| Forum Number |
| Forum 17 |
Place : Computer Man College |
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| Date |
16-04-2009 |
| Using Remote Sensing Technology in Wild Land and Forest Fire Management in Sudan |
| Detail |
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Summary
- Remote sensing of wild land fires and the lack of accurate fire history data (extent, recurrence, intensity and seasonality of burns).
- When fire records exist they are often patchy, inaccurate or years of data are missing.
- Importance of satellite remote sensing technology in fire monitoring, their consequences and operational management.
- Special techniques and procedures used in fires detection.
- Lack of land use plan is a prime factor causing increased wild land fire incidence, while existing wild land fire management practices are not protecting the area (Case study: Albaja).
- Wild land fires are largely extending and have negative impacts on the biodiversity, the ecosystem and the socioeconomic activities of the area.
- The Normalized Difference Vegetation Index (NDVI) image is spectral index that is sensitive to the presence and abundance of green vegetation.
- (NDVI) formulations and calculations.
- Detection of burned areas and changes between images using (NDVI) time series.
- Graphs showing the effected vegetation cover (number of times burn and Correlating dry biomass as with time integrated).
- Three vegetation indexes are considered for estimating biomass (EVI, MSAV12 and NDVI), the NDVI is found to be best predictor of standing biomass (r2=0.69).
- Forest global fire alert.
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