by Sarah Schoenbrodt-Stitt | Jun 20, 2017 | events, News Agriculture, News training, Uncategorized
42 young master and PhD students as well as junior university teachers and specialists from government agencies and research institutions participated into the two-week 4th CAWa Summer School “Methods and Tools for the Assessment and Monitoring of Central Asian Water and Land Resources” (June 5-17, 2017) that was hosted by the German-Kazakh University in Almaty, Kazakhstan. Participants came from Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan as well as from Afghanistan and Pakistan.
During the first week (June 5-8, 2017), trainers from the Department of Remote Sensing at the University of Würzburg (Lucia Morper-Busch and Dimo Dimov) together with two co-trainers from Uzbekistan (Sherzod Zaitov, SIC ICWC) and Kazakhstan (Almas Kitapbayev, DKU) trained the participants in the use of open-source GIS software (QGIS Desktop-2.18 with Orfeo Toolbox and several plugins) for spatial analyses and in the processing, analyses, and interpretation of satellite images (e.g., raster image analysis and land use classification). Furthermore, they provided an overview of remote sensing applications for water and land resource monitoring and introduced the participants into the online information tool WUEMoCA (Water Use Efficiency Monitor in Central Asia) that is developed at the Department of Remote Sensing in Würzburg together with Central Asian partners.
Participants and trainers in the 4th CAWa Summer School (module ‘Introduction to GIS and Remote Sensing’ in the first week of summer school) in front of the German-Kazakh University in Almaty, Kazakhstan.
This year’s CAWa Summer School was already the fourth in a row. It was organized by the CAWa Project (funded by the German Federal Foreign Office; http://www.cawa-project.net) and by the German-Kazakh University in Almaty (Kazakhstan) in cooperation with the Nazarbayev University (Department of Civil Engineering, School of Engineering) in Astana (Kazakhstan) and the Fribourg University (Physical Geography) in Fribourg (Switzerland). Focus was set on innovative methods and tools for the analysis and monitoring of water and land resources in Central Asia that are of great value in integrated water and land resource management. Therefore, theoretical lectures and practical exercises were combined with discussion sessions on the implementation of new methods and instruments for managing the water and land resources. The program included an in-depth introduction to GIS, an overview of remote sensing applications for water and land resource monitoring, an introduction to climatological data analysis, and an introduction to glaciology.
by Dept. of Remote Sensing | May 8, 2017 | News, News Agriculture, News Biodiversity, News Conservation, News Forestry, News Students, News training
The EAGLE MSc. application deadline for the upcoming winter term is approaching. Apply within the next 7 days: http://eagle-science.org/apply – all details about needed documents are listed on this page.
Learn within EAGLE how to apply remote sensing for a variety of environmental applications, explore new methods and collaborate with other disciplines. Also read the news by our EAGLE students on their webpage.
More details about the study program or the courses can be found here:
http://eagle-science.org/about/
http://eagle-science.org/courses/
http://eagle-science.org/specialization/
by Hooman Latifi | Apr 26, 2017 | MSc thesis, News Agriculture, News Biodiversity, News Conservation, News Forestry, News Phenology, News training
Following the purchase and operaration of our two low-budget UAVs suring 2016 and 2017, a best practice tutorial of how to use the devices was written by Marius Röder, Steven Hill and Hooman Latifi, and it is now available in two English and German versions. This tutorial assumes no prior knowledge of the reader on handling low-budget Unmanned Aerial Vehicles in ecological and environmental contexts. It initially includes general infos on preperation and constellation of a typical UAV system, followed by instructions on planning and implementation of UAV flights using the available commercial software, importing the acquired imagery, relative orientation, optimization of camera parameters, generation of dense point clouds and finally digital surface modeling of the point clouds. The tutorial eventually includes lessons learned, tipps and tricks on further processing and potential applications of the UAV topographic products.
The tutorial can be retrieved here on Research Gate.
by Dept. of Remote Sensing | Feb 17, 2017 | News, News Agriculture, News Biodiversity, News Conservation, News Forestry, News Students, News training
The application is opened to apply for the EAGLE M.Sc. program starting in winter 2017 (mid of October).
The application deadline is May 15th 2017 (23:59, CEST). Please feel free to contact us beforehand to discuss open questions but please check our FAQ first.
EAGLE is providing applied remote sensing courses for a variety of application fields. Browse through our courses and explore the potential of applied Earth Observation.
The study program is held in english at the University of Wuerzburg, Bavaria, Germany and the student fees are roughly 200 EUR per year. The winter term starts in October.
The application procedure is described on this webpage as well as further information about the german study regulation are listed.
Please also check the webpages of our EAGLE students: http://students.eagle-science.org
Looking forward to your application!
by Dept. of Remote Sensing | Jan 27, 2017 | News, News Agriculture, positions, PostDoc
Postdoctoral Research Associate (TV-L E13)
Remote Sensing based Assessment of Cotton Production in Pakistan
The Department of Remote Sensing, University of Würzburg, is looking for a self‐motivated and team‐oriented fulltime (100%) Post-Doc research associate, starting from March 2017 until February 2020. The successful candidate will conduct her/his work in the context of the international project InoCottonGrow (Innovation to Reduce the Water Footprint of the Global Cotton Textile Industry towards the SDGs of the UN) funded by the German Federal Ministry for Education and Research (BMBF). Focus is set on remote sensing of water use efficiency and productivity of cotton production to support the assessment of the water footprint of cotton. The methods will be developed in Pakistan and transferred to Turkey. In case of mutual interest of the department and the successful candidate, a further career at the department is possible. The call is conditional on the decision of project funding.
Our department:
The Department of Remote Sensing is based within an institutional cooperation with the German Aerospace Center (DLR), especially with the German Remote Sensing Data Center (DFD). The research of the department focuses on the development and application of remote sensing methods in the core fields of “sustainable land management”, “ecosystem functioning, and biodiversity” as well as “applied environmental modelling and forest inventory”. We are an ambitious team of young scientists at PhD and Post Doc level. We offer to work in a strong international network with numerous organizations in research and practice, particularly in Central and South Asia and West Africa. To gain teaching experience we offer to contribute to our international MSc study programme in remote sensing and GIS (www.eagle-science.org) and to our international MSc study programme Global Change Ecology at the University of Bayreuth.
Requested fields of research and main tasks:
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Remote sensing and GIS analysis for environmental modelling of biophysical variables (evapotranspiration and biomass/crop yield) as well as crop mapping,
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Specification and implementation of indicators for cotton production assessment,
- Work effectively as a researcher as part of a multi-disciplinary national research team, to undertake independent scientific investigations and carry out/delegate associated tasks,
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Communication and active design of implementation in cooperation with partners, including short research visits to the partner organizations, field trips, and organization of workshops and team meetings,
-
Support in supervision of PhD, MSc, and BSc students in the context of the project.
Expected skills and competences:
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High-quality doctoral degree (summa / magna cum laude or equivalent) in geography or related fields,
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A sound knowledge in programming and remote sensing, and good skills in GIS (e.g. QGIS, ArcGIS),
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International research experience, at the same time a strong orientation towards implementation and willingness to engage in collaboration across scientific disciplines and with project partners in Central Asia and Africa,
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Well-founded experience in project management and project coordination is advantageous,
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Successful publication history, particularly in peer reviewed refereed journals,
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Excellent English skills (both written and spoken),
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Good ability to represent the research team effectively internally and externally, including at national and international conferences
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Professional and respectful behaviour and attitude in a collaborative environment.
The successful candidate will receive a position for three years (TV-L E13). Please submit your application (in English) and including the reference number 2017/InoCottonGROW) containing a cover letter, motivation letter (2 pages maximum), curriculum vitae with list of publications and project history, copies of diplomas, certificates or references from employers, by E-Mail to Prof. Dr. Christopher Conrad, University of Würzburg: christopher.conrad@uni-wuerzburg.de.
Further information:
Application must be submitted by February 6th 2017. For further information on the Department of Remote Sensing, candidates are encouraged to consult the department’s website http://www.geographie.uni-wuerzburg.de/en/fernerkundung_neu/startseite/.The University of Würzburg is an equal opportunity employer that tries to increase the number of women in research and teaching. Applicants with disabilities but otherwise equal qualifications will be preferred.
by Dept. of Remote Sensing | Jan 25, 2017 | News Agriculture, News Projects, positions, PostDoc
Postdoctoral Research Associate (TV-L E13)
Remote Sensing of Biophysical Parameters for Agricultural Monitoring
The Department of Remote Sensing, University of Würzburg, is looking for a motivated and team‐oriented fulltime (100%) Post-Doc research associate, starting from March2017 until August 2018.
The announced position is related to the project “Global Agricultural Monitoring. The German contribution”(GLAM.DE), which addresses the development of local, economically viable services in the field of agriculture. Scientific core objective is the development of innovative
methods for agricultural monitoring on the basis of high‐resolution missions (e.g., Sentinel). The project focuses on biomass and crop modelling as well as on monitoring of plant conditions and growth conditions, which are targeted by international activities such as GEOGLAM and Copernicus. Within the project we workclosely with the longstanding calibration and validation sites DEMMIN in Mecklenburg‐Western Pomerania. The partners involved in the project are the German Research Centre for Geosciences (GFZ), the German Aerospace Center (DLR) and green spin GmbH.
In case of mutual interest of the department and the successful candidate, a further career at the department is possible.
Our department:
The Department of Remote Sensing is based within an institutional cooperation with the DLR, especially with the German Remote Sensing Data Center (DFD). The research of the department focuseson remote sensing methods in the core fields of “sustainable land management”, “ecosystem functioning, and biodiversity”as well as“applied environmental modelling and forest inventory”. We are an ambitious team of young scientists at PhD and Post Doc level. We offer to work in a strong international network with numerous organizations in research and practice. To gain teaching experience we offer to contribute to our international MSc study programme in remote sensing and GIS (
www.eagle‐science.org) andto our international MSc study programme Global Change Ecology at Bayreuth
University.
Requested fields of research and main tasks:
- Coordination of the project GLAM.DE
- communication and active design of implementation in cooperation with partners, including organization of workshops and project meetings,
- Algorithm development for the derivation of vegetation parameters (biomass, LAI, FPAR, etc.) from optical and SAR remote sensing data,
- Research on evaluation methods for agricultural satellite products within international activities (GEOGLAM) among others, in intensive cooperation with DEMMIN (http://demminweb.dlr.de/) and with the Joint Experiment for Crop Assessment and Monitoring (JECAM),
- Work effectively as a researcher as part of a multi‐disciplinary national research team, to undertake independent scientific investigations and carry out/delegate associated tasks, and
- Support in supervision of PhD, MSc, and BSc students in the context of the project.
Expected skills and competences
- High‐quality doctoral degree (summa / magna cum laude or equivalent) in geography or related fields,
- A sound knowledge in programming and remote sensing, experience in the processing of SAR (and optical) data as well as in data mining techniques,
- Experience in international research, project management and project coordination is advantageous,
- Successful publication history, particularly in peer reviewed refereed journals,
- Excellent English skills (both written and spoken),
- Good ability to represent the research team effectively internally and externally, including at conferences, and
- Professional and respectful behaviour and attitude in a collaborative environment
The successful candidate will receive a position for 1.5years (TV-L E13). Please submit your application (in English or German) and including the reference number 2017/GLAM.DE) containing a cover letter, motivation letter (2 pages maximum), curriculum vitae with list of publications and project history, copies of diplomas, certificates or references from employers, by E-Mail to Prof. Dr. Christopher Conrad, University of Würzburg: christopher.conrad@uni‐wuerzburg.de.
Further information:
Application must be submitted by February 6th 2017. For further information on the Department of Remote Sensing,candidates are encouraged to consult the department’s website http://www.geographie.uni‐wuerzburg.de/en/fernerkundung_neu/startseite/. The University of Würzburg is an equal opportunity employer that tries to increase the number of women in research and teaching. Applicants with disabilities but otherwise equal qualifications will be preferred.
