Projekt

Water mismanagement and climate change jeopardize sustainability of agriculture in the world's arid zones such as those in the Aral Sea Basin. There, rural population is growing and both, rural livelihoods and food crop production need to be sustained to achieve the UN-SDG 2 (ending hunger, achieve food security and improved nutrition and promote sustainable agriculture). One valuable information for national and regional management in the ASB is the information about the wheat yields expected at the end of the season. Regression analysis between remote sensing data together with harvest information as conducted in the LaVaCCA project funded by Volkswagen Foundation 2015-2018 may allow to predict the crop yields in early stages, however with a comparably low accuracy and for local conditions only. In LaVaCCA, also a light use efficiency (LUE) model was tested for yield modeling, but on the scale of MODIS data (250m) and in a retrospective view only. This project OPCM aims at the optimization of a LUE model for yield predictions of winter wheat, with Sentinel-2 data and synthetic time series at the scale of ~30 m pixel resolution. A LUE-model based on R-statistical software and a C-library for data fusion (generation of high-resolution time series) will be utilized and adjusted. The inclusion of climate model data provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) is proposed. The applicant will cooperate with the German project partner in the field of yield modeling, data fusion, and utilization of gridded meteorological data. GIS and remote sensing courses are foreseen. The output can support the national crop-monitoring program of Uzbekistan. The project will increase the knowledge about key geographical technologies in Central Asia, e.g. for calculating key indicators in the SDG framework.

• Prof. Dr. Christoph Schuck

  Technische Universität Dortmund
  Fakultät 14 - Humanwissenschaften und Theologie
  Institut für Philosophie und Politikwissenschaft
  Dortmund
  

• Dr. Murodjon Sultanov

  Urgench State University
  Department of Geodesy, cartography, geography
  Urgench
  Usbekistan
  

• Prof. Dr. Andreas Vasilache

  Universität Bielefeld
  Fakultät für Soziologie
  Arbeitsbereich 4 - Politik und Gesellschaft
  Bielefeld
  

• Dr. Michael Thiel

  Universität Würzburg
  Institut für Geographie und Geologie
  Würzburg
  

• Prof. Dr. Christopher Conrad

  Universität Halle-Wittenberg
  Institut für Geowissenschaften und Geographie
  Halle (Saale)