Page 94 - CIWA Water Data Revolution Overview Report

scalability, accessibility, and real-time analysis, promoting efficiency and accuracy in
water data management.

• Google Earth Engine. A computing platform that allows users to run geospatial analysis
on Google's infrastructure to assess a variety of issues such as deforestation, drought,
disaster, disease, food security, water management, climate monitoring, and
environmental protection.
• 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
analyses for in-depth insights, and browse satellite collections with direct
visualization on the map.
• Arc GIS web app Web-based application on the ArcGIS platform for creating, sharing,
and interacting with maps and spatial data. Offers functionalities such as mapping,
data visualization, and analysis tools, providing an accessible interface for exploring
geospatial information.
• Hydroweb Provides information on continental surface hydrology state variables from
various satellite data for users, whether scientific or not.
• Geo Aquawatch Offers global-scale, open-access water quality information for inland
and coastal waters. Targets users in the science community, water resource managers,
and the general public.
• Earth map. Facilitates quick historical environmental and climate analysis on Google
Earth Engine, providing access to complex land monitoring without coding.
• Climate engine. Powered by Google Earth Engine, creates on-demand maps and charts
from publicly available satellite and climate data using a standard web browser.

e) Use of Artificial Intelligence (AI)
This session covered the integration of Artificial Intelligence (AI) in water data analysis.
This included a specific focus on the ChatGPT family of Generative AI, showcasing its
capabilities in interpreting and generating insights from water-related data and
information.

ChatGPT possesses advanced language processing and generation capabilities, enabling
it to understand context, provide detailed responses, and even generate complex
technical content. It can assist water resources specialists by providing technical
information, answering conceptual questions, drafting reports, summarizing information
and more. It also possesses coding capabilities that allow users to obtain assistance with
coding tasks related to water resources management, such as developing algorithms for
hydrological modeling, analyzing datasets, or implementing specific features in software
tools.

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