New publication: Further progress in model-based estimation of forest understorey by LiDAR data

New publication: Further progress in model-based estimation of forest understorey by LiDAR data

January 27, 2017

In a recently-published paper in Forestry featuring Hooman Latifi, Steven Hill and Stefan Dech from the Dept. of Remote Sensing, further advancements have been reported in developing unbiased statistical models for area-based estimation of forest understorey layers using LiDAR point cloud information. The study leveraged an original high-density LiDAR point cloud, which was further processed to simulate two lower-density datasets by applying a thining approach. The data were then combnined with three statistical modeling approaches to estimate the proportions of shrub, herb and moss layers in temperate forest stands in southeastern Germany.

 

Despite the differences between our simulated data and the real-world LiDAR point clouds
of different point densities, the results of this study are thought to mostly reflect how LiDAR and forest habitat data can be combined for deriving ecologically relevant information on temperate forest understorey vegetation layers. This, in turn, increases the applicability of prediction results for overarching aims such as forest and wildlife management.

Further informaiton on the published paper can be retrieved here.

Bibliography:

Latifi, H., Hill, S., Schumann, B., Heurich, M., Dech, S. 2017. Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data. Forestry, DOI:10.1093/forestry/cpw066

 

you may also like:

PhD colloquium of Prof. Stefan Dech

PhD colloquium of Prof. Stefan Dech

Last week we had as every year the colloquium of all PhD students by Prof. Stefan Dech. This time in a different setting however despite these changes we had very good and extensive discussions on various research topics. Nevertheless we are looking forward to have...

New Book “Intro to Spatial Data Analysis” finally arrived

New Book “Intro to Spatial Data Analysis” finally arrived

Our book "An Introduction to Spatial Data Analysis - Remote Sensing and GIS with Open Source Software" finally arrived! It is great to flip through the pages of our copies and we sincerely hope that all readers find the book as interesting as we experienced the...

new publication on urban remote sensing

new publication on urban remote sensing

A new article by Hannes Taubenboeck and colleagues was just published "Seven city types representing morphologic configurations of cities across the globe". They performed an empirical analysis of morphological-spatial configurations of urban landscapes across the...

most recent news:

Field work equipment arrived with Earth Observation design

Field work equipment arrived with Earth Observation design

Our field work jackets and backpacks arrived with Earth Observation design. Now we can conduct our UAV campaigns and are easily recognizable as researcher of the University of Wuerzburg. We are looking forward to some time in the field sampling various landcover...

New researcher Pawel Kluter

New researcher Pawel Kluter

Pawel Kluter joined the Department of Remote Sensing as a Research Associate in November 2020. His main role is the deployment of Data Cubes in cloud environments (Front End / Back End), as well as the development of remote sensing processing routines using Python....