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

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 > 1 km2, 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 (1985–2020) was developed using Landsat series imagery and a robust water-color-parameter-based SD model. Noted, the LAWSD30 has been updated to 2021 using Landsat data from 2020 to 2022. The details are described in "30 m long-term LAke Water Secchi depth (SD) dataset (LAWSD30) of China (1985–2021)_Readme_V1.1.docx".

湖泊水体透明度监测对于人类社会的可持续发展至关重要。然而当前国内现有水体透明度评估工作多聚焦于面积大于1平方千米的湖泊，且监测时段主要集中于21世纪。为深化对全国范围内湖泊透明度时空变化特征的认知，本研究基于谷歌地球引擎（Google Earth Engine, GEE）云平台，利用Landsat系列遥感影像与基于水色参数的鲁棒塞氏深度反演模型，构建了1985–2020年中国30米分辨率的长期湖泊水体塞氏盘透明度（Secchi Depth, SD）数据集（LAWSD30）。值得注意的是，该数据集已利用2020至2022年的Landsat影像更新至2021年时段。详细说明请参阅"30 m long-term LAke Water Secchi depth (SD) dataset (LAWSD30) of China (1985–2021)_Readme_V1.1.docx"。

搜集汇总

背景与挑战

背景概述

该数据集是中国湖泊水透明度（SD）的30米分辨率长期记录，时间跨度为1985年至2021年，利用Landsat系列影像和基于水色参数的模型开发，旨在改善对中国湖泊透明度时空变化的理解。