Title :
An algorithm for mapping burnt areas in Australia using SPOT-VEGETATION data
Author :
Stroppiana, Daniela ; Tansey, Kevin ; Grégoire, Jean-Marie ; Pereira, José M C
Author_Institution :
Eur. Comm. Joint Res. Centre, Ispra, Italy
fDate :
4/1/2003 12:00:00 AM
Abstract :
An algorithm has been developed to map burnt areas over the Australian continent using SPOT-VEGETATION (VGT) S1 satellite images. The algorithm is composed of a set of thresholds applied to each pixel´s value of the VGT spectral channels, two spectral indices and their temporal difference. The threshold values have been derived by means of a supervised classification methodology based on the classification and regression trees algorithm. A procedure has also been developed specifically for preprocessing the daily S1 images for burnt area mapping purposes. The final product is composed of ten-day and monthly burnt area maps over Australia for the full year 2000.
Keywords :
geophysical signal processing; geophysical techniques; image classification; image processing; multidimensional signal processing; terrain mapping; vegetation mapping; 400 to 1750 nm; Australia; IR; S1 images; SPOT; VEGETATION; VGT; algorithm; biomass burning; burnt area; forest fire; geophysical measurement technique; image classification; image processing; infrared; land surface; multispectral remote sensing; regression trees; satellite remote sensing; supervised classification; terrain mapping; threshold values; vegetation mapping; visible; wildfire; Australia; Classification tree analysis; Clouds; Continents; Fires; Land surface; Reflectivity; Regression tree analysis; Satellites; Vegetation mapping;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2003.808898
