2000-2020年中国大型湖泊FUI水色指数月度统计数据

基于MODIS卫星遥感数据，发展了遥感数据预处理方法与湖泊FUI水色指数遥感提取算法，构建了2000-2020年全球1000余个大型湖泊FUI水色指数长时间序列遥感产品数据集，在此基础上对中国大型湖泊FUI水色指数进行月度均值统计。该数据集将为近20余年全国湖泊水色和水质时空变化规律研究提供科学数据支撑，并将在进一步的湖泊水色变化与水文要素、气候变化以及人类活动之间的相互作用响应机制研究中发挥重要作用。

Based on MODIS satellite remote sensing data, remote sensing data preprocessing methods and a remote sensing extraction algorithm for the lake FUI color index were developed, and a long-term time-series remote sensing product dataset of FUI color indices for over 1,000 large global lakes spanning 2000 to 2020 was constructed. On this basis, monthly mean statistics were conducted for the FUI color indices of large lakes in China. This dataset will provide scientific data support for studies on the spatiotemporal variation patterns of lake water color and water quality across China over the past 20+ years, and will play a critical role in further research on the interactive response mechanisms between lake water color changes, hydrological factors, climate change and human activities.

搜集汇总

背景与挑战

背景概述

该数据集包含2000-2020年中国大型湖泊的FUI水色指数月度统计数据，基于MODIS卫星数据构建，旨在提供湖泊水质和水色时空变化的重要信息。数据生成过程中采用了严格的质量控制措施，确保数据的准确性和可靠性。