Integrating UAV and Multisource Satellite Remote Sensing to Estimate Long-Term River Discharge in High-Mountain Basins

IF 3.2 3区 地球科学 Q1 Environmental Science Hydrological Processes Pub Date : 2025-01-27 DOI:10.1002/hyp.70062
Pengfei Gu, Aimin Liao, Yongxiang Wu, Yi Xu, Wei Wu, Gaoxu Wang, Hongwei Liu, Pengcheng Hu, Xuan Zhang
{"title":"Integrating UAV and Multisource Satellite Remote Sensing to Estimate Long-Term River Discharge in High-Mountain Basins","authors":"Pengfei Gu,&nbsp;Aimin Liao,&nbsp;Yongxiang Wu,&nbsp;Yi Xu,&nbsp;Wei Wu,&nbsp;Gaoxu Wang,&nbsp;Hongwei Liu,&nbsp;Pengcheng Hu,&nbsp;Xuan Zhang","doi":"10.1002/hyp.70062","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>In high-mountain basins with complex underlying surface, harsh climate and difficult transportation, the conventional monitoring methods are less applicable, and it is also difficult to construct, operate and maintain ground observation stations. This has led to an extreme lack of ground hydrological data, which has restricted the understanding of hydrological processes in alpine basins. This study presents an integrated method for estimating long time-series discharge using unmanned aerial vehicles (UAVs) and satellite remote sensing (Satellite-RS). The method can integrate the refined observation capabilities of UAVs with the long time-series observation capabilities of Satellite-RS, and the discharge is estimated entirely by UAVs and Satellite-RS information without relying on ground-based measured discharge data. To test this method, six reaches within the main stream and tributaries of the Yarlung Zangbo River (YZR) were selected. The results indicate that the mean relative error (MRE) of UAV-measured river discharge is consistently below 20%, however, larger errors occur for rivers with low water levels and narrow river widths. To address the limitations of the UAV-based measurement method in capturing discharge variations over time, a discharge estimation formula was devised using the remotely sensed river width as an input variable. At-a-section river widths were derived from high-resolution satellite images (i.e., Landsat-8, Sentinel-1, Sentinel-2 and GF-2). By integrating the highly precise observations obtained from UAVs with the long time-series river widths obtained from multisource Satellite-RS, long time-series discharge data were estimated at several typical cross-sections along the YZR. The Nash-Sutcliffe efficiency values for the discharge estimates ranged from 0.72 to 0.92 during the study period (2014–2020). The results can provide data in support of the study of the YZR discharge composition analysis and other scientific issues, and also offer a theoretical and methodological basis for discharge observations in other high-mountain basins around the world.</p>\n </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 1","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Processes","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hyp.70062","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0

Abstract

In high-mountain basins with complex underlying surface, harsh climate and difficult transportation, the conventional monitoring methods are less applicable, and it is also difficult to construct, operate and maintain ground observation stations. This has led to an extreme lack of ground hydrological data, which has restricted the understanding of hydrological processes in alpine basins. This study presents an integrated method for estimating long time-series discharge using unmanned aerial vehicles (UAVs) and satellite remote sensing (Satellite-RS). The method can integrate the refined observation capabilities of UAVs with the long time-series observation capabilities of Satellite-RS, and the discharge is estimated entirely by UAVs and Satellite-RS information without relying on ground-based measured discharge data. To test this method, six reaches within the main stream and tributaries of the Yarlung Zangbo River (YZR) were selected. The results indicate that the mean relative error (MRE) of UAV-measured river discharge is consistently below 20%, however, larger errors occur for rivers with low water levels and narrow river widths. To address the limitations of the UAV-based measurement method in capturing discharge variations over time, a discharge estimation formula was devised using the remotely sensed river width as an input variable. At-a-section river widths were derived from high-resolution satellite images (i.e., Landsat-8, Sentinel-1, Sentinel-2 and GF-2). By integrating the highly precise observations obtained from UAVs with the long time-series river widths obtained from multisource Satellite-RS, long time-series discharge data were estimated at several typical cross-sections along the YZR. The Nash-Sutcliffe efficiency values for the discharge estimates ranged from 0.72 to 0.92 during the study period (2014–2020). The results can provide data in support of the study of the YZR discharge composition analysis and other scientific issues, and also offer a theoretical and methodological basis for discharge observations in other high-mountain basins around the world.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Hydrological Processes
Hydrological Processes 环境科学-水资源
CiteScore
6.00
自引率
12.50%
发文量
313
审稿时长
2-4 weeks
期刊介绍: Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.
期刊最新文献
Wood-Biochar Influence on Rill Erosion Processes and Hydrological Connectivity in Amended Soils New Predictors for Hydrologic Signatures: Wetlands and Geologic Age Across Continental Scales Developing a Two-Dimensional Semi-Analytical Solution on a Plan View for a Consecutive Divergent Tracer Test Considering Regional Groundwater Flow Enhanced Spatial Dry–Wet Contrast in the Future of the Qinghai–Tibet Plateau Urban Snowmelt Runoff Responses to the Temperature-Hydraulic Conductivity Relation in a Cold Climate
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1