Artificial Intelligence

"Intelligence demonstrated by machines. Can be specific to some tasks or be generally intelligent in a range of fields or in all fields. This technology is being developed to analyse large data sets. Space is a major source of large data sets about the Earth and the Cosmos so AI has potential applications in analysing space data". (Nilsson 2014)

Sources

Nilsson, Nils J. Principles of artificial intelligence. Morgan Kaufmann, 2014.

Related Content

Article

An overview of digital twins in water systems

Short summary: Digital twin (DT) technology for water systems is currently blooming. How are DT applied in water systems and why did they become so popular? In this article, the framework of DT and crucial technologies to build them such as space-based satellites, modern communication technologies, artificial intelligence, etc. are revealed to present how DT functionality is implemented. Application scenarios of DT from global to regional are shown with typical examples for modeling the global water cycle, regional floods, and urban water supply systems. Though DT offers a valuable solution in the context of water systems, attention needs to be given to accuracy, interoperability and data security of DT. DT can be smart systems, helping in comprehensive analysis to support decision making.

Monitoring runoff using Earth observation data

When rain falls on Earth, the water starts moving and flowing downhill through sewers and rivers as runoff. Runoff is extremely important to recharge surface water bodies and groundwater. Furthermore, runoff changes the landscape by action of erosion. It is an integral part of the water cycle (Earth Science Data Systems 2021). 

Monitoreando la escorrentía mediante datos de observación de la Tierra

Translated by Isabel Zetina

Cuando la lluvia cae sobre la Tierra, el agua empieza a moverse y a fluir cuesta abajo a través de alcantarillas y ríos en forma de escorrentía. La escorrentía es extremadamente importante para recargar las masas de agua de la superficie y las aguas subterráneas. Además, la escorrentía modifica el paisaje por acción de la erosión. Es una parte integral del ciclo del agua (Earth Science Data Systems 2021). 

Interview with Hafsa, Aeman, National Researcher, International Water Management Institute (IWM), CGIAR

In the interview, Hafsa Aeman discusses her passion for integrating water resource management with space technologies. She uses remote sensing and AI to tackle challenges like seawater intrusion and coastal erosion, focusing on vulnerable coastal ecosystems. By leveraging satellite data, her work provides critical insights for sustainable water management, crucial for communities impacted by climate change. Ms Aeman highlights the significant role of space technology in water management, especially through remote sensing, which helps monitor precipitation, soil moisture, and groundwater levels. Her proudest achievement is a publication on seawater intrusion, recognized for its innovative use of AI and remote sensing, contributing to Pakistan’s Living Indus initiative. At the International Water Management Institute (IWMI), Hafsa’s research integrates AI and remote sensing to optimize water and irrigation management systems. She emphasizes the importance of addressing seawater intrusion, which poses threats to agriculture, ecosystems, and global food security. She also underscores the role of community engagement in sustainable water management through capacity-building workshops for farmers, promoting smarter irrigation practices. She advocates for leadership opportunities for young scientists and believes AI can revolutionize water management by enabling more accurate and efficient data analysis. Rain, symbolizing renewal and sustenance, is her favorite aggregate state of water.

Interview with Farid Farhat, Hydrological Modeling Specialist at UNICITI

Could you describe how your professional and/or personal experience relate to water? Where does your interest in space technology for water come from? 

I have a solid understanding of the fundamentals of hydrologic and hydraulic engineering, which is relevant to water. I studied many courses in my undergraduate and postgraduate degrees where I learned how runoff in a watershed is generated from meteorological parameters including rainfall, evapotranspiration and infiltration. I also applied my theoretical knowledge to various projects.

Interview with Hafsa, Aeman, National Researcher, International Water Management Institute (IWM), CGIAR

In the interview, Hafsa Aeman discusses her passion for integrating water resource management with space technologies. She uses remote sensing and AI to tackle challenges like seawater intrusion and coastal erosion, focusing on vulnerable coastal ecosystems. By leveraging satellite data, her work provides critical insights for sustainable water management, crucial for communities impacted by climate change. Ms Aeman highlights the significant role of space technology in water management, especially through remote sensing, which helps monitor precipitation, soil moisture, and groundwater levels. Her proudest achievement is a publication on seawater intrusion, recognized for its innovative use of AI and remote sensing, contributing to Pakistan’s Living Indus initiative. At the International Water Management Institute (IWMI), Hafsa’s research integrates AI and remote sensing to optimize water and irrigation management systems. She emphasizes the importance of addressing seawater intrusion, which poses threats to agriculture, ecosystems, and global food security. She also underscores the role of community engagement in sustainable water management through capacity-building workshops for farmers, promoting smarter irrigation practices. She advocates for leadership opportunities for young scientists and believes AI can revolutionize water management by enabling more accurate and efficient data analysis. Rain, symbolizing renewal and sustenance, is her favorite aggregate state of water.

Interview with Farid Farhat, Hydrological Modeling Specialist at UNICITI

Could you describe how your professional and/or personal experience relate to water? Where does your interest in space technology for water come from? 

I have a solid understanding of the fundamentals of hydrologic and hydraulic engineering, which is relevant to water. I studied many courses in my undergraduate and postgraduate degrees where I learned how runoff in a watershed is generated from meteorological parameters including rainfall, evapotranspiration and infiltration. I also applied my theoretical knowledge to various projects.

Event

Stakeholder

Mozaika

Mozaika, The Humanizing Technologies Lab, provides research and development in the field of data science, natural interfaces (human-computer interaction), knowledge management and human insight. At Mozaika we are trying to leverage data science with natural interfaces to provide solutions tailored to human behavior, attitudes and comprehension. The company specializes in building information infrastructures that serve a variety of applications in data as a service or intelligence as a service modes. Our solutions are either human user facing or modules of larger systems.

Person

picture showing the person

Hafsa Aeman

Senior Research Officer - Geoinformatics, CGIAR International Water Management Institute

Hafsa Aeman is a Senior Research Officer at the International Water Management Institute (IWMI) in Pakistan. In this capacity, she is deeply involved in various projects, notably the Water Resource Accountability in Pakistan (WRAP) and NEXU Gains initiatives, both supported by the UK Foreign, Commonwealth, and Development Office (FCDO). These projects are geared towards augmenting capacity for water resource management at the provincial and district levels.