Inferring River Channel Geometry Based on Multi-Satellite Datasets and Hydraulic Modeling Article Swipe

PDF

Youcan Feng , Xin Huang , Shaohua Zhao , Seungyub Lee , Ruiwu Cao ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.3390/rs17223753

Channel geometry, e.g., riverbed elevation and channel width, is the fundamental input for hydrodynamic simulations and conveys critical information for understanding fluvial processes. In remote or data-scarce areas, however, traditional field surveys face financial and technical challenges for providing enough spatiotemporal coverage. This study proposes an innovative method integrating multi-source satellite data (Sentinel-2 and ICESat-2) and hydraulic modeling to derive channel geometry for part of the Nen River, China. Both channel width (R2 = 0.98, RMSE = 35.41 m) and bottom elevation (R2 = 0.86, RMSE = 1.77 m, PBIAS = −0.61%) are well predicted. The satellite-derived channel geometry results in an overall good simulation of 1D flows through the 5-yr period in terms of peak magnitudes and timings, with the NSE value of 0.94, RMSE of 207.76 m3/s, and PBIAS of 6.19%. The 2D inundation driven by the derived channel geometry achieved accurate hydrodynamic responses. However, for the channel bend with complicated flow regimes, the satellite-derived channel terrains tend to generate more different flow rates due to the hypothesized rectangular channel. This proposed method provides a promising way to derive river bathymetry in both low-gradient and high-slope regions where precise river topography is difficult to obtain.

Related Topics

List Of Disney Channel Original Films

Wind River (Film)

Channel 4

A River Runs Through It (Film)

2025 Hudson River Helicopter Crash

Concepts

No concepts available.

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.3390/rs17223753
PDF: https://www.mdpi.com/2072-4292/17/22/3753/pdf?version=1763474650
OA Status: gold
OpenAlex ID: https://openalex.org/W4416321947

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4416321947

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.3390/rs17223753

Digital Object Identifier
Title: Inferring River Channel Geometry Based on Multi-Satellite Datasets and Hydraulic Modeling

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2025

Year of publication
Publication date: 2025-11-18

Full publication date if available
Authors: Youcan Feng, Xin Huang, Shaohua Zhao, Seungyub Lee, Ruiwu Cao

List of authors in order
Landing page: https://doi.org/10.3390/rs17223753

Publisher landing page
PDF URL: https://www.mdpi.com/2072-4292/17/22/3753/pdf?version=1763474650

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://www.mdpi.com/2072-4292/17/22/3753/pdf?version=1763474650

Direct OA link when available
Cited by: 0

Total citation count in OpenAlex

Full payload

id	https://openalex.org/W4416321947
doi	https://doi.org/10.3390/rs17223753
ids.doi	https://doi.org/10.3390/rs17223753
ids.openalex	https://openalex.org/W4416321947
fwci
type	article
title	Inferring River Channel Geometry Based on Multi-Satellite Datasets and Hydraulic Modeling
biblio.issue	22
biblio.volume	17
biblio.last_page	3753
biblio.first_page	3753
is_xpac	False
apc_list.value	2500
apc_list.currency	CHF
apc_list.value_usd	2707
apc_paid.value	2500
apc_paid.currency	CHF
apc_paid.value_usd	2707
language	en
locations[0].id	doi:10.3390/rs17223753
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S43295729
locations[0].source.issn	2072-4292
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	2072-4292
locations[0].source.is_core	True
locations[0].source.is_in_doaj	True
locations[0].source.display_name	Remote Sensing
locations[0].source.host_organization	https://openalex.org/P4310310987
locations[0].source.host_organization_name	Multidisciplinary Digital Publishing Institute
locations[0].source.host_organization_lineage	https://openalex.org/P4310310987
locations[0].source.host_organization_lineage_names	Multidisciplinary Digital Publishing Institute
locations[0].license	cc-by
locations[0].pdf_url	https://www.mdpi.com/2072-4292/17/22/3753/pdf?version=1763474650
locations[0].version	publishedVersion
locations[0].raw_type	journal-article
locations[0].license_id	https://openalex.org/licenses/cc-by
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Remote Sensing
locations[0].landing_page_url	https://doi.org/10.3390/rs17223753
locations[1].id	pmh:oai:doaj.org/article:befa903577744dbeb32feb34a370b950
locations[1].is_oa	False
locations[1].source.id	https://openalex.org/S4306401280
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	False
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	DOAJ (DOAJ: Directory of Open Access Journals)
locations[1].source.host_organization
locations[1].source.host_organization_name
locations[1].license
locations[1].pdf_url
locations[1].version	submittedVersion
locations[1].raw_type	article
locations[1].license_id
locations[1].is_accepted	False
locations[1].is_published	False
locations[1].raw_source_name	Remote Sensing, Vol 17, Iss 22, p 3753 (2025)
locations[1].landing_page_url	https://doaj.org/article/befa903577744dbeb32feb34a370b950
indexed_in	crossref, doaj
authorships[0].author.id	https://openalex.org/A5012860154
authorships[0].author.orcid	https://orcid.org/0000-0002-3723-4201
authorships[0].author.display_name	Youcan Feng
authorships[0].countries	CN
authorships[0].affiliations[0].institution_ids	https://openalex.org/I194450716
authorships[0].affiliations[0].raw_affiliation_string	Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China
authorships[0].institutions[0].id	https://openalex.org/I194450716
authorships[0].institutions[0].ror	https://ror.org/00js3aw79
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I194450716
authorships[0].institutions[0].country_code	CN
authorships[0].institutions[0].display_name	Jilin University
authorships[0].author_position	first
authorships[0].raw_author_name	Youcan Feng
authorships[0].is_corresponding	True
authorships[0].raw_affiliation_strings	Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China
authorships[1].author.id	https://openalex.org/A5101681502
authorships[1].author.orcid	https://orcid.org/0000-0002-6132-5306
authorships[1].author.display_name	Xin Huang
authorships[1].countries	CN
authorships[1].affiliations[0].institution_ids	https://openalex.org/I4210143016
authorships[1].affiliations[0].raw_affiliation_string	College of Water Conservancy and Environmental Engineering, Changchun Institute of Technology, Changchun 130012, China
authorships[1].institutions[0].id	https://openalex.org/I4210143016
authorships[1].institutions[0].ror	https://ror.org/03r6wam78
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I4210143016
authorships[1].institutions[0].country_code	CN
authorships[1].institutions[0].display_name	Changchun Institute of Technology
authorships[1].author_position	middle
authorships[1].raw_author_name	Xin Huang
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	College of Water Conservancy and Environmental Engineering, Changchun Institute of Technology, Changchun 130012, China
authorships[2].author.id	https://openalex.org/A5046457610
authorships[2].author.orcid	https://orcid.org/0000-0003-2259-8931
authorships[2].author.display_name	Shaohua Zhao
authorships[2].countries	CN
authorships[2].affiliations[0].institution_ids	https://openalex.org/I204710742, https://openalex.org/I4210158498
authorships[2].affiliations[0].raw_affiliation_string	Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment/Key Laboratory of Satellite Remote Sensing, Ministry of Environmental Protection, Beijing 100094, China
authorships[2].institutions[0].id	https://openalex.org/I204710742
authorships[2].institutions[0].ror	https://ror.org/04gwbew76
authorships[2].institutions[0].type	government
authorships[2].institutions[0].lineage	https://openalex.org/I204710742
authorships[2].institutions[0].country_code	CN
authorships[2].institutions[0].display_name	Ministry of Ecology and Environment
authorships[2].institutions[1].id	https://openalex.org/I4210158498
authorships[2].institutions[1].ror	https://ror.org/04x9p9g72
authorships[2].institutions[1].type	government
authorships[2].institutions[1].lineage	https://openalex.org/I204710742, https://openalex.org/I4210158498
authorships[2].institutions[1].country_code	CN
authorships[2].institutions[1].display_name	Satellite Application Center for Ecology and Environment
authorships[2].author_position	middle
authorships[2].raw_author_name	Shaohua Zhao
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment/Key Laboratory of Satellite Remote Sensing, Ministry of Environmental Protection, Beijing 100094, China
authorships[3].author.id	https://openalex.org/A5082919190
authorships[3].author.orcid	https://orcid.org/0000-0001-7732-6525
authorships[3].author.display_name	Seungyub Lee
authorships[3].countries	KR
authorships[3].affiliations[0].institution_ids	https://openalex.org/I112728665
authorships[3].affiliations[0].raw_affiliation_string	Department of Civil and Environmental Engineering, Hanam University, 70 Hannam-ro, Daedeok-gu, Daejeon 34430, Republic of Korea
authorships[3].institutions[0].id	https://openalex.org/I112728665
authorships[3].institutions[0].ror	https://ror.org/01cwbae71
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I112728665
authorships[3].institutions[0].country_code	KR
authorships[3].institutions[0].display_name	Hannam University
authorships[3].author_position	middle
authorships[3].raw_author_name	Seungyub Lee
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	Department of Civil and Environmental Engineering, Hanam University, 70 Hannam-ro, Daedeok-gu, Daejeon 34430, Republic of Korea
authorships[4].author.id	https://openalex.org/A5084644648
authorships[4].author.orcid	https://orcid.org/0000-0002-1096-8635
authorships[4].author.display_name	Ruiwu Cao
authorships[4].countries	CN
authorships[4].affiliations[0].institution_ids	https://openalex.org/I194450716
authorships[4].affiliations[0].raw_affiliation_string	Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China
authorships[4].institutions[0].id	https://openalex.org/I194450716
authorships[4].institutions[0].ror	https://ror.org/00js3aw79
authorships[4].institutions[0].type	education
authorships[4].institutions[0].lineage	https://openalex.org/I194450716
authorships[4].institutions[0].country_code	CN
authorships[4].institutions[0].display_name	Jilin University
authorships[4].author_position	middle
authorships[4].raw_author_name	Ruibo Cao
authorships[4].is_corresponding	False
authorships[4].raw_affiliation_strings	Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China
has_content.pdf	True
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://www.mdpi.com/2072-4292/17/22/3753/pdf?version=1763474650
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-11-18T00:00:00
display_name	Inferring River Channel Geometry Based on Multi-Satellite Datasets and Hydraulic Modeling
has_fulltext	False
is_retracted	False
updated_date	2025-11-28T23:14:17.795251
primary_topic
cited_by_count	0
locations_count	2
best_oa_location.id	doi:10.3390/rs17223753
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S43295729
best_oa_location.source.issn	2072-4292
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	2072-4292
best_oa_location.source.is_core	True
best_oa_location.source.is_in_doaj	True
best_oa_location.source.display_name	Remote Sensing
best_oa_location.source.host_organization	https://openalex.org/P4310310987
best_oa_location.source.host_organization_name	Multidisciplinary Digital Publishing Institute
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310310987
best_oa_location.source.host_organization_lineage_names	Multidisciplinary Digital Publishing Institute
best_oa_location.license	cc-by
best_oa_location.pdf_url	https://www.mdpi.com/2072-4292/17/22/3753/pdf?version=1763474650
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id	https://openalex.org/licenses/cc-by
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Remote Sensing
best_oa_location.landing_page_url	https://doi.org/10.3390/rs17223753
primary_location.id	doi:10.3390/rs17223753
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S43295729
primary_location.source.issn	2072-4292
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	2072-4292
primary_location.source.is_core	True
primary_location.source.is_in_doaj	True
primary_location.source.display_name	Remote Sensing
primary_location.source.host_organization	https://openalex.org/P4310310987
primary_location.source.host_organization_name	Multidisciplinary Digital Publishing Institute
primary_location.source.host_organization_lineage	https://openalex.org/P4310310987
primary_location.source.host_organization_lineage_names	Multidisciplinary Digital Publishing Institute
primary_location.license	cc-by
primary_location.pdf_url	https://www.mdpi.com/2072-4292/17/22/3753/pdf?version=1763474650
primary_location.version	publishedVersion
primary_location.raw_type	journal-article
primary_location.license_id	https://openalex.org/licenses/cc-by
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Remote Sensing
primary_location.landing_page_url	https://doi.org/10.3390/rs17223753
publication_date	2025-11-18
publication_year	2025
referenced_works_count	0
abstract_inverted_index.=	73, 76, 83, 86, 90
abstract_inverted_index.a	176
abstract_inverted_index.1D	106
abstract_inverted_index.2D	134
abstract_inverted_index.In	23
abstract_inverted_index.an	45, 101
abstract_inverted_index.by	137
abstract_inverted_index.in	100, 112, 183
abstract_inverted_index.is	8, 193
abstract_inverted_index.m)	78
abstract_inverted_index.m,	88
abstract_inverted_index.of	64, 105, 114, 123, 126, 131
abstract_inverted_index.or	25
abstract_inverted_index.to	58, 160, 167, 179, 195
abstract_inverted_index.(R2	72, 82
abstract_inverted_index.NSE	121
abstract_inverted_index.Nen	66
abstract_inverted_index.The	95, 133
abstract_inverted_index.and	5, 15, 34, 53, 55, 79, 117, 129, 186
abstract_inverted_index.are	92
abstract_inverted_index.due	166
abstract_inverted_index.for	12, 19, 37, 62, 147
abstract_inverted_index.the	9, 65, 109, 120, 138, 148, 155, 168
abstract_inverted_index.way	178
abstract_inverted_index.1.77	87
abstract_inverted_index.5-yr	110
abstract_inverted_index.Both	69
abstract_inverted_index.RMSE	75, 85, 125
abstract_inverted_index.This	42, 172
abstract_inverted_index.bend	150
abstract_inverted_index.both	184
abstract_inverted_index.data	51
abstract_inverted_index.face	32
abstract_inverted_index.flow	153, 164
abstract_inverted_index.good	103
abstract_inverted_index.more	162
abstract_inverted_index.part	63
abstract_inverted_index.peak	115
abstract_inverted_index.tend	159
abstract_inverted_index.well	93
abstract_inverted_index.with	119, 151
abstract_inverted_index.0.86,	84
abstract_inverted_index.0.94,	124
abstract_inverted_index.0.98,	74
abstract_inverted_index.35.41	77
abstract_inverted_index.PBIAS	89, 130
abstract_inverted_index.e.g.,	2
abstract_inverted_index.field	30
abstract_inverted_index.flows	107
abstract_inverted_index.input	11
abstract_inverted_index.m3/s,	128
abstract_inverted_index.rates	165
abstract_inverted_index.river	181, 191
abstract_inverted_index.study	43
abstract_inverted_index.terms	113
abstract_inverted_index.value	122
abstract_inverted_index.where	189
abstract_inverted_index.width	71
abstract_inverted_index.207.76	127
abstract_inverted_index.6.19%.	132
abstract_inverted_index.China.	68
abstract_inverted_index.River,	67
abstract_inverted_index.areas,	27
abstract_inverted_index.bottom	80
abstract_inverted_index.derive	59, 180
abstract_inverted_index.driven	136
abstract_inverted_index.enough	39
abstract_inverted_index.method	47, 174
abstract_inverted_index.period	111
abstract_inverted_index.remote	24
abstract_inverted_index.width,	7
abstract_inverted_index.Channel	0
abstract_inverted_index.channel	6, 60, 70, 97, 140, 149, 157
abstract_inverted_index.conveys	16
abstract_inverted_index.derived	139
abstract_inverted_index.fluvial	21
abstract_inverted_index.obtain.	196
abstract_inverted_index.overall	102
abstract_inverted_index.precise	190
abstract_inverted_index.regions	188
abstract_inverted_index.results	99
abstract_inverted_index.surveys	31
abstract_inverted_index.through	108
abstract_inverted_index.However,	146
abstract_inverted_index.accurate	143
abstract_inverted_index.achieved	142
abstract_inverted_index.channel.	171
abstract_inverted_index.critical	17
abstract_inverted_index.generate	161
abstract_inverted_index.geometry	61, 98, 141
abstract_inverted_index.however,	28
abstract_inverted_index.modeling	57
abstract_inverted_index.proposed	173
abstract_inverted_index.proposes	44
abstract_inverted_index.provides	175
abstract_inverted_index.regimes,	154
abstract_inverted_index.riverbed	3
abstract_inverted_index.terrains	158
abstract_inverted_index.timings,	118
abstract_inverted_index.ICESat-2)	54
abstract_inverted_index.coverage.	41
abstract_inverted_index.different	163
abstract_inverted_index.difficult	194
abstract_inverted_index.elevation	4, 81
abstract_inverted_index.financial	33
abstract_inverted_index.geometry,	1
abstract_inverted_index.hydraulic	56
abstract_inverted_index.promising	177
abstract_inverted_index.providing	38
abstract_inverted_index.satellite	50
abstract_inverted_index.technical	35
abstract_inverted_index.−0.61%)	91
abstract_inverted_index.bathymetry	182
abstract_inverted_index.challenges	36
abstract_inverted_index.high-slope	187
abstract_inverted_index.innovative	46
abstract_inverted_index.inundation	135
abstract_inverted_index.magnitudes	116
abstract_inverted_index.predicted.	94
abstract_inverted_index.processes.	22
abstract_inverted_index.responses.	145
abstract_inverted_index.simulation	104
abstract_inverted_index.topography	192
abstract_inverted_index.(Sentinel-2	52
abstract_inverted_index.complicated	152
abstract_inverted_index.data-scarce	26
abstract_inverted_index.fundamental	10
abstract_inverted_index.information	18
abstract_inverted_index.integrating	48
abstract_inverted_index.rectangular	170
abstract_inverted_index.simulations	14
abstract_inverted_index.traditional	29
abstract_inverted_index.hydrodynamic	13, 144
abstract_inverted_index.hypothesized	169
abstract_inverted_index.low-gradient	185
abstract_inverted_index.multi-source	49
abstract_inverted_index.understanding	20
abstract_inverted_index.spatiotemporal	40
abstract_inverted_index.satellite-derived	96, 156
cited_by_percentile_year
corresponding_author_ids	https://openalex.org/A5012860154
countries_distinct_count	2
institutions_distinct_count	5
corresponding_institution_ids	https://openalex.org/I194450716
citation_normalized_percentile