From 5 – 8 October 2015, the 3rd international conference on Phenology was held at Kusadasi/Turkey. It was jointly hosted by the Humboldt-University of Berlin and the Adnan Menderes University Aydin. 86 contributions from scientists of 23 countries were presented on the topics “Phenological observations, networks, data collection”, “Climate variablilty, change and trends”, “Phenological modelling”, and “Challenges, new approaches and progress”.
Within the session “Remote Sensing and Phenology”, Carina Kübert presented ongoing work of her PhD thesis on “Deriving phenological layers for Germany from remote sensing data: spatio-temporal analysis and validity”. One of our MSc students, Jeroen Staab, co-authered a presentation given by our former colleague Sarah Asam (now EURAC, Italy), showing first results of phenological monitoring for the entire Alps. Jeroen helped to derive phenological metrics during his internship at EURAC.
More details in the programme and abstract book (published by the German Meteorological Service (DWD)) which can be downloaded from the conference homepage
More details can also be found on twitter using the hashtags: #phenology #phenology2015
The Department of Remote Sensing recently applied for a time series of RapidEye scenes to support a PhD thesis by Christian Bauer (Dep. of Remote Sensing, Würzburg) in the context of the project LaVaCCA. The proposal has recently been accepted, and the PhD work of Christian Bauer will be supported by a time series of RapidEye scenes acquired over two irrigated landscapes, Khorezm and Elliqkala, in Uzbekistan.
The Dept. of Remote Sensing recently applied for a time series of 7 RapidEye scenes to support a PhD thesis by M.Sc Omid Karami (Sari University of Agricultural and Natural Resources Sciences, Iran). The proposal is now accepted, and th PhD work will be supported by a time series of RapidEye scenes acquired between 07.2009 and 09.2014 over a semi-Meditteranean forested site in Lorestan province in Western Iran.
The PhD thesis which will use these processed datasets is entitled “Monitoring and modelling of Zagros forest oak decline using high resolution satellite data”, supervised and advised by Dr. Asghar Fallah (Sari University of Agricultural and Natural Resources Sciences), Dr. Shaban Shataee (University of Gorgan) and Dr. Hooman Latifi (University of Würzburg). Additional multisource datasets to be used within the work include very high resolution data from Quickbird and World View-2.
RESA already published this project in RESA project map 2015 which can be found online HERE. The project area is flagged under No. 104 (project number 168) in the map.
The RapidEye Science Archive (RESA) supported by DLR (BMWi) and Black Bridge AG supports scientific projects with German participation through the provision of free image data of the RapidEye satellite constellation. The projects are given the opportunity on an extensive image archive to get current and archived satellite image data to ensure optimal support for individual research projects.
Land cover map 2014
The Central Asia research team at the Department of Remote Sensing, Würzburg University, recently started investigating potential risk areas for infestation of the Asian Migratory locust, Locusta migratoria migratoria L., in the Aral Sea basin.