New RapidEye datasets granted from RESA platform of DLR/Black Bridge

New RapidEye datasets granted from RESA platform of DLR/Black Bridge

The Dept. of Remote Sensing recently applied for a time series of 12 RapidEye scenes to support a PhD thesis by Siddhartha Khare (Indian Institute of Technology Roorkee, India). The proposal is now accepted, and th PhD work will be supported by a dense time series of RapidEye scenes acquired in 2013 over dry forests in Lesser Himalayan region of India.

The PhD thesis which will use these processed datasets is entitled  “Object Based approaches for remote sensing-assisted assessment of forest biodiversity focusing on invasive species”, supervised and advised by Prof. S.K. Ghosh (IIT Roorkee) and Dr. Hooman Latifi (University of Würzburg). Additional multisource datasets to be used within the work include time series of Landsat 8 data and Cartosat 2-derived terrain model.

RESA already published this project in RESA project map 2015 which can be found online HERE. The project area is flagged under No. 120 (project number 184) in the map.

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New RapidEye datasets granted from RESA platform of DLR/Black Bridge

New RapidEye datasets granted from RESA platform of DLR/Black Bridge

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.

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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.
PhD position: Climatic impacts on phenology of grassland and crops – APPLICATION CLOSED

PhD position: Climatic impacts on phenology of grassland and crops – APPLICATION CLOSED

Tunilogo-1024x449he MICMoR Research School on Mechanisms and Interactions of Climate Change in Mountain Regions is an interdisciplinary and international graduate program providing high quality training for doctoral students in the field of climate change research. Its research focus is to understand climate change processes in mountain regions through research at the interfaces of the atmosphere, biosphere, pedo- and hydrosphere. MICMoR is funded by the Helmholtz Association and hosted by KIT’s Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU) in Garmisch-Partenkirchen, Germany. MICMoR Partners are the Universities of Munich (LMU and TUM), Augsburg, Bayreuth and Würzburg, as well as the German Aerospace Center in Oberpfaffenhofen and the Helmholtz Center Munich.

MICMoR Research School invites applications for

3 Full Fellowships for Doctoral Students

from highly motivated and enthusiastic students with a keen interest in interdisciplinary MICMoR-related research and with an excellent degree (Master or Diploma) in a climate change discipline, such as physics, meteorology, geography, biology, environmental sciences or related areas.

Successful candidates are expected to work on one of the 3 following doctoral projects, with the supervisors listed, and affiliated to KIT/IMK-IFU, the University of Würzburg or TUM Munich:

  1. Analysis of meso- and microscale hydrometeorological fluxes in TERENO preAlpine using WRF-LES (Harald Kunstmann, KIT/IMK-IFU & University of Augsburg, harald.kunstmann@kit.edu
  2. Climatic impacts on phenology of grassland and crops along a transect through altitudinal zones using remote sensing (Christopher Conrad, University of Würzburg, christopher.conrad@uni-wuerzburg.de)
  3. Emission of allergenic grass pollen from TERENO preAlpine observatory sites (Annette Menzel, TUM Munich, amenzel@wzw.tum.de

For more detailed descriptions of the doctoral projects see http://www.micmor.kit.edu/application-2015-project-description.

Fellowships will start in fall or winter 2015 and be awarded for up to 3 years. Fellows will receive a tax-free monthly fellowship of 1.365 EUR plus health insurance allowance and a family allowance if applicable.

Applicants please contact one of the above scientists to state your interest in one of the 3 topics with brief information on your academic background. Suitable candidates will receive more detailed information on the application process and guidelines. The deadline for applications is August 15, 2015.

MICMoR Research School is committed to diversity and equal opportunities. It explicitly welcomes applications from abroad and encourages women to apply.

For further information on MICMoR, its research and training program, its partners and the Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU) please visit our homepage or contact us: info@micmor.kit.edu.