Delta

The low, nearly flat, alluvial tract of land deposited at or near the mouth of a river, commonly forming a triangular or fan-shaped plain of considerable area enclosed and crossed by many distributaries of the main river (United Nations Publication, 2013)
 

Sources

United Nations Publications. "Glossary of Shared Water Resources (English-Arabic): Technical, Socioeconomic and Legal Terminology." (2013). DOI:https://dx.doi.org/10.18356/70b462ce-en
 

Related Content

Article

Monitoring River Delta Using Remote Sensing

Since ancient times, people have established communities in river deltas because it provides water, fertile land, and transportation access, making them an ideal place to live. This pattern has been carried forward to the present. With nearly 6 billion people living in river deltas, they are one of the most densely populated places on Earth (Kuenzer and Renaud, 2011). However, they are facing threats such as climate change, sea level rise, land use changes, and ecosystem degradation.

Interview with Arjen Haag, Researcher and Consultant in hydrology and water management at Deltares

Arjen Haag is a hydrologist and remote sensing analyst working at the Operational Water Management & Early Warning department of Deltares. We talk to him about the role that earth observation plays in his projects, SERVIR-Mekong, his experiences in the space and water sector and his vision for innovation in the remote sensing community. We ask him about challenges related to flood mapping and forecasting, whether water data should be shared openly and the transfer of knowledge to those needing it the most. He shares his insights on the use of satellite data, algorithms and models, as well as artificial intelligence and machine learning. And finally, why sandcastles were important for all of this.

Interview with Arjen Haag, Researcher and Consultant in hydrology and water management at Deltares

Arjen Haag is a hydrologist and remote sensing analyst working at the Operational Water Management & Early Warning department of Deltares. We talk to him about the role that earth observation plays in his projects, SERVIR-Mekong, his experiences in the space and water sector and his vision for innovation in the remote sensing community. We ask him about challenges related to flood mapping and forecasting, whether water data should be shared openly and the transfer of knowledge to those needing it the most. He shares his insights on the use of satellite data, algorithms and models, as well as artificial intelligence and machine learning. And finally, why sandcastles were important for all of this.

Event