New publication: Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest

New publication: Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest

m

July 16, 2015

A new paper led by the Dept. of Remote Sensing presents an in-depth insight into practical implementations of a fullwave LiDAR survey for deriving essential forest structural variables on landscape scale. Carried out in the entire territory of Bavarian Forest National Park in Germany, this work evaluated two fundamentally-different methods of forest inventory that use LiDAR data at the landscape level: the single tree segment-based method and an area-based method. A set of structural forest attributes were modeled by these methods with a conventional forest inventory of the highly heterogeneous forest landscape which partially includes stands affected by severe natural disturbances.

Methodology adopted to the study

The single tree-based algorithm delivered highly reliable estimates of variables and their uncertainty for a set of forest structural attributes that are of interest in forest inventories at the landscape scale. This was also well correlated with the results obtained form traditional metric-based LiDAR models as well as with those form field-based forest inventory. Based on the obtained results, this work recommends LiDAR forest inventories at the landscape scale in both heterogeneous commercial forests and large protected areas in the central European temperate sites.

Latifi, H., Fassnacht, F.E., Müller, J., Tharani, A., Dech, S., Heurich, M. 2015. Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogenuous temperate forest. Int. J. Appl. Earth Obs. Geoinf. doi:10.1016/j.jag.2015.06.008

 

 

you may also like:

Department of Remote Sensing awarded for insect-friendly cooperation

Department of Remote Sensing awarded for insect-friendly cooperation

For German version see below Together with other collaborative partners, the Department of Remote Sensing at the University of Würzburg was awarded for "Insect-friendly Cooperation" by the Federal Ministry of Food and Agriculture (BMEL) in the federal competition for...

UAV Lidar data Acquisition in the Alps

UAV Lidar data Acquisition in the Alps

  Lidar data on board one of our UAVs was acquired in the last field campaign early July for mapping forest structure in an alpine valley. The data delivered very good and interesting vertical information about the vegetation structure and the terrain of this...

most recent news:

Department of Remote Sensing awarded for insect-friendly cooperation

Department of Remote Sensing awarded for insect-friendly cooperation

For German version see below Together with other collaborative partners, the Department of Remote Sensing at the University of Würzburg was awarded for "Insect-friendly Cooperation" by the Federal Ministry of Food and Agriculture (BMEL) in the federal competition for...

UAV Lidar data Acquisition in the Alps

UAV Lidar data Acquisition in the Alps

  Lidar data on board one of our UAVs was acquired in the last field campaign early July for mapping forest structure in an alpine valley. The data delivered very good and interesting vertical information about the vegetation structure and the terrain of this...