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Remote Sensing Forest Fires: Before and After Rob Gaboy & Aimee Treutlein

Remote Sensing Forest Fires: Before and After Rob Gaboy & Aimee Treutlein. Outline. Why remote sensing is useful Current methods & problems with them Future of remote sensing LIDAR Landsat AVHRR ASTER Hyperspectral satellites. Why?. Human population Environmental planning

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Remote Sensing Forest Fires: Before and After Rob Gaboy & Aimee Treutlein

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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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