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This is the official personal academic homepage of Li Yao, a scholar in the remote sensing field. Li Yao is currently a professor at the School of Geographical Sciences, Southwest University. This homepage systematically organizes and showcases his educational background, research focus, academic outputs, and publicly available research data products, serving as an open academic showcase platform for peer researchers.
The homepage is organized into five core sections: introduction of personal background and research interests, display and download of published academic outputs, open access to public research data products, summary of academic presentation information, and access to contact information and CV. All content and resources are completely free to access, and no registration or payment is required to view or download materials. The currently available core data products include three categories: a high-resolution global reservoir bathymetry database, a dataset of global large reservoir storage volume changes from 1984 to 2015, and an improved SRTM digital elevation model fused with reservoir topography.
Pros: The page has a clear structure and convenient navigation, with professional and well-organized content. The core research datasets are opened for free to researchers worldwide, greatly lowering the barrier for accessing research data in the hydrological remote sensing field. It also has stable loading speed and can be opened directly within China.
Cons: The shortcomings are quite obvious: it only serves as a static content showcase, and does not support functions such as online data analysis or peer interaction. The entire interface is in English, which is not user-friendly for domestic Chinese users. Only an email address is provided for contact, so there is no guarantee of a timely response.
This website is ideal for researchers and graduate students in the fields of geographic information, remote sensing hydrology, and water resources research to access open datasets and learn about research progress in related fields. It can be accessed directly without a proxy in the Chinese network environment.
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