods that can produce results in a relatively short time range and a spatial and temporal scale appropriate to the management of the phenomenon. Satellite remote sensing is a suitable technique for this purpose as it provides data on the Earth's surface with enough spatial and temporal coverage and provides detailed spectral information suitable for mapping burned areas. This paper discusses the use of images from the AQUA-MODIS sensor for mapping areas affected by forest fires in Paraguay. It propose a methodology that combines MODIS products with different spatial (500 and 250 meters) and spectral (7 and 2 bands) resolutions for the purpose of improving the capacity of discrimination and delimitation of areas affected by forest fires in a tropical area. The proposed methodology allowed us to discriminate all fires in the study area with size equal to or greater than 150 hectares. The discrimination capacity was acceptable (around 60%) for fires between 100 and 125 hectares, however proved to be more limited for fires less than 100 hectares.