Rachel (Soobitsky) Vershel, Jessica Sutton, Thomas Stanley, Pukar Amatya, Dalia Kirschbaum
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引用次数: 0
Abstract
Landslide inventories support both post-event response and predictive model evaluation, but it remains challenging to create public, current, comprehensive and accurate landslide inventories. In response to this need, thousands of rainfall-triggered landslides were mapped and organised within the National Aeronautics and Space Administration's Cooperative Open-Online Landslide Repository (COOLR), which contains over 11,000 landslide reports from the Global Landslide Catalogue. Recently, 22 inventories containing thousands of rainfall-triggered landslides have been added to COOLR, which was reorganised to better accommodate large landslide inventories. All the data are available on the ‘Landslide Viewer’ web application, which also shows referenced and imported landslide inventories from other researchers. The new inventories are each connected to a landslide-triggering rainfall event, and therefore their date of occurrence was usually known. Landslide events were found by searching through credible sources or due to an external request for support during a disaster response. In either case, high-resolution imagery was utilised to digitise the landslides in the region. The resulting data can be used for various purposes, such as model training and validation. To demonstrate their potential, satellite precipitation was analysed with reference to the new inventories. The precipitation analysis highlights the potential of daily satellite precipitation estimates in areas with limited ground precipitation observations. Some of the heavy precipitation events were underestimated, but many were captured and could inform future landslide hazard assessment.
Geoscience Data JournalGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍:
Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered.
An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices.
Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.