The sixth webinar of the LandAware 2026 webinar series “From Landslide Hazard Assessment to Early Warning: Integrating Geomechanical, Environmental, and Remote Sensing Approaches in Data-Scarce Mountain Regions”, by Danny Love Wamba Djukem (University of Liège, Belgium) is scheduled for 25 June 2026, 05:00 UTC.
Abstract
Landslide early warning systems are often developed in regions with extensive monitoring networks, long-term datasets, and well-documented landslide inventories. However, many mountainous regions around the world, particularly in Africa and other parts of the Global South, face a very different reality: limited monitoring, sparse environmental data, and incomplete records of past landslides.
This webinar explores how landslide hazard assessment can contribute to the development of early warning strategies in such data-scarce environments. Drawing on case studies from Cameroon, China,
Haiti, it highlights how geomechanical analyses, landslide inventories, physically based modelling, and remote sensing observations can be combined to better understand landslide processes and support forecasting efforts.
The webinar first examines the environmental and triggering factors controlling landslides in tropical mountain regions, using examples from Mount Oku in Cameroon. It then discusses the development and application of site-adaptive approaches for predicting earthquake-induced landslides across different tectonic and climatic settings. Finally, it explores how national landslide inventories, satellite observations, and integrated hazard assessments can provide practical foundations for future landslide early warning systems in regions where traditional monitoring networks remain limited.
The talk argues that effective early warning begins with understanding the landscape, its processes, and its triggers. By integrating geomechanical, environmental, and remote sensing approaches, it is possible to move from hazard assessment toward more operational and scalable warning frameworks, even in data-constrained mountain environments
Bio
Dr. Danny Love Wamba Djukem is an engineering geologist and geohazards researcher specializing in landslide processes, slope stability, earthquake-induced landslides, remote sensing, and hazard assessment in mountainous environments. She holds a Ph.D. in Geotechnics and Geohazards and was previously a Postdoctoral Researcher at Chengdu University of Technology, China. She is currently an Invited Researcher with the Georisk & Environment Group at the University of Liège, Belgium, and is based in Cameroon.
Her research focuses on understanding landslide triggering mechanisms and developing practical approaches for landslide hazard assessment and early warning in data-scarce regions. Her work combines geomechanical analyses, physically based modelling, remote sensing, and landslide inventory development, with applications in Africa, the Caribbean, and Asia.
Her recent studies include landslide hazard assessment in Cameroon, site-adaptive prediction of earthquake-induced landslides, and national-scale landslide inventory development to support disaster risk reduction and resilience planning.