Training Workshop on the Use of Satellite Data Products for Drought Monitoring

   TwitCount

The International Centre for Integrated Mountain Development (ICIMOD) and the International Maize and Wheat Improvement Centre (CIMMYT)–Bangladesh, in collaboration with the Bangladesh Agriculture Research Council (BARC), aim to establish a drought monitoring and early warning service in the region. They are also working together to promote the use of earth observation and climate model data to support agriculture drought management practices and facilitate adaptation policies in the region. The collaboration is supported by the United States Agency for International Development (USAID) and the National Aeronautics and Space Administration (NASA).

ICIMOD and CIMMYT–Bangladesh, in collaboration with BARC, will conduct a five-day training workshop on the use of satellite data products for drought monitoring under the USAID-funded SERVIR–Hindu Kush Himalaya (SERVIR–HKH) initiative and the Climate Services for Resilient Development (CSRD) in South Asia partnership.

The training workshop aims to build capacity in agriculture and climate scientists on the techniques of data development and analysis for use in drought monitoring. 

The training will impart hands-on skills and knowledge in remote sensing and climate data analysis. The workshop will consist of presentations and hands-on training sessions exploring the potential of gridded rainfall data products produced by the Climate Hazards Group (CHG) for hydrology and agro-metrology.  

The workshop is a training of trainers, and will initiate further trainings by workshop participants to promote institutional capacity to generate data products related to drought. 

Expected Outputs

  • At the end of the course, the participants will be able to:
  • Understand the basics of drought monitoring concepts based on Earth observation data products
  • Develop a basic understanding on weather forecast and early warning systems
  • Evaluate CHG rainfall data products with ground station data
    • Use open source software to:
    • Conduct a time series analysis of vegetation and climate data
    • Blend data from local meteorological stations with satellite estimated rainfall