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2000-2018 年全球内陆水域遥感 Forel-Ule 指数数据集。

A dataset of remote-sensed Forel-Ule Index for global inland waters during 2000-2018.

机构信息

School of Earth and Space Sciences, Peking University, Beijing, China.

Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.

出版信息

Sci Data. 2021 Jan 25;8(1):26. doi: 10.1038/s41597-021-00807-z.

Abstract

Water colour is the result of its constituents and their interactions with solar irradiance; this forms the basis for water quality monitoring using optical remote sensing data. The Forel-Ule Index (FUI) is a useful comprehensive indicator to show the water colour variability and water quality change in both inland waters and oceans. In recent decades, lakes around the world have experienced dramatic changes in water quality under pressure from both climate change and anthropogenic activities. However, acquiring consistent water colour products for global lakes has been a challenge. In this paper we present the first time series FUI dataset for large global lakes from 2000-2018 based on MODIS observations. This dataset provides significant information on spatial and temporal changes of water colour for global large lakes during the past 19 years. It will be valuable to studies in search of the drivers of global and regional lake colour change, and the interaction mechanisms between water colour, hydrological factors, climate change, and anthropogenic activities.

摘要

水色是由其组成部分及其与太阳辐射的相互作用形成的;这是利用光学遥感数据进行水质监测的基础。福雷尔-乌莱指数(FUI)是一个有用的综合指标,可显示内陆水域和海洋的水色变化和水质变化。近几十年来,受气候变化和人为活动的双重压力影响,世界各地的湖泊水质发生了巨大变化。然而,为全球湖泊获取一致的水色产品一直是一个挑战。在本文中,我们基于 MODIS 观测,首次提供了 2000-2018 年全球大型湖泊的时间序列 FUI 数据集。该数据集为过去 19 年全球大型湖泊的水色时空变化提供了重要信息。对于研究全球和区域湖泊水色变化的驱动因素以及水色、水文因素、气候变化和人为活动之间的相互作用机制,这将是非常有价值的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6da/7835379/98621ab49fc5/41597_2021_807_Fig1_HTML.jpg

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