Literature DB >> 33495477

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

Shenglei Wang1,2, Junsheng Li2,3, Wenzhi Zhang2,3, Chang Cao4, Fangfang Zhang2, Qian Shen2,3, Xianfeng Zhang5, Bing Zhang6,7.   

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.

Entities:  

Year:  2021        PMID: 33495477      PMCID: PMC7835379          DOI: 10.1038/s41597-021-00807-z

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  5 in total

1.  Biases in ocean color over a Secchi disk.

Authors:  Jaime Pitarch
Journal:  Opt Express       Date:  2017-11-27       Impact factor: 3.894

2.  Classifying Natural Waters with the Forel-Ule Colour Index System: Results, Applications, Correlations and Crowdsourcing.

Authors:  Shungudzemwoyo P Garaba; Anna Friedrichs; Daniela Voß; Oliver Zielinski
Journal:  Int J Environ Res Public Health       Date:  2015-12-18       Impact factor: 3.390

3.  True colour classification of natural waters with medium-spectral resolution satellites: SeaWiFS, MODIS, MERIS and OLCI.

Authors:  Hendrik J van der Woerd; Marcel R Wernand
Journal:  Sensors (Basel)       Date:  2015-10-09       Impact factor: 3.576

4.  Trends in ocean colour and chlorophyll concentration from 1889 to 2000, worldwide.

Authors:  Marcel R Wernand; Hendrik J van der Woerd; Winfried W C Gieskes
Journal:  PLoS One       Date:  2013-06-12       Impact factor: 3.240

5.  A national-scale data set for dissolved carbon and its spatial pattern in lakes and reservoirs across China.

Authors:  Zhidan Wen; Kaishan Song; Lili Lyu; Chong Fang; Yingxin Shang; Ge Liu; Jia Du
Journal:  Sci Data       Date:  2020-03-09       Impact factor: 6.444

  5 in total
  2 in total

1.  Chamoli disaster: pronounced changes in water quality and flood plains using Sentinel data.

Authors:  Sansar Raj Meena; Akshansha Chauhan; Kushanav Bhuyan; Ramesh P Singh
Journal:  Environ Earth Sci       Date:  2021-08-23       Impact factor: 2.784

Review 2.  Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing.

Authors:  Liping Yang; Joshua Driscol; Sarigai Sarigai; Qiusheng Wu; Christopher D Lippitt; Melinda Morgan
Journal:  Sensors (Basel)       Date:  2022-03-21       Impact factor: 3.576

  2 in total

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