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Abstract

This study has been carried out in the framework of the GBA (Global Burnt Areas) 2000 project. Its aim is the development of a methodology for the detection of burnt areas at a global scale by SPOT-VEGETATION (VGT) data. The study area corresponds to the part of the African continent between the Equator and 18 degrees North, entirely covered by a mosaic of daily images acquired by the SPOT-VGT sensor.

The proposed methodology for the detection of burnt areas, based on the use of Multi-Layer Perception (MLP) neural networks, allows to exploit not only the spectral information of the observed targets but also the spatial and temporal relationships of the phenomenon. A multi-phase validation methodology has been developed including the comparison with Landsat-ETM+ scenes acquired over the study area in correspondence with the SPOT-VGT sensor. .

Additional information

Authors: MAGGI M, IREA-CNR, Milano (IT);BRIVIO P A, IREA-CNR, Milano (IT);BINAGHI E, ITIM-CNR, Milano (IT);GALLO I, ITIM-CNR, Milano (IT);GREGOIRE J-M, JRC, SAI, Ispra (IT)
Bibliographic Reference: An oral report given at: 5a Conferenza naz. asita, La qualita nell Informazione Geografi. Held in: Rimini (IT), 9-12 October 2001
Record Number: 200113912 / Last updated on: 2001-10-22
Category: PUBLICATION
Original language: it
Available languages: it
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