European Facility For Airborne Research Nov. 21, 2024, 17:07
Entitled, “RS4ForestEBV - Airborne remote sensing for monitoring essential biodiversity variables in forest ecosystems", the 9th EUFAR Training Course, financed by EUFAR and jointly organised together with the Faculty of Geo-Information Science and Earth Observation of the University of Twente, will be held in the Bavarian Forest National Park and the German Aerospace Center - DLR in Oberpfaffenhofen from 3 to 14 July 2017.
Forest management requires the use of comprehensive remote sensing data which enable monitoring biodiversity changes. Biophysical and biochemical vegetation parameters can characterise changes in biodiversity through changes in ecosystem structure and function. In this training course, the special skills required for processing the new generation of airborne hyperspectral, thermal, and LiDAR data for retrieving essential biodiversity variables in forest ecosystems will be presented.
The ground data collection that will be performed during the first week of the training course at the Bavarian Forest National Park aims to provide the participants (PhD students, post-docs and university lecturers) with knowhow on tools (field spectroscopy, thermal spectrometry and terrestrial LiDAR) and measurement techniques to collect different vegetation variables. In addition, an airborne campaign with a NERC Twin Otter for concurrent acquisitions of hyperspectral imaging data in visible, near-infrared, shortwave-infrared and longwave-infrared (thermal) wavelengths as well as LiDAR data (with full wave form component) will be organised during the training course if the weather conditions allow.
Data acquired during the training course as well as archived data will be processed and analysed in the hands-on sessions with the support of experienced users of airborne facilities and form the basis for the final scientific report. RS4forestEBV data will also be made available after the training course via the EUFAR website, accessible to all EUFAR registered members.
Furthermore, during the second week, participants will be able to attend certain sessions of the 2nd International Conference on Airborne Research for the Environment (ICARE) that will be held simultaneously on the DLR premises from 10 -13 July 2017.
To download the RS4ForestEBV flyer, click here.
Click here to download the photobook of all RS4ForestEBV students.
Click here to download the photobook of all RS4ForestEBV trainers and organisers.
Click here to download the RS4ForestEBV travel and information guide.
Photo Gallery: EUFAR RS4ForestEBV Training Course, July 2017
Through this training course, participants will learn:
The target audience is early-stage researchers (PhD students and post-docs) and a limited number of university lecturers. For the early-stage researchers, a scientific knowledge-base in remote sensing, biology, forestry and some experience in the use of geo-information and image analysis software is required to participate in this training course.
Early-stage researchers (PhD students and post-docs) and university lecturers working in an institution established in a European Member State or Associated State are eligible to apply to join the EUFAR training course and are also eligible for T&S support through EUFAR.
Early-stage researchers (PhD students and post-docs) and university lecturers working in non-EU or non-EU Associated State institutions may apply to join the EUFAR training course but if accepted will have to finance their own travel and accommodation.
All trainees should confirm that they have travel and field work insurance provided by their home institute before attending the course.
The participants of the training course will be selected by the RS4ForestEBV Evaluation Committee based on CV/scientific background, interest, expectations and contribution to the training course.
E. Neinavaz (Uni. of Twente)
H. Latifi (University of Wurzburg)
R. Darvishzadeh (Uni. of Twente)/S. Holzwarth (DLR)
A programme is available here.
The programme might be subject to small changes.
EUFAR Education and Training (I. Reusen)
Research and Conservation in the Bavarian Forest National Park (M. Heurich)
Sumava National Park (M. Stary)
Introduction to Data: Hyperspectral Thermal (E. Neinavaz)
Remote Sensing of EBVs for Global Change Monitoring (A. Skidmore)
Sampling Design (T. Wang)
Introduction to LiDAR: Theory, Sensors and Measurement Principles (H. Latifi)
Introduction to Date Source: Hyperspectral (M. Bachmann)
Introduction to the Design of the Flight Plan (G. Llewellyn, S. Holzwarth)
Introduction to the DLR Data Stream Analysis (S. Holzwarth)
CODE-DE Copernicus Data and Exploitation Platform for Germany (A. Mueller)
EnMap: Introduction to the Future Hyperspectral Satellite Mission (T. Storch)
Introduction to Calibration Home Base of DLR (A. Baumgartner)
Tree Species Classification (N. Pinnell)
Analysis of Field Data (E. Neinavaz)
Image Pre-Processing and Processing (E. Neinavaz)
Hyperspectral Image Preprocessing (M. Bachmann)
Data Fusion Hyperspectral & LiDAR (R. Van De Kerchove)
Vegetation Attributes & LiDAR (N. Coops)
Modelling the EBVs (E. Neinavaz)
Inversion of Radiative Transfer Model 'INFORM' (C. Atzberger)
Click here, to download the scientific group report template.
To download the training course scientific report, click here (accessible to EUFAR registered members).
The training course will take place at the following venues:
Bavarian Forest National Park (3-9 July)
DLR site Oberpfaffenhofen (10-14 July)
Selected early-stage researchers (PhD students and post-docs) and university lecturers working in an institution established in a European Member State or Associated State:
Travel and subsistence expenses will be 100% supported by EUFAR (this includes travel to training course location, transfers, accommodation, meals, etc.). Rooms reservations will be made by EUFAR at the following hotels:
All travel tickets will be booked and paid directly by the EUFAR Office (unless agreed otherwise with the EUFAR Office in advance). This is to avoid complicated procedures for later reimbursement.
Flight/ train tickets must be booked, if reasonably possible, at least 2 months before the departure date in order to get the most favourable rate. All travel must be done at the economical rate.
Selected early-stage researchers (PhD students and post-docs) and university lecturers working in non-EU or non-EU Associated State institutions:
These participants will have to finance their own travel. Rooms may be booked by EUFAR on request but this will be at the participant's own expense.