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The 30 m long-term LAke Water Secchi Depth (SD) dataset (LAWSD30) of China (1985–2020)

<p>Monitoring the water clarity of lakes is essential for the sustainable development of human society. However, existing water clarity assessments in China have mostly focused on lakes with areas &gt; 1 km<sup>2</sup>, and the monitoring periods were mainly in the 21st century. In order to improve the understanding of spatiotemporal variations in lake clarity across China, based on the Google Earth Engine (GEE) cloud platform, a 30 m long-term LAke Water Secchi Depth (SD) dataset (LAWSD30) of China (1985&ndash;2020) was developed using Landsat series imagery and a robust water-color-parameter-based SD model. <strong><em>Noted, the LAWSD30 has been updated to 2021 using Landsat data from 2020 to 2022.</em></strong> The details&nbsp;are described in &quot;<em>30 m long-term LAke Water Secchi depth (SD) dataset (LAWSD30) of China (1985&ndash;2021)_Readme_V1.1.docx</em>&quot;.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
4

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