Evaluating Remotely Sensed Live Fuel Moisture Estimations for Fire Behavior Predictions
نویسنده
چکیده
Contemporary research has shown that remote sensing techniques can be used for estimating live fuel moisture content (FMC) from space. These remote sensing based live FMC measurements must conform to some accuracy requirements to be of any practical use in fire behavior predictions. This paper thus investigates the potential errors in live FMC estimations using two simple established techniques and analyzes the implications of such errors in fire behavior predictions using a sensitivity analysis. We study the sensitivity of fire behavior to live fuel moisture content under dry no-wind, no-slope conditions using the FARSITE surface fire behavior model with the objective of evaluating the current satellite based FMC estimation techniques and presenting a basis for accuracy requirements of live FMC retrievals using more sophisticated remote sensing techniques in the future.
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