Predicting wildfire fuels and hazard in a central european temperate forest using active and passive remote sensing

HIGHLIGHTS

• who: Johannes Heisig and colleagues from the Institute for Geoinformatics, Westfälische Wilhelms-Universität Münster, Heisenbergstraße , have published the paper: Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing, in the Journal: Fire 2022, 5, 29. of 20/02/2022
• what: This research shows an end-to-end fire hazard assessment in a small study area with high-quality data from an extensive field survey and dense airborne LiDAR. The aim here was to quantify CBD, defined as the mass per unit volume of . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.