Near-real time data

Through climate change and changing landscapes, the population within the region experiences more floods as well as droughts, which have a large negative impact on their lives and livelihoods. As more and more floods and droughts will occur, the need for (real time) information around these disasters is increasing. Through satellite data we made it possible to monitor and forecast those floods and droughts near real-time with increasing accuracy.

With SERVIR Mekong we have integrated satellite data into publicly accessible tools that improve and strengthen locally developed and sustainable solutions to address the climate crisis. From 2014 to 2022, SERVIR-Mekong developed 21 decision support tools, trained over 1,500 people, mobilised $500,000 of additional investment, and influenced the adoption of four policies to ensure that the 250 million residents of the Lower Mekong Region are better prepared to respond to the impacts of climate change.

The hub

Deltares has worked the last 8 years on making available and improving satellite-derived data within the SERVIR-Mekong project together in a consortium of 4 parties. The hub lead is the Asian Disaster Preparedness Centre (ADPC), which works with the Spatial Informatics Group (SIG), Stockholm Environment Institute and Deltares. SERVIR is a program of NASA and USAID, with several regional hubs active across the globe.

ADPC will implement SERVIR-Southeast Asia in collaboration with USAID, NASA, as well as other regional organisations such as the ASEAN Secretariat, the Mekong River Commission, and other international organisations (like Deltares). It will ensure that SERVIR-Southeast Asia meets its objective of: “expanded and scaled climate actions by using satellite data and geospatial information for decision making.

Hans Guttman, Executive Director of ADPC

The work area of SERVIR Mekong
The work area of SERVIR Mekong

Deltares has been active across various tasks within the projects, including the development of algorithms for the accurate detection of water and floods from satellite data, training consortium-members in the use of Google Earth Engine (GEE), building of web applications to disseminate relevant information, improving the regional flood forecasting system (FEWS-Mekong) and implementing operational applications for different end users.

One of the applications, called, HYDRAFloods, is a publicly available, web-based service delivering near-real time information for improved flood monitoring.

HYDRAFloods screenshot
HYDRAFloods screenshot
SERVIR-Mekong proves the value of cross-disciplinary collaboration at global scale, by making a regional institute leading the execution and support them with specialist knowledge from NASA and other parties, including Deltares, combined with a focus on impact-driven research directly benefiting end-users.

Arjen Haag, project lead at Deltares.

This project was conducted in collaboration with organizations around the world. This makes digital communication necessary. But working on location can also be very valuable, allowing small and larger problems among local people to be seen and solved much more quickly.
This project was conducted in collaboration with organisations around the world. This makes digital communication necessary. But working on location can also be very valuable, allowing small and larger problems among local people to be seen and solved much more quickly.

Over this 8-year duration a lot of improvements have been made such as increasing the lead time for flood forecasts. As climate change intensifies and development accelerates, we will continue to work together in getting better and accurate information into the hands of those who need it most in order to make them more resilient and adaptable. This includes organisations like the United Nations World Food Programme in the region, with whom we’ve co-created our operational and near real-time flood mapping service.

Open science policy

SERVIR’s open science policy aligns very well with that of Deltares; research and algorithms are published in open-access journals, algorithms and tools are hosted online with open source licenses.

You have not yet indicated whether you want to accept or reject cookies. This means that this element cannot be displayed.

Change your cookie settings

Or go directly to:

https://www.youtube.com/watch?v=Iny_1vjVawY

Share this page.