Application is now open for those interested in participating in the training course funded by the European Facility for Airborne Research (EUFAR) through EU’s 7th Framework Programme will be held at the Bavarian Forest National Park and DLR from 3th to 14th of July 2017. 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 course features Dr. Hooman Latifi from the Dept. of Remote Sensing of the University of Würzburg.
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 the 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.
We are very proud that some of our former M.Sc. students published a peer-reviewed article about the importance of remote sensing training approaches “More than counting pixels – perspectives on the importance of remote sensing training in ecology and conservation”.
From the abstract:
As remote sensing (RS) applications and resources continue to expand, their importance for ecology and conservation increases – and so does the need for effective and successful training of professionals working in those fields. Methodological and applied courses often form part of university curricula, but their practical and long-term benefits only become clear afterwards. Having recently received such training in an interdisciplinary master’s programme, we provide our perspectives on our shared education. Through an online survey we include experiences of students and professionals in different fields. Most participants perceive their RS education as useful for their career, but express a need for more training at university level. Hands-on projects are considered the most effective learning method. Besides methodological knowledge, soft skills are clear gains, including problem solving, self-learning and finding individual solutions, and the ability to work in interdisciplinary teams. The largest identified gaps in current RS training concern the application regarding policy making, methodology and conservation. To successfully prepare students for a career, study programmes need to provide RS courses based on state-of-the-art methods, including programming, and interdisciplinary projects linking research and practice supported by a sound technical background.
Bernd, A., Braun, D., Ortmann, A., Ulloa-Torrealba, Y. Z., Wohlfart, C., Bell, A. (2016), More than counting pixels – perspectives on the importance of remote sensing training in ecology and conservation. Remote Sensing in Ecology and Conservation. doi: 10.1002/rse2.27
Are you interested to learn how to apply remote sensing for a variety of topics? Check out our EAGLE study program.
EAGLE: “applied EArth Observation and Geoanalysis for the Living Environment”
EAGLE is an international English language M.Sc. program offered at the University of Würzburg, Germany. It is focusing on Applied Earth Observation and Geoanalysis for the environment. The goal of EAGLE is to strengthen the practical use of applied Earth Observation in research, planning, and decision making, and to unlock the full potential of remote sensing data analyses in your desired field of application.
EAGLE lectures, seminars, and practicals provide in depth methodological knowledge and practical skills, and additionally provide a comprehensive overview of the range of remote sensing applications. The potential of Earth Observation data analyses for research on and management of forest-, agro-, or coastal ecosystems or the urban sphere – to name only a few examples – will be illuminated. Please browse through our courses in order to get a good overview of content and aims.
EAGLE students are subsequently encouraged to further develop and deepen their knowledge and skills tailored to their personal interests during internships and innovation laboratories at international partner institutions of the EAGLE network.
The EAGLE study program is a joint initiative of the Institute of Geography and Geology at the University of Würzburg, led by the Department of Remote Sensing in collaboration with the Earth Observation Center at the German Aerospace Center (DLR-EOC). The courses are taught in English by a team of internationally recognized researchers from diverse backgrounds.
The accredited (120 ECTS) University degree is open for students from a variety of disciplines such as geography, geology, hydrology, ecology, biology, and other fields in environmental sciences and studies.
D. Hooman Latifi from the Dept. of Remote Sensing was invited by the Dept. of Geography at the Universé d’angers for a 2-week block course on forestry applications of LiDAR data. The course was consisted of lectures and practical examples within a two-week intensive campus-based teaching started from February 1st, 2016.
The topic focused on introduction to the analysis of laser scanning data (ALS/TLS) by means of theoretical lectures and practical excercises on computer conducted by participants, followed by group-wise oral presentations on selected subjects on the applied aspects of ALS data. Altogether 7 M.Sc students, 6 PhD students, one technical assistant in cartography and two lecturers attended the course.
Our book “Remote Sensing and GIS for Ecologists – Using Open Source software” is now available. First editor copies arrived already and it looks pretty good. Great to have finally a copy on our desks after all the writing, testing and editing! We hope that you enjoy it as much as we do and that it helps you working with remote sensing and GIS in your research topics.
You can order it here.
All practical examples in this book rely on OpenSource software and freely available data sets. Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software package R.
Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products. We discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis. Extended scripts on how to create professional looking maps and graphics are also provided.
This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.
check the table of content here: http://book.ecosens.org/content/