Over the last decades, remote sensing applications have been developed for every aspect of the water cycle, from rainfall to flood monitoring, over vegetation evapotranspiration and to follow-up on groundwater and soil water resources. This has enabled new tools for water resources management that have been highlighted in the strategic plan of the VIIIth Phase of the UNESCO International Hydrological Programme (IHP) for the period 2014-2021. More specifically, within Theme 1 - ‘Water-Related Disasters and Hydrological Change’, a specific focal area was added on water resources management ‘benefiting from global and local Earth observation systems’.

In this context, the potential of remote sensing techniques to monitor hydrological extremes such as floods and droughts, to monitor water quality, and to support hydrological models is not yet entirely explored nor is it adequately used. In addition, there is a need for improved frameworks to assimilate or integrate remote sensing data into hydrological modeling systems. Having sufficient ground truth information against which remote sensing algorithms can be validated and improved is also critical to effective measurement of water resources. New data sources, such as satellite remote sensing, wireless sensors, acoustic Doppler profilers, and radar are triggering the need for continued training.

Therefore, a 10-day course is designed within the project ‘Managing Water resources for Arid and Semiarid Regions of Latin America’ (MWAR-LAC), funded by the Flemish Government, in collaboration with project partners to advance conceptual and practical training in remote sensing applications for water resources management. 

MWAR LAC - Managing Water Resources in Arid and Semi-Arid Regions of Latin America and the Caribbean