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2022年强高温期长江中游通江湖泊干旱数据集

许金朵 侯渲 马荣华 陈曦 王贞

中国科学数据(中英文网络版)2023,Vol.8Issue(4):308-321,14.
中国科学数据(中英文网络版)2023,Vol.8Issue(4):308-321,14.DOI:10.11922/11-6035.csd.2023.0098.zh

2022年强高温期长江中游通江湖泊干旱数据集

A dataset of Yangtze River-connected arid lake bodies in the middle reaches of the Yangtze River during extremely high temperatures in 2022

许金朵 1侯渲 1马荣华 1陈曦 2王贞1

作者信息

  • 1. 中国科学院南京地理与湖泊研究所,南京 210008||国家地球系统科学数据中心湖泊-流域分中心,南京 210008
  • 2. 中国科学院南京地理与湖泊研究所,南京 210008||中山大学,广州 510275
  • 折叠

摘要

Abstract

Due to global warming and climate change,affected by climate anomalies,Yangtze River basin in China experienced the strongest high-temperature process since the complete meteorological observation records in 1961.This process led to the continuous low water level of Yangtze River tributaries and the rare phenomenon of"anti-depletion of flood season"in Poyang Lake and Dongting Lake,both of which were influenced by this climate event.Lakes are indicators of global climate change,and water area changes in lakes have become one of the sensitive indicators of regional ecological environment and climate change.In this study,we used the GEE cloud computing platform to call Sentienl-1 SAR data to calculate the sentinel-1 dual-polarized water index(SDWI).Then,we determined the optimal threshold value using the OTSU algorithm to obtain the final water change monitoring data at 10m resolution for the main body of Poyang Lake,Dongting Lake and their surrounding areas during extremely high temperatures in 2022.This dataset has been validated to with an overall accuracy of over 96%and a Kappa coefficient of 0.92.The dataset includes spatiotemporal variations in arid water bodies in the middle and lower reaches of the Yangtze River during extremely high temperatures in 2022.The dataset can offer data support and serve as a scientific foundation for sustainable lake water resources during extreme weather events,as well as for research on global climate change and the ecological evolution of lakes.

关键词

水体监测/干旱湖泊/湖泊变化/通江湖泊

Key words

surface water detection/arid lake/lake water/Yangtze river-connected lake

引用本文复制引用

许金朵,侯渲,马荣华,陈曦,王贞..2022年强高温期长江中游通江湖泊干旱数据集[J].中国科学数据(中英文网络版),2023,8(4):308-321,14.

基金项目

中国科学院"十四五"网络安全和信息化专项(CAS-WX2022SDC-SJ05,CAS-WX2021SF-0306).The 14th Five-year Network Security and Informatization Plan of Chinese Academy of Sciences(CAS-WX2022SDC-SJ05,CAS-WX2021SF-0306). (CAS-WX2022SDC-SJ05,CAS-WX2021SF-0306)

中国科学数据(中英文网络版)

OACSCDCSTPCD

2096-2223

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