THE "INTEGRATION OF SCIENCE AND EDUCATION, INTERNATIONAL COOPERATION" MODE OF TRAINING TALENTS IN GEOMATICS

Floods can overwhelm towns, yet estimating how severe rare events may become is difficult when ordinary and rare storms come from different causes. We developed an automated method that gives more weight to the rarest events while still using the full record. Tests with real and simulated data showed more reliable estimates than common approaches. The work can support safer infrastructure design, better flood planning, and more consistent risk decisions in a changing climate.

In the present study, we generated a 30 m Chinese winter wheat yield dataset from 2016 to 2021, called ChinaWheatYield30m. The dataset has high spatial resolution and great accuracy. It is the highest-resolution yield dataset known. Such a dataset will provide basic knowledge of detailed wheat yield distribution, which can be applied for many purposes including crop production modeling or regional climate evaluation.