The tool has the potential to be a significant way to safeguard people against fatal natural disasters: around 25-50 people are killed by landslides each year in the United States alone, and the global annual death toll is estimated in thousands.
This new tool strives for two things: first, it aims for early prediction, meaning more than a couple of days in advance, in the hope to undertake some remediation to avert the landslide.
And due to this, the most accurate projections of the exact site of an oncoming landslide now occur a year in advance.
The second critical element of the team's new tool is its ability to forecast landslides a month in advance on a regional scale.
The innovative aspect of the team'…
read moreSmall island nations are highly vulnerable to climate change and natural disasters, such as hurricanes, cyclones, and other storms, which can lead to severe flooding, landslides, and result in the loss of life and property. In addition, a rise in the global mean sea level places island nations at a higher risk for permanent submersion of land, coastal erosion, coastal ecosystem loss or change, salinization, and impeded drainage.
This three-part training series will focus on small island nations while introducing the data, methods, and tools useful for monitoring natural hazards. Case studies will be used to demonstrate methodologies applying satellite and model data and open access tools to analyze storm impacts, sea level rise, and landslides on small island nations.
Course Format:
Having reliable and timely population distribution data can make a life or death difference for individuals facing crises or living in conflict-ridden regions. These data are also essential for development decision-making and planning and for monitoring progress towards the UN Sustainable Development Goals (SDGs) established by the international community. We need to know where people are located, what conditions they are facing, what infrastructure is available, and what basic services they can access. We also need to ensure that no one is left off the map in pursuit of meeting the SDGs.
Gridded population data, which often use remote sensing inputs to improve the spatial allocation of population within a country, are vital for all these purposes. Together with the growing variety of applications that require spatial population data, there is now a bewildering array of population grids, and users need to know which ones are most suitable for their applications…
read more