ICIMOD’s SERVIR-HKH Initiative, a joint initiative of USAID and NASA, is working on developing a landslide monitoring and forecast system to automate EO-based monitoring of landslides in the region with support from scientists and researchers from NASA.
Capitalizing on recent advancements in artificial intelligence, Earth Observation big data, and cloud-computing platforms, the Pakistan Agricultural Research Council (PARC) and the International Centre for Integrated Mountain Development (ICIMOD) are working together to develop innovative data-science solutions that can support agricultural planning and food security assessments under ICIMOD’s SERVIR-HKH Initiative, a joint partnership between USAID and NASA.
The International Centre for Integrated Mountain Development (ICIMOD) and the University of Alaska Fairbanks are organizing an orientation training to introduce HydroSAR’s HYDRO30 surface water extent product along with its visualization capabilities to relevant stakeholders.
The Hindu Kush Himalayan region is extremely susceptible to periodic monsoon floods. Early warning systems with the ability to predict floods in advance can benefit tens of millions of people living in the region. Two web-based flood forecasting tools (ECMWF-SPT and HIWAT-SPT) are therefore developed and deployed jointly by SERVIR-HKH and NASA-AST to provide early warning to Bangladesh, Bhutan, and Nepal. ECMWF-SPT provides ensemble forecast up to 15-day lead time, whereas HIWAT-SPT provides deterministic forecast up to 3-day lead time covering almost 100% of the rivers. Hydrological models in conjunction with forecast validation contribute not only to advancing the processes of a forecasting system, but also objectively assess the joint distribution of forecasts and observations in quantifying forecast accuracy. The validation of forecast products has emerged as a priority need to evaluate the worth of the predictive information in terms of quality and consistency. This paper describes the effort made in developing the hydrological forecast systems, the current state of the flood forecast services, and the performance of the forecast evaluation. Both tools are validated using a selection of appropriate metrics in measurement in both probabilistic and deterministic space. The numerical metrics are further complemented by graphical representations of scores and probabilities. It was found that the models had a good performance in capturing high flood events. The evaluation across multiple locations indicates that the model performance and forecast goodness are variable on spatiotemporal scale. The resulting information is used to support good decision-making in risk and resource management.
Experts working within the SERVIR-HKH Initiative at ICIMOD investigated the 2018 Panjshir flood using remotely sensed imagery...
Interactive visualisation of the highest mountain peaks of the world that are above 8,000 meter from sea level.
This map story lists glacial lakes of Nepal that have been categorized as potentially dangerous based on...
This story map describes how farmers are demoralized by the problems that they are facing in the field.
SERVIR connects space to village by helping developing countries use satellite data to address challenges in food security, water resources, weather and climate, land use, and natural disasters. A partnership of National Aeronautics and Space Administration (NASA), United States Agency for International Development (USAID), and leading technical organizations, SERVIR develops innovative solutions to improve livelihoods and foster self-reliance in Asia, Africa, and the Americas. Read More
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