Drought Impacts III: Agricultural Systems
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Description & Learning objectives |
Drought is the most important abiotic stressor, influencing cropping systems and consequently, food security. In this webinar, we explain the characteristics and importance of agricultural drought compared to other droughts (e.g. meteorological, hydrological, etc.).
We introduce the capability of global crop water models and remote sensing approaches in the detection of drought signal on specific crops at global and regional scales. After a short overview of available drought indicators, and highlighting the difference between drought and aridity, we present the outcomes of two case studies at different scales. The first case study focuses on spatial pattern, frequency and magnitude of drought across different crops and regions at a global scale. The second case study demonstrates the relationships between simulated (model-based) and remote sensing-based drought indicators at a regional scale. We wrap up the webinar by shortlisting some of limitations and challenges we face in drought monitoring studies.
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Duration |
Date: 04/08/2020
Time: 14:00 to 15:00 (CEST)
The webinar will last around one hour. 30 minutes presentation, 30 minutes Q&A.
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Speakers |
Ehsan Eyshi Rezaei (University of Göttingen)
Dr. Ehsan Eyshi Rezaei is a Post-Doctoral researcher at Crop Science Department University of Göttingen, Germany. His work is focused on development and application of dynamic crop models to analysis of cropping systems response to climate variability and change over spatial scales.
Hamideh Nouri (University of Göttingen)
Dr. Nouri is a senior researcher at the Division of Agronomy, University of Göttingen, Germany. She is experienced in academia and industry as a research scientist and consultant in different countries, including Germany, the Netherlands, Australia, USA, Japan, Malaysia, China, and Iran. Her career has covered the broad range of water engineering and management in rural, urban and riparian areas in different geographical and climate settings using in-situ, modelling and remote sensing approaches.
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Webinar hosts
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Registration Link |
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