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Enhancing Forest Fire Monitoring: Remote Sensing Before and After

Explore the benefits of remote sensing for forest fires, current methods, challenges, and the future. Learn about technologies like LIDAR, Landsat, and ASTER, and their applications. Discover how remote sensing is crucial for human population safety and environmental planning.

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Enhancing Forest Fire Monitoring: Remote Sensing Before and After

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  1. Remote Sensing Forest Fires:Before and AfterRob Gaboy & Aimee Treutlein

  2. Outline • Why remote sensing is useful • Current methods & problems with them • Future of remote sensing • LIDAR • Landsat • AVHRR • ASTER • Hyperspectral satellites

  3. Why? • Human population • Environmental planning • More cost/time efficient than current methods • Better understanding • Detailed mapping • Improved accuracy

  4. Current Methods • Aerial photography • Field measurements and mapping • Passive remote sensing • Medium spatial resolution multi-spectral satellite

  5. Aerial Photography Problems • Limited number of bands • Limited coverage • Time consuming • Can’t take photos as often • Development cost • Difficulty assessing fuel • subjective

  6. Problems in the Field • Time consuming • Accessibility issues • Subjective • Costly • Human and instrument • Low updating frequency

  7. Passive Sensors • Effectiveness • Can’t see understory • Depends on intended application

  8. Medium Resolution • Superficial observations • Reflectance • Rely on field obs

  9. LIDAR • Light Detection and Ranging • Penetrability • Accuracy • Data computed • Applications

  10. Landsat • Multispectral • visible and mid-infrared • High resolution • Surface/Canopy characteristics • Vegetation categories • Recalibrate

  11. AVHRR • Advanced Very High Resolution Radiometer • Originally Met. Satellite • Multispectral • visible and thermal infrared • Long-term monitoring • Remote and isolated areas • Restricted

  12. ASTER • Multispectral • visible and near-infrared telescope • Vegetation • Mapping fuel characteristics • Quantitative accuracy

  13. Hyperspectral • Directly related analysis • Map vegetation • Species mapping • Vegetation classification • Preventative measure • Limited spatial coverage

  14. Conclusions • Better than aerial/ground obs • Don’t use alone • Need for surface info • Most cost efficient • Helpful in mapping and analyzing • both before and after • Don’t generalize, need to know underlying process

  15. References • Remote Sensing Techniques to Assess Active Fire Characteristics and Post-Fire Effects. Lentile, Leigh B. et al., International Journal of Wildland Fire, 2006, 15, 319-345 • Evaluating ASTER Satellite Imagery and Gradient Modeling for Mapping and Characterizing Wildland Fire Fuels. Falkowski, Michael J. et al., ASPRS Annual Conference Proceedings, May 2004 • Assessing Fuel Loads using Remote Sensing Technical Report Summary. Roff, A. et al., The University of New South Wales, 2005 • http://earthobservatory.nasa.gov/Library/GlobalFire/fire_5.html • http://www.eduspace.esa.int/subdocument/default.asp?document=353

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