Page 92 - CIWA Water Data Revolution Overview Report

• Leveraging cutting-edge technologies. Technologies/tools aligned with the latest
advancements in data and analytics were prioritized.

4 Topics, technologies and tools covered during training workshops

a) Collecting & Organizing Data for Transboundary Basins (In-Situ, Earth Observation,
Apps)
Presented various methodologies for gathering and structuring data pertinent to
transboundary basins. It explored traditional in-situ measurements, advancements in
Earth Observation technologies, and the role of innovative applications in collecting and
organizing essential data for comprehensive water management.
On knowledge aspects, platforms where knowledge of available tools for modeling
different aspects related to water resources were also showcased.

- World Bank Disrupting hydroinformatics e-book. Interactive resource introducing
modern hydroinformatics concepts through multimedia, providing users with a quick
overview and the ability to explore specific areas in depth, while also offering access
to recent knowledge resources, reports, articles, and technologies in the field of
HydroInformatics.
- Model Primer. A foundational guide introducing common numerical models used in
water and natural resources management. It assists users in identifying and selecting
the most appropriate model for specific questions related to water and/or natural
resource management.
- World Bank Spatial Agent Hydroinformatics Data portal: A comprehensive collection
of mapped indicators covering water, disaster, climate, environment, and socio-
economic aspects from diverse sources, providing valuable insights for informed
decision-making.

b) Access to data and Analytics
The workshop addressed the importance of robust platforms designed for seamless
access, efficient analytics, and intuitive visualization of water-related data. Insights were
provided into the selection and utilization of platforms that facilitate comprehensive data
management and analysis in the context of transboundary water resources.

• Sentinel imagery Hub. Engine for processing of petabytes of satellite data. It is opening
the doors for machine learning and helping hundreds of application developers
worldwide. It makes Sentinel, Landsat, and other Earth observation imagery easily
accessible for browsing, visualization, and analysis.
• World Bank’s geospatial platform. User-friendly web-based tool for spatial analysis,
seamless dataset exploration, and mapping. Users can define areas of interest, apply

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