About the Project
1. Collate comprehensive data of selected lakes and their catchments to understand spatiotemporal lake and hazard evolution and benchmark their current condition.
2. Develop algorithms for automatic satellite data change detection (e.g. lake and glacier dynamics) and validate using in situ field measurements.
3. Integrate multi-source time series and hazard data over the decades to build up a data analytical model, which will predict future conditions under a range of climate scenarios.
The candidate will benefit from access to data from an ongoing NERC-funded project (WeACT), which seeks to improve natural dam-burst flood hazard assessment and forecasting. The project will be supported by local research partners. The candidate will receive training in both remote sensing and data mining techniques, besides the training from the DTP. The industrial partner, Reynolds International Ltd, has extensive and unparalleled archive material and experience of working at Tsho Rolpa since 1994
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