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:

Advancing Paleontology Research with Multi-Sensor UAS Data

Advancing Paleontology Research with Multi-Sensor UAS Data

We are excited to share the progress of our recent collaboration with Prof. Martin Sander, focusing on the use of multi-sensor UAS data for paleontology research. This partnership aims to explore innovative approaches to mapping and analyzing fossil sites with high...

EO4CAM at the 7th Climate Conference in Veitshöchheim

EO4CAM at the 7th Climate Conference in Veitshöchheim

We are happy to share that two of our Earth Observation Research Cluster (EORC) colleagues, John Friesen and Sarah Schönbrodt-Stitt, were invited to present at the 7th Climate Conference on April 2nd in Veitshöchheim. This event, organized by the Energieagentur...

EORC board meeting 2025

EORC board meeting 2025

This week, the annual board meeting of our EORC (Earth Observation Research Cluster) took place, bringing together the members to discuss and deliberate on several strategic and organisational issues. The meeting served as a platform for board members to share...

Congratulations to Alexandra Bell on Her Successful PhD Defense!

Congratulations to Alexandra Bell on Her Successful PhD Defense!

We are pleased to congratulate Alexandra Bell on the successful defense of her PhD thesis, which explored the role of Earth Observation (EO) data in political decision-making. In her research, Alexandra examined how EO technologies interact with political processes,...

New PhD student Lukas Block

New PhD student Lukas Block

We are pleased to welcome Lukas Block as a new PhD student.  Lukas holds a Master's degree in Geological Sciences from the Free University of Berlin, where he investigated the stratigraphic record of the Anthropocene in lacustrine sediments. He has gained...