MSc thesis handed in on predicting forest understory canopy cover

MSc thesis handed in on predicting forest understory canopy cover

written by EORhub

May 9, 2016

A M.Sc thesis was written by Bastian Schumann under the supervision of Dr. Hooman Latifi and Prof. Christopher Conrad that focused on a LiDAR-based approach to combine structural metrics and forest habitat informaiton for causal and predictive models of understory canopy cover. The data base used consisted of a bi-temporal LiDAR dataset as well as two field datasets and two habitat maps. The entire data were initially edited, revealing that a bi-temporal treatment is only possible for understory layers. The statistical models used for modelling canopy cover density included random forest, logistic models and zero-and-one inflated beta regression.

The results revealed the most relevant LiDAR metrics which contribute to explain the canopy cover density. Furthermore it indicates that the habitat types have a significant influence on canopy cover density. In addition, it was shown that with the use of a denser point cloud a higher performance can be achieved in almost every vertical stand layer.

Wall-to-wall predictions of understory canopy cover usign high density point cloud, habitat types and a logistic model

Wall-to-wall predictions of understory canopy cover usign high density point cloud, habitat types and a logistic model

you may also like:

UAS data acquisition in Würzburg city

UAS data acquisition in Würzburg city

For a small part of the city of Würzburg covering buildings and city trees Lidar (ALS, TLS), thermal and multispectral UAS-based data was acquired, lead by Dr. Mirjana Bevanda and our colleagues Antonio Castaneda and Jakob Schwalb-Willmann with the help of many staff...

New DFG Project Beta-For

New DFG Project Beta-For

A new DFG project started among other sites in the University Würzburg research forest and with the lead of Prof. Jörg Müller from the faculty of biology. Project summary (in german only) below: Das DFG Projekt “Enhancing the structural diversity between patches for...

AgriSens DEMMIN 4.0 field work – mission completed

AgriSens DEMMIN 4.0 field work – mission completed

Last week some EAGLE students ventured out for a field campaign at the Durable Environmental Multidisciplinary Monitoring Information Network (DEMMIN) test site to support us in the field work for the AgriSens DEMMIN 4.0 project funded by the Federal Ministry of Food...