EGU session: Mapping, Monitoring & Modelling of Vegetation Characteristics using Earth Observation

EGU session: Mapping, Monitoring & Modelling of Vegetation Characteristics using Earth Observation

November 27, 2015

Our EGU session “Mapping, Monitoring & Modelling of Vegetation Characteristics using Earth Observation” got accepted and is now online.

The EGU, the General Assembly of the European Geosciences Union, is held at the Austria Center Vienna (ACV) in Vienna, Austria, from 17–22 April 2016.

Remote sensing, be it in the form of satellite imagery or aerial photography from manned aircrafts or UAVs, has proven its potential as a unique tool for retrieving vegetation properties at the local, the regional and global scales. Over the last decades, a substantial amount of work has been allocated to the retrieval of vegetation characteristics, e.g. mapping of the extent of vegetation cover, monitoring of vegetation condition using the NDVI or other indices, monitoring forest cover trends, monitoring the expansion of bushes in the expense of palatable grasses in the drylands, woody structure modelling and mapping using Synthetic Aperture Radar data, extracting structural vegetation components from LiDAR for biomass estimation, combining hyperspectral and LiDAR data for upscaling vegetation structural information, to mention but a few. Numerous satellite missions are currently being used to quantify such characteristics in a wide range of temporal and spatial resolutions; new missions with improved capacities are constantly becoming available or planned for the near future in an ever-increasing rate. However, the use of remote sensing for mapping, monitoring or modelling vegetation characteristics is clearly not problem-free: quite the contrary. Within this context, we welcome studies that present novel approaches of mapping, monitoring and modelling vegetation characteristics. We endeavour this session to provide the platform for the analysis of the benefits as well as the pitfalls of using aerial photography, UAVs, LiDAR, Radar, hyperspectral or multi-spectral satellite data in this field.

Compton J. Tucker by NASA will be the keynote speaker.

chairs: Elias Symeonakis, Hanna Meyer, Thomas Higginbottom, Martin Wegmann

more details here:

http://meetingorganizer.copernicus.org/EGU2016/session/21860

you may also like:

Poster Presentation at AK Hydrologie, Bonn

Poster Presentation at AK Hydrologie, Bonn

From November 13 to 15, Sofia Haag and Christian Schäfer attended the AK Hydrologie workshop in Bonn, where they presented their work from the EO4CAM project. The first day featured an insightful field excursion to the Ahrtal region, led by Prof. Dr. Jürgen Herget,...

A Glimpse into Our Research: Data on Display in the Foyer

A Glimpse into Our Research: Data on Display in the Foyer

Stepping into the foyer, visitors are now greeted by large, striking images that tell the story of our research through data. Each visual represents a unique scientific perspective – from the Arctic to the cultivated landscapes of Bavaria, and from forest canopies to...

Successful MSc defense by Sonja Maas

Successful MSc defense by Sonja Maas

Big congratulations to Sonja Maas, who successfully defended her Master thesis today on the highly relevant and increasingly pressing topic: LiDAR-Based Acquisition Strategies for Forest Management Planning in a Mature Beech Stand Supervised by Dr. Julian Fäth and...

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Two days ago, our PostDoc Dr. Jakob Schwalb-Willmann visited the Institute for Geoinformatics at University of Münster to give a talk at IFGI’s GI Forum titled “Can animals be used to classify land use? Employing movement-tracked animals as environmental informants using deep learning”.