Evaluating post-fire recovery of Latroon dry forest using Landsat ETM+, unmanned aerial vehicle and field survey data

We evaluated the fire severity and recovery process of Latroon dry forest in Jordan following 2003 fire. A series multi-temporal Landsat-ETM + data delta normalized burn ratio (dNBR) were used to map immediately 1,5,9,13 17 years after. In addition, combined field morpho-physiological measurements, unmanned aerial vehicle (UAV) also 2020 assess recovery. Landsat-dNBR images revealed that about 65% was burned 2003. 2020, 90% area recovered condition before UAV means similar ground measurement across classes over tested species. showed most moderate highly severe had but measurements severely trees significantly shorter (p < 0.001) than those from studied Therefore, did not detect tree height changes. While can potentially estimate height, Landsat-ETM+ (near-infrared, chlorophyll; shortwave-infrared, water status) hold promise for estimating physiology canopy. Overall, different remote sensing levels are required track kinds changes forests.