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- W2023896135 abstract "Development of effective management strategies for fire-prone landscapes is becoming increasingly important within South-East Australia. Monitoring of post-fire vegetation recovery is a critical process in developing these strategies, and is most effectively achieved using remote sensing techniques. This study analyses the effectiveness of Landsat 5 TM imagery and the Normalized Difference Vegetation Index (NDVI) in assessing regeneration rates of a mixed-species eucalypt forest in North-East Victoria, burnt on 6 December 2006. Multi-temporal analysis of regrowth data was performed, and standardised against an unburnt control area to eliminate any phenological factors affecting the region throughout the relevant timeframe. Results were compared with topoclimatic factors to reveal the level of stress affecting the study area both before the fire, and during post-fire regeneration." @default.
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- W2023896135 date "2012-12-01" @default.
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- W2023896135 title "Remote sensing of post-fire vegetation recovery; a study using Landsat 5 TM imagery and NDVI in North-East Victoria" @default.
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- W2023896135 doi "https://doi.org/10.1080/14498596.2012.733618" @default.
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