Agenda About the workshop National Disaster Risk Reduction and Management Authority (NDDRMA), Nepal and the International Centre for Integrated Mountain Development (ICIMOD) are collaborating to assess various natural disasters in the country. As a part of the joint efforts, a workshop is being organised to demonstrate new slow-moving landslide monitoring (unstable slope motion) and daily flood inundation mapping and forecasting tools and gather feedback for further enhancement. These tools have been jointly developed by a team from ICIMOD, University of Alaska Fairbanks and with partners at the NASA Marshall and Goddard Space Flight Center. This collaborative effort is part of the SERVIR-HKH program, a joint initiative by United States Agency for International Development (USAID) and the National Aeronautics and Space Administration (NASA), leveraging applications of Earth observation (EO) and geospatial information technology (GIT). This workshop aims to present prototype services for monitoring slow-moving landslides (unstable slope motion), daily inundation forecasting and gathering feedback on these services from relevant stakeholders in Nepal. Attendees will be able to explore hazardous products over selected sites and interact with data portals that visualise these products and make them accessible. This workshop will serve as a valuable platform to discuss the current and future capabilities of the tools and foster collaboration among stakeholders to address the evolving needs of disaster management in the country. Objectives Present prototype products to stakeholders for a slow-moving landslide (unstable slope motion) service and daily inundation forecast over selected validation sites. Explain the data layers and discuss the capabilities and limitations Present prototypes of visualisation and analysis portal for slope motion time series data and daily inundation forecasts, including less frequently observed inundation information derived from remote sensing data. These portals allow users to explore the data and provide feedback Gather feedback from participants on the performance of the forecasting models and solicit suggestions for potential upgrades. This input will help to refine the products to better meet the specific needs of stakeholders Convene relevant stakeholders actively involved in slope stability and flood disaster management, offering a platform for them to share their experiences, challenges, and needs Resource persons Alaska Satellite Facility Franz J Meyer, Professor, UAF & ASF Chief Scientist NASA Goddard Space Flight Center Rustem Arif Albayrak, Center Coordinator & Senior Research Engineer, University of Maryland Pukar Amatya, Associate Research Scientist Thomas Stanley, Associate Research Scientist University of Alaska Fairbanks Simon Zwieback, Assistant Professor Amrit Thapa, Ph.D. Student Kas Knicely, Postdoctoral Researcher ICIMOD Birendra Bajracharya, Chief of Party, SERVIR-HKH Sudan Bikash Maharjan, Remote Sensing Analyst Sudip Pradhan, Geospatial Application Development Specialist Manish Shrestha, Hydrologist Rajesh Bahadur Thapa, Senior Remote Sensing & Geoinformation Specialist Bikram Shakya, Geospatial Application Development Analyst Background Weather-related hazards, such as floods and landslides (slow-moving landslide – unstable slope motion), have a significant impact on the Hindu Kush Himalayan (HKH) region due to their high frequency, substantial financial costs, and adverse effects on the population and socioeconomic activities. As the climate in the HKH evolves, Earth observation data play a critical role in gathering information about past and current activity including the extent and movement rate of slow-moving landslides (unstable slopes), and the extent and frequency of surface inundation. This valuable information, along with weather forecast data, can be used to predict and prepare for future hazards. Additionally, integrating this data with other social and infrastructure information enables effective disaster response efforts and informed decision-making processes. In Nepal, landslides and floods are major natural hazards that can result in the loss of lives, property damage, and significant infrastructure destruction each year. To enhance understanding and forecasting systems for these hazards, ICIMOD has been collaborating with a team led by the University of Alaska to develop daily inundation extent forecasts and map slope motion and its change using Interferometric Synthetic Aperture Radar (InSAR) data. With support and guidance from NDRRMA, this joint activity has been commencing under the SERVIR-HKH programme at ICIMOD. Slow-moving landslides (unstable slope motion) are found around the world, progressing gradually over periods ranging from years to decades, with speeds varying from millimetres to meters per year. However, these slow-moving landslides can sometimes escalate into rapid and catastrophic events, causing significant damage to human infrastructure. To assess and understand slope instability and its acceleration, we have utilised time-series analysis of InSAR data through a cloud-based platform. This analysis produces surface displacement maps with a 30-meter resolution, highlighting both long-term (multiannual) movement and short-term (sub-seasonal) acceleration. This enables the identification of unstable and accelerating slopes that are susceptible to catastrophic failure. Flooding is another major disaster affecting this region. Providing pre-event information about potential floods is crucial for saving lives and facilitating anticipatory actions. Advances in earth observation, modelling, and machine learning technologies enhance flood predictability and inundation extent forecasting. To improve daily inundation monitoring and forecasting, we are introducing a new product: the 30-meter HydroSAR-NG daily inundation extent (d-INX30) forecast. This product integrates SAR data with regularly updated streamflow information, utilising deep neural network techniques to enhance flood inundation tools and provide more accurate daily flood predictions. The workshop will introduce detailed processes applied to generate the products and discussion on its usefulness and visualisation tools for further improvements.