nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
基于STRI的鄱阳湖流域河湖浅滩遥感提取研究
基金项目(Foundation): 江西省自然科学青年基金项目(20202BABL213029); 江西省教育厅科技研究青年项目(GJJ2200743)
邮箱(Email): xiexj@ecut.edu.cn;
DOI:
发布时间: 2026-09-23
出版时间: 2026-09-23
网络发布时间: 2026-09-23
移动端阅读
摘要:

在天然水域中,浅滩作为泥沙淤积形成的沉积体,兼具生态保护与人文景观价值,对我国第一大淡水湖湿地——鄱阳湖浅滩湿地开展遥感监测研究能为大尺度湿地资源的精准管理提供决策依据。针对地表水与部分建筑在NDWI影像中容易混淆的问题,本文构建可见光近红外波段的有符号总反射率指数(Signed Total Reflectance Index,STRI),并实现流域地表水提取和地表水覆盖频率(水淹频率)统计,借助面向对象影像分析和数学形态学技术有效剔除细碎水体;通过1986—2022年多年水淹频率的统计分析识别鄱阳湖流域各类浅滩。结果表明,基于STRI时间序列及年水淹频率统计的方法能有效区分不同发育阶段的浅滩类型,鄱阳湖流域浅滩和水域制图将为流域生态治理、航运规划管理、水域环境分析等提供数据支撑。

Abstract:

Shallow sands are sedimentary bodies formed by siltation in natural water bodies.The shallow wetlands in the Poyang Lake Basin,the largest of their kind in China,passes significant ecological and cultural values.Conducting remote sensing monitoring of these shallow sands not only help fulfill understanding their dynamic changes but also provides a scientific basis for the precise management of large-scale wetland resources.Leveraging the Google Earth Engine and Landsat time-series imagery,this study proposes a method for extracting shallow sands and different developmental stages in the Poyang Lake Basin based on inundation frequency statistics.To address the confusion between surface water and some buildings in the normalized difference water index(NDWI),a signed total reflectance index(Signed Total Reflectance Index,STRI) is constructed using visible and near-infrared spectral bands.Based on the STRI,the extraction of surface water and the calculation of surface water coverage frequency(inundation frequency) are achieved.Object-oriented image analysis and mathematical morphology are then employed to effectively eliminate fragmented water bodies.Through the statistical analysis of multi-year inundation frequency from 1986 to 2022,various types of shallow sands in the Poyang Lake Basin are identified.The results demonstrate that the proposed method,based on STRI time series and annual inundation frequency statistics,can effectively classify shallow types at different developmental stages.The resulting maps of shallow sands and water areas in the Poyang Lake Basin provide reliable data support for basin ecological governance,shipping planning and management,water environment analysis,and related fields.

参考文献

[1]杨景春,李有利.地貌学原理[M].北京:北京大学出版社,2005:20-22,26.

[2]宋洪涛,王春雷,赵秀娟,等.实用水文学词典[M].北京:中国水利水电出版社,2015:145.

[3]Dietrich W E,Smith J D.Influence of the point bar on flow through curved channels[J].Water Resources Research,1983,19(5):1173-1192.

[4]刘林,黄成涛,李明,等.长江中游典型顺直河段交错边滩复归性演变机理[J].应用基础与工程科学学报,2014,22(3):445-456.

[5]郭文,官春芬,穆宏强.河口边滩湿地生态功能评价模型构建[J].人民长江,2014,45(17):1-5.

[6] Sumana S.Remote sensing based technique for identification of geomorphic features and associated LULC:a case of Chandauli district,Uttar Pradesh(India)[J].International Journal of Research and Analytical Reviews,2018,5(3):68-76.

[7]Karim S,Akther K M,Khatun M,et al.Geomorphology and geology of the Dhaka city corporation area:an approach of remote sensing and GIS technique[J].International Journal of Astronomy,Astrophysics and Space Science,2019,6(2):7-16.

[8]齐跃明,李彦宏,韩冬梅.长江安徽段河流地貌的遥感研究[J].南昌工程学院学报,2005,24(3):15-19.

[9]宋志瑞,马逸麟,唐春花.江西长江河道演变遥感解译[J].遥感技术与应用,2005,20(4):415-419.

[10]郭琪,吴虹,秦润君,等.漓江下游河流地貌50年变化的高分遥感影像解译分析[J].桂林理工大学学报,2014,34(3):452-459.

[11]蒋昌波,冉韶华,李志威.长江源典型辫状河道边滩变化及与径流量的关系[J].水力发电学报,2019,38(12):1-10.

[12]冉韶华.长江源辫状河道内洲滩、汊道演变特征及基于机器学习的模拟研究[D].长沙:长沙理工大学,2019.

[13]杨玥,李志威,胡旭跃,等.黄河源白河与黑河下游凸岸点边滩形态与变化规律[J].泥沙研究,2021,46(1):50-56.

[14]李治.雅鲁藏布江宽谷河段辫状河流地貌特征与演变规律研究[D].北京:清华大学,2019.

[15]江健.基于遥感的杭州湾湿地动态监测与分析[D].上海:上海师范大学,2014.

[16]马骊驰.西南界河时空动态变化遥感研究:以云南部分河段为例[D].昆明:云南师范大学,2016.

[17]赵世雄,徐国宾,刘源,等.基于遥感的淮河入洪泽湖段岸滩变化分析[J].水利水电技术(中英文),2021,52(2):11-20.

[18]杨志,董坤明,王珊,等.长江南京段河床与洲滩平面演变特征遥感分析[J].水利水运工程学报,2023(4):34-41.

[19]姚远.遥感影像内河洲滩及其建筑物智能识别方法研究[D].武汉:武汉大学,2022.

[20]王珂,赵庆绪,史红玲,等.雅鲁藏布江中游末端河段洲滩的时空变化特征[J].中国农村水利水电,2024(2):172-177.

[21]余姝辰,邱罗,贺秋华,等.基于多源遥感的洞庭湖洲滩时空演变研究[J].自然资源遥感,2025,37(2):228-234.

[22]郭华,Hu Qi,张奇,等.鄱阳湖流域水文变化特征成因及旱涝规律[J].地理学报,2012,67(5):699-709.

[23]Wulder M A,Loveland T R,Roy D P,et al.Current status of Landsat program,science,and applications[J].Remote Sensing of Environment,2019,225:127-147.

[24] Yan Nuoxiao,Qiu Zhiqiang,Zhang Chenxue,et al.Observing water turbidity in Chinese rivers using landsat series data over the past 40 years[J].Journal of Cleaner Production,2025,494:145001.DOI:10.1016/j.j clepro.2025.145001.

[25]Maragos P,Schafer R W,Butt M A.Mathematical morphology and its applications to image and signal processing[M].1st ed.New York:Springer,1996.

[26]邓书斌.ENVI遥感图像处理方法[M].北京:科学出版社,2010:209-211.

基本信息:

中图分类号:P237;P332

引用信息:

[1]姜雨宏,谢相建,欧阳辰.基于STRI的鄱阳湖流域河湖浅滩遥感提取研究[J].地理与地理信息科学().

基金信息:

江西省自然科学青年基金项目(20202BABL213029); 江西省教育厅科技研究青年项目(GJJ2200743)

发布时间:

2026-09-23

出版时间:

2026-09-23

网络发布时间:

2026-09-23

检 索 高级检索

引用

GB/T 7714-2015 格式引文
MLA格式引文
APA格式引文