Feed on
Posts
Comments

Tag Archive 'vegetation'

In recent years, small-footprint full-waveform airborne laser scanning has become readily available and established for vegetation studies in the fields of forestry, agriculture and urban studies. Independent of the field of application and the derived final product, each study uses features to classify a target object and to assess its characteristics (e.g., tree species). These [...]

Read Full Post »

The LiDAR Research Group (LRG) of GIScience Heidelberg is contributing novel approaches for geological outcrop characterization, LiDAR simulation, tree classification as well as education in close-range sensing. You are kindly invited to visit our presentations at the ISPRS Congress 2016 in Prague. Furthermore our new HELIOS LiDAR Simulator will participate in the [...]

Read Full Post »

The LIDAR Research Group (LRG) present a new release of LVISA: plotting out of the map.
Besides the 3D presentation of a selected tree, plots with respect to feature statistic as well as the comparison to corresponding tree species, family and class are now also available.
Who has not heard of LVISA:
LVISA is a novel [...]

Read Full Post »

The LIDAR Research Group (LRG) released LVISA - a novel system for analyzing point clouds of vegetation. This system examplifies a web-based laser scanning database for the management and analysis of tree reference signatures. It combines techniques and methods of LiDAR and 3D GIScience.
We present a new release of LVISA including re-designed and re-implemented client [...]

Read Full Post »

The Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation was held at the University of Cologne, Germany. Around 120 participants discussed the topics UAVs, Vegetation Monitoring, Hyperspectral Vegetation Analysis, Multispectral Vegetation Analysis, 3D-Approaches, Vegetation Indices, Laserscanning and Stereo Photogrammetry.
The LiDAR Research Group, represented by Kristina Koenig, attends the Workshop with two posters, dealing with [...]

Read Full Post »