Improvement of streams hydro‐geomorphological assessment using LiDAR DEMs
Identifieur interne : 001293 ( Istex/Corpus ); précédent : 001292; suivant : 001294Improvement of streams hydro‐geomorphological assessment using LiDAR DEMs
Auteurs : Pascale M. Biron ; Guénolé Choné ; Thomas Buffin-Bélanger ; Sylvio Demers ; Taylor OlsenSource :
- Earth Surface Processes and Landforms [ 0197-9337 ] ; 2013-12.
Abstract
Hydro‐geomorphological assessments are an essential component for riverine management plans. They usually require costly and time‐consuming field surveys to characterize the spatial variability of key variables such as flow depth, width, discharge, water surface slope, grain size and unit stream power throughout the river corridor. The objective of this research is to develop automated tools for hydro‐geomorphological assessments using high‐resolution LiDAR digital elevation models (DEMs). More specifically, this paper aims at developing geographic information system (GIS) tools to extract channel slope, width and discharge from 1 m‐resolution LiDAR DEMs to estimate the spatial distribution of unit stream power in two contrasted watersheds in Quebec: a small agricultural stream (Des Fèves River) and a large gravel‐bed river (Matane River). For slope, the centreline extracted from the raw LiDAR DEM was resampled at a coarser resolution using the minimum elevation value. The channel width extraction algorithm progressively increased the centerline from the raw DEM until thresholds of elevation differences and slopes were reached. Based on the comparison with over 4000 differential global positioning system (GPS) measurements of the water surface collected in a 50 km reach of the Matane River, the longitudinal profile and slope estimates extracted from the raw and resampled LiDAR DEMs were in very good agreement with the field measurements (correlation coefficients ranging from 0 · 83 to 0 · 87) and can thus be used to compute stream power. The extracted width also corresponded very well to the channel as seen from ortho‐photos, although the presence of bars in the Matane River increased the level of error in width estimates. The estimated maximum unit stream power spatial patterns corresponded well with field evidence of bank erosion, indicating that LiDAR DEMs can be used with confidence for initial hydro‐geomorphological assessments. Copyright © 2013 John Wiley & Sons, Ltd.
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DOI: 10.1002/esp.3425
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ISTEX:7A40756F0D4801DFF4A5C33C565092894B64F6B1Le document en format XML
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Process. Landforms</title><idno type="ISSN">0197-9337</idno><idno type="eISSN">1096-9837</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2013-12">2013-12</date><biblScope unit="volume">38</biblScope><biblScope unit="issue">15</biblScope><biblScope unit="page" from="1808">1808</biblScope><biblScope unit="page" to="1821">1821</biblScope></imprint><idno type="ISSN">0197-9337</idno></series><idno type="istex">7A40756F0D4801DFF4A5C33C565092894B64F6B1</idno><idno type="DOI">10.1002/esp.3425</idno><idno type="ArticleID">ESP3425</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0197-9337</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">Hydro‐geomorphological assessments are an essential component for riverine management plans. They usually require costly and time‐consuming field surveys to characterize the spatial variability of key variables such as flow depth, width, discharge, water surface slope, grain size and unit stream power throughout the river corridor. The objective of this research is to develop automated tools for hydro‐geomorphological assessments using high‐resolution LiDAR digital elevation models (DEMs). More specifically, this paper aims at developing geographic information system (GIS) tools to extract channel slope, width and discharge from 1 m‐resolution LiDAR DEMs to estimate the spatial distribution of unit stream power in two contrasted watersheds in Quebec: a small agricultural stream (Des Fèves River) and a large gravel‐bed river (Matane River). For slope, the centreline extracted from the raw LiDAR DEM was resampled at a coarser resolution using the minimum elevation value. The channel width extraction algorithm progressively increased the centerline from the raw DEM until thresholds of elevation differences and slopes were reached. Based on the comparison with over 4000 differential global positioning system (GPS) measurements of the water surface collected in a 50 km reach of the Matane River, the longitudinal profile and slope estimates extracted from the raw and resampled LiDAR DEMs were in very good agreement with the field measurements (correlation coefficients ranging from 0 · 83 to 0 · 87) and can thus be used to compute stream power. The extracted width also corresponded very well to the channel as seen from ortho‐photos, although the presence of bars in the Matane River increased the level of error in width estimates. The estimated maximum unit stream power spatial patterns corresponded well with field evidence of bank erosion, indicating that LiDAR DEMs can be used with confidence for initial hydro‐geomorphological assessments. Copyright © 2013 John Wiley & Sons, Ltd.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Pascale M. Biron</name><affiliations><json:string>Department of Geography, Planning and Environment, Concordia University, Québec, Montréal, Canada</json:string><json:string>E-mail: pascale.biron@concordia.ca</json:string></affiliations></json:item><json:item><name>Guénolé Choné</name><affiliations><json:string>Department of Geography, Planning and Environment, Concordia University, Québec, Montréal, Canada</json:string></affiliations></json:item><json:item><name>Thomas Buffin‐Bélanger</name><affiliations><json:string>Département de biologie, chimie et géographie, Université du Québec à Rimouski, Québec, Canada</json:string></affiliations></json:item><json:item><name>Sylvio Demers</name><affiliations><json:string>Département de biologie, chimie et géographie, Université du Québec à Rimouski, Québec, Canada</json:string></affiliations></json:item><json:item><name>Taylor Olsen</name><affiliations><json:string>Département de biologie, chimie et géographie, Université du Québec à Rimouski, Québec, Canada</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>unit stream power</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>river dynamics</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>GIS</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>water surface slope</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>river management</value></json:item></subject><articleId><json:string>ESP3425</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>Hydro‐geomorphological assessments are an essential component for riverine management plans. They usually require costly and time‐consuming field surveys to characterize the spatial variability of key variables such as flow depth, width, discharge, water surface slope, grain size and unit stream power throughout the river corridor. The objective of this research is to develop automated tools for hydro‐geomorphological assessments using high‐resolution LiDAR digital elevation models (DEMs). More specifically, this paper aims at developing geographic information system (GIS) tools to extract channel slope, width and discharge from 1 m‐resolution LiDAR DEMs to estimate the spatial distribution of unit stream power in two contrasted watersheds in Quebec: a small agricultural stream (Des Fèves River) and a large gravel‐bed river (Matane River). For slope, the centreline extracted from the raw LiDAR DEM was resampled at a coarser resolution using the minimum elevation value. The channel width extraction algorithm progressively increased the centerline from the raw DEM until thresholds of elevation differences and slopes were reached. Based on the comparison with over 4000 differential global positioning system (GPS) measurements of the water surface collected in a 50 km reach of the Matane River, the longitudinal profile and slope estimates extracted from the raw and resampled LiDAR DEMs were in very good agreement with the field measurements (correlation coefficients ranging from 0 · 83 to 0 · 87) and can thus be used to compute stream power. The extracted width also corresponded very well to the channel as seen from ortho‐photos, although the presence of bars in the Matane River increased the level of error in width estimates. The estimated maximum unit stream power spatial patterns corresponded well with field evidence of bank erosion, indicating that LiDAR DEMs can be used with confidence for initial hydro‐geomorphological assessments. 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Process. Landforms</title><idno type="pISSN">0197-9337</idno><idno type="eISSN">1096-9837</idno><idno type="DOI">10.1002/(ISSN)1096-9837</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2013-12"></date><biblScope unit="volume">38</biblScope><biblScope unit="issue">15</biblScope><biblScope unit="page" from="1808">1808</biblScope><biblScope unit="page" to="1821">1821</biblScope></imprint></monogr><idno type="istex">7A40756F0D4801DFF4A5C33C565092894B64F6B1</idno><idno type="DOI">10.1002/esp.3425</idno><idno type="ArticleID">ESP3425</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2013-03-29</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>Hydro‐geomorphological assessments are an essential component for riverine management plans. They usually require costly and time‐consuming field surveys to characterize the spatial variability of key variables such as flow depth, width, discharge, water surface slope, grain size and unit stream power throughout the river corridor. The objective of this research is to develop automated tools for hydro‐geomorphological assessments using high‐resolution LiDAR digital elevation models (DEMs). More specifically, this paper aims at developing geographic information system (GIS) tools to extract channel slope, width and discharge from 1 m‐resolution LiDAR DEMs to estimate the spatial distribution of unit stream power in two contrasted watersheds in Quebec: a small agricultural stream (Des Fèves River) and a large gravel‐bed river (Matane River). For slope, the centreline extracted from the raw LiDAR DEM was resampled at a coarser resolution using the minimum elevation value. The channel width extraction algorithm progressively increased the centerline from the raw DEM until thresholds of elevation differences and slopes were reached. Based on the comparison with over 4000 differential global positioning system (GPS) measurements of the water surface collected in a 50 km reach of the Matane River, the longitudinal profile and slope estimates extracted from the raw and resampled LiDAR DEMs were in very good agreement with the field measurements (correlation coefficients ranging from 0 · 83 to 0 · 87) and can thus be used to compute stream power. The extracted width also corresponded very well to the channel as seen from ortho‐photos, although the presence of bars in the Matane River increased the level of error in width estimates. The estimated maximum unit stream power spatial patterns corresponded well with field evidence of bank erosion, indicating that LiDAR DEMs can be used with confidence for initial hydro‐geomorphological assessments. Copyright © 2013 John Wiley & Sons, Ltd.</p></abstract><textClass><keywords scheme="keyword"><list><head>keywords</head><item><term>unit stream power</term></item><item><term>river dynamics</term></item><item><term>GIS</term></item><item><term>water surface slope</term></item><item><term>river management</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Research Article</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2012-09-26">Received</change><change when="2013-03-18">Registration</change><change when="2013-03-29">Created</change><change when="2013-12">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/7A40756F0D4801DFF4A5C33C565092894B64F6B1/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component type="serialArticle" version="2.0" xml:lang="en" xml:id="esp3425"><header><publicationMeta level="product"><doi>10.1002/(ISSN)1096-9837</doi><issn type="print">0197-9337</issn><issn type="electronic">1096-9837</issn><idGroup><id type="product" value="ESP"></id></idGroup><titleGroup><title type="main" sort="EARTH SURFACE PROCESSES AND LANDFORMS">Earth Surface Processes and Landforms</title><title type="short">Earth Surf. 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Biron, Department of Geography, Planning and Environment, Concordia University, Montréal, Québec, Canada. E‐mail: <email>pascale.biron@concordia.ca</email></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file://ESP.ESP3425.pdf"></link></linkGroup></publicationMeta><contentMeta><titleGroup><title type="main">Improvement of streams hydro‐geomorphological assessment using LiDAR DEMs</title><title type="short">STREAMS HYDRO‐GEOMORPHOLOGICAL ASSESSMENT USING LiDAR DEMs</title><title type="shortAuthors">P. M. Biron <i>et al</i>.</title></titleGroup><creators><creator creatorRole="author" xml:id="esp3425-cr-0001" affiliationRef="#esp3425-aff-0001" corresponding="yes"><personName><givenNames>Pascale M.</givenNames><familyName>Biron</familyName></personName></creator><creator creatorRole="author" xml:id="esp3425-cr-0002" affiliationRef="#esp3425-aff-0001"><personName><givenNames>Guénolé</givenNames><familyName>Choné</familyName></personName></creator><creator creatorRole="author" xml:id="esp3425-cr-0003" affiliationRef="#esp3425-aff-0002"><personName><givenNames>Thomas</givenNames><familyName>Buffin‐Bélanger</familyName></personName></creator><creator creatorRole="author" xml:id="esp3425-cr-0004" affiliationRef="#esp3425-aff-0002"><personName><givenNames>Sylvio</givenNames><familyName>Demers</familyName></personName></creator><creator creatorRole="author" xml:id="esp3425-cr-0005" affiliationRef="#esp3425-aff-0002"><personName><givenNames>Taylor</givenNames><familyName>Olsen</familyName></personName></creator></creators><affiliationGroup><affiliation countryCode="CA" type="organization" xml:id="esp3425-aff-0001"><orgDiv>Department of Geography, Planning and Environment</orgDiv><orgName>Concordia University</orgName><address><city>Montréal</city><countryPart>Québec</countryPart><country>Canada</country></address></affiliation><affiliation countryCode="CA" type="organization" xml:id="esp3425-aff-0002"><orgDiv>Département de biologie, chimie et géographie</orgDiv><orgName>Université du Québec à Rimouski</orgName><address><countryPart>Québec</countryPart><country>Canada</country></address></affiliation></affiliationGroup><keywordGroup type="author"><keyword xml:id="esp3425-kwd-0001">unit stream power</keyword><keyword xml:id="esp3425-kwd-0002">river dynamics</keyword><keyword xml:id="esp3425-kwd-0003">GIS</keyword><keyword xml:id="esp3425-kwd-0004">water surface slope</keyword><keyword xml:id="esp3425-kwd-0005">river management</keyword></keywordGroup><abstractGroup><abstract type="main"><title type="main">ABSTRACT</title><p>Hydro‐geomorphological assessments are an essential component for riverine management plans. They usually require costly and time‐consuming field surveys to characterize the spatial variability of key variables such as flow depth, width, discharge, water surface slope, grain size and unit stream power throughout the river corridor. The objective of this research is to develop automated tools for hydro‐geomorphological assessments using high‐resolution LiDAR digital elevation models (DEMs). More specifically, this paper aims at developing geographic information system (GIS) tools to extract channel slope, width and discharge from 1 m‐resolution LiDAR DEMs to estimate the spatial distribution of unit stream power in two contrasted watersheds in Quebec: a small agricultural stream (Des Fèves River) and a large gravel‐bed river (Matane River). For slope, the centreline extracted from the raw LiDAR DEM was resampled at a coarser resolution using the minimum elevation value. The channel width extraction algorithm progressively increased the centerline from the raw DEM until thresholds of elevation differences and slopes were reached. Based on the comparison with over 4000 differential global positioning system (GPS) measurements of the water surface collected in a 50 km reach of the Matane River, the longitudinal profile and slope estimates extracted from the raw and resampled LiDAR DEMs were in very good agreement with the field measurements (correlation coefficients ranging from 0 · 83 to 0 · 87) and can thus be used to compute stream power. The extracted width also corresponded very well to the channel as seen from ortho‐photos, although the presence of bars in the Matane River increased the level of error in width estimates. The estimated maximum unit stream power spatial patterns corresponded well with field evidence of bank erosion, indicating that LiDAR DEMs can be used with confidence for initial hydro‐geomorphological assessments. Copyright © 2013 John Wiley & Sons, Ltd.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Improvement of streams hydro‐geomorphological assessment using LiDAR DEMs</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>STREAMS HYDRO‐GEOMORPHOLOGICAL ASSESSMENT USING LiDAR DEMs</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Improvement of streams hydro‐geomorphological assessment using LiDAR DEMs</title></titleInfo><name type="personal"><namePart type="given">Pascale M.</namePart><namePart type="family">Biron</namePart><affiliation>Department of Geography, Planning and Environment, Concordia University, Québec, Montréal, Canada</affiliation><affiliation>E-mail: pascale.biron@concordia.ca</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Guénolé</namePart><namePart type="family">Choné</namePart><affiliation>Department of Geography, Planning and Environment, Concordia University, Québec, Montréal, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Thomas</namePart><namePart type="family">Buffin‐Bélanger</namePart><affiliation>Département de biologie, chimie et géographie, Université du Québec à Rimouski, Québec, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Sylvio</namePart><namePart type="family">Demers</namePart><affiliation>Département de biologie, chimie et géographie, Université du Québec à Rimouski, Québec, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Taylor</namePart><namePart type="family">Olsen</namePart><affiliation>Département de biologie, chimie et géographie, Université du Québec à Rimouski, Québec, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><dateIssued encoding="w3cdtf">2013-12</dateIssued><dateCreated encoding="w3cdtf">2013-03-29</dateCreated><dateCaptured encoding="w3cdtf">2012-09-26</dateCaptured><dateValid encoding="w3cdtf">2013-03-18</dateValid><copyrightDate encoding="w3cdtf">2013</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract>Hydro‐geomorphological assessments are an essential component for riverine management plans. They usually require costly and time‐consuming field surveys to characterize the spatial variability of key variables such as flow depth, width, discharge, water surface slope, grain size and unit stream power throughout the river corridor. The objective of this research is to develop automated tools for hydro‐geomorphological assessments using high‐resolution LiDAR digital elevation models (DEMs). More specifically, this paper aims at developing geographic information system (GIS) tools to extract channel slope, width and discharge from 1 m‐resolution LiDAR DEMs to estimate the spatial distribution of unit stream power in two contrasted watersheds in Quebec: a small agricultural stream (Des Fèves River) and a large gravel‐bed river (Matane River). For slope, the centreline extracted from the raw LiDAR DEM was resampled at a coarser resolution using the minimum elevation value. The channel width extraction algorithm progressively increased the centerline from the raw DEM until thresholds of elevation differences and slopes were reached. Based on the comparison with over 4000 differential global positioning system (GPS) measurements of the water surface collected in a 50 km reach of the Matane River, the longitudinal profile and slope estimates extracted from the raw and resampled LiDAR DEMs were in very good agreement with the field measurements (correlation coefficients ranging from 0 · 83 to 0 · 87) and can thus be used to compute stream power. The extracted width also corresponded very well to the channel as seen from ortho‐photos, although the presence of bars in the Matane River increased the level of error in width estimates. The estimated maximum unit stream power spatial patterns corresponded well with field evidence of bank erosion, indicating that LiDAR DEMs can be used with confidence for initial hydro‐geomorphological assessments. Copyright © 2013 John Wiley & Sons, Ltd.</abstract><subject><genre>keywords</genre><topic>unit stream power</topic><topic>river dynamics</topic><topic>GIS</topic><topic>water surface slope</topic><topic>river management</topic></subject><relatedItem type="host"><titleInfo><title>Earth Surface Processes and Landforms</title></titleInfo><titleInfo type="abbreviated"><title>Earth Surf. Process. Landforms</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Research Article</topic></subject><identifier type="ISSN">0197-9337</identifier><identifier type="eISSN">1096-9837</identifier><identifier type="DOI">10.1002/(ISSN)1096-9837</identifier><identifier type="PublisherID">ESP</identifier><part><date>2013</date><detail type="volume"><caption>vol.</caption><number>38</number></detail><detail type="issue"><caption>no.</caption><number>15</number></detail><extent unit="pages"><start>1808</start><end>1821</end><total>14</total></extent></part></relatedItem><identifier type="istex">7A40756F0D4801DFF4A5C33C565092894B64F6B1</identifier><identifier type="DOI">10.1002/esp.3425</identifier><identifier type="ArticleID">ESP3425</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2013 John Wiley & Sons, Ltd.Copyright © 2013 John Wiley & Sons, Ltd.</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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