人民黄河2025，Vol.47Issue(10)：79-86,8.DOI:10.3969/j.issn.1000-1379.2025.10.011
基于长时序哨兵数据的黄河下游汛情监测
Flood Regime Monitoring of the Lower Yellow River Based on Long-Term Sentinel Data
摘要
Abstract
Based on its high temporal and spatial resolution surface observation advantage,time-series Sentinel data can monitor floods and their impacts on embankments and surrounding areas in real time,monitor water changes in real time,and achieve rapid response and accu-rate assessment of floods,which is of great significance in flood regime monitoring and other aspects.This study combined Sentinel-1 radar image data and Sentinel-2 optical image data,taking into account the characteristics of surface features in the flood-inundated areas of the middle and lower reaches of the Yellow River,and proposed a flood regime monitoring method based on long-term Sentinel satellite data with the help of the GEE platform.First,the water extraction index(SDWI)and the normalized difference water index(NDWI)of Sentinel-1 du-al-polarization data were combined with the Otsu method(OTSU)to obtain the extraction results.Taking July 2022 as an example,regional water information was extracted based on Sentinel-1 SAR and Sentinel-2 images and the accuracy was evaluated.The water extraction results were 95.3%and 95.1%respectively,and the Kappa coefficients were 0.91 and 0.90 respectively.Subsequently,the Sentinel-2 image extrac-tion results were used to supplement and correct the Sentinel-1 extraction results,and the long-term monthly dynamic changes of the water body in the middle and lower reaches of the Yellow River from 2016 to 2022 were monitored.The time variation analysis of the water body ex-traction results in different periods was used to summarize the spatial-temporal changes of the water body in the study area.Finally,the inun-dation range of the study area was divided based on Google images and the actual situation in the region.关键词
汛情监测/时序SAR数据/Google Earth Engine/水域面积/黄河下游Key words
flood season monitoring/time series SAR data/Google Earth Engine/water area/lower Yellow River分类
天文与地球科学引用本文复制引用
李慧,高旭昂,何培培,王新静..基于长时序哨兵数据的黄河下游汛情监测[J].人民黄河,2025,47(10):79-86,8.基金项目
国家自然科学基金资助项目(41901285) （41901285）
河南省重点研发专项(241111321100) （241111321100）
2021年华北水利水电大学青年骨干教师项目(2021010) （2021010）
