论文信息 - An algorithm for mapping burnt areas in Australia using SPOT-VEGETATION data

An algorithm for mapping burnt areas in Australia using SPOT-VEGETATION data

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.

[1] G. Dedieu,et al. SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum , 1994 .

[2] J. Townshend,et al. Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[3] J. Pereira,et al. Radiometric analysis of SPOT-VEGETATION images for burnt area detection in Northern Australia , 2002 .

[4] J. Beringer,et al. Biomass Burning and Resulting Emissions in the Northern Territory, Australia , 1995 .

[5] José M. C. Pereira,et al. A Rule-Based System for Burned Area Mapping in Temperate and Tropical Regions Using NOAA/AVHRR Imagery , 2000 .

[6] B. Gao. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[7] Leo Breiman,et al. Classification and Regression Trees , 1984 .

[8] D. Griffith,et al. Trace gas emissions from biomass burning in tropical Australian savannas , 1994 .

[9] R. Saunders. The determination of broad band surface albedo from AVHRR visible and near-infrared radiances , 1990 .