Vegetation indices derived from remote sensing for an estimation of soil protection against water erosion
Identifieur interne : 000300 ( Istex/Corpus ); précédent : 000299; suivant : 000301Vegetation indices derived from remote sensing for an estimation of soil protection against water erosion
Auteurs : Linda Cyr ; Ferdinand Bonn ; Alain PesantSource :
- Ecological Modelling [ 0304-3800 ] ; 1995.
Abstract
In order to regionalize an erosion model based on a soil loss equation, the type of agricultural landuse and the percentage of ground cover play a major role. A supervised classification of multidate SPOT imagery has been used for mapping the crops, and vegetation indices have been derived from spectral data of each crop class in order to evaluate the soil coverage associated with these classes, in a hilly environment of the Quebec Appalachians in Canada. The relation between ground coverage and vegetation indices for each crop has been obtained by photographic and radiometric measurements on the ground at ten days interval throughout the growing season. Similarity between ground and satellite observations is reasonably good. Results of the field campaign show that, generally, vegetation indices overestimate the ground coverage at the beginning of the growing season and underestimate it at the end, with the appearance of senescence. These data will be integrated into a GIS for spatial mapping and modelling of erosion.
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DOI: 10.1016/0304-3800(94)00182-H
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A supervised classification of multidate SPOT imagery has been used for mapping the crops, and vegetation indices have been derived from spectral data of each crop class in order to evaluate the soil coverage associated with these classes, in a hilly environment of the Quebec Appalachians in Canada. The relation between ground coverage and vegetation indices for each crop has been obtained by photographic and radiometric measurements on the ground at ten days interval throughout the growing season. Similarity between ground and satellite observations is reasonably good. Results of the field campaign show that, generally, vegetation indices overestimate the ground coverage at the beginning of the growing season and underestimate it at the end, with the appearance of senescence. These data will be integrated into a GIS for spatial mapping and modelling of erosion.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Linda Cyr</name><affiliations><json:string>Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, Que., Canada J1K 2R1</json:string></affiliations></json:item><json:item><name>Ferdinand Bonn</name><affiliations><json:string>Corresponding author.</json:string><json:string>Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, Que., Canada J1K 2R1</json:string></affiliations></json:item><json:item><name>Alain Pesant</name><affiliations><json:string>Agriculture Canada, Station de Recherches de Lennoxville, C.P. 90, Lennoxville, Que., Canada, J1M 1Z3</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Modelling of geo-biosphere processes</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Erosion</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Remote sensing</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>In order to regionalize an erosion model based on a soil loss equation, the type of agricultural landuse and the percentage of ground cover play a major role. 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A supervised classification of multidate SPOT imagery has been used for mapping the crops, and vegetation indices have been derived from spectral data of each crop class in order to evaluate the soil coverage associated with these classes, in a hilly environment of the Quebec Appalachians in Canada. The relation between ground coverage and vegetation indices for each crop has been obtained by photographic and radiometric measurements on the ground at ten days interval throughout the growing season. Similarity between ground and satellite observations is reasonably good. Results of the field campaign show that, generally, vegetation indices overestimate the ground coverage at the beginning of the growing season and underestimate it at the end, with the appearance of senescence. These data will be integrated into a GIS for spatial mapping and modelling of erosion.</p></abstract><textClass><keywords scheme="keyword"><list><head>article-category</head><item><term>Modelling of geo-biosphere processes</term></item></list></keywords></textClass><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Erosion</term></item><item><term>Remote sensing</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1995">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/30B3BEF657BD88B55A1D839209C577A507360895/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>ECOMOD</jid><aid>9400182H</aid><ce:pii>0304-3800(94)00182-H</ce:pii><ce:doi>10.1016/0304-3800(94)00182-H</ce:doi><ce:copyright type="unknown" year="1995"></ce:copyright><ce:doctopics><ce:doctopic><ce:text>Modelling of geo-biosphere processes</ce:text></ce:doctopic></ce:doctopics></item-info><head><ce:title>Vegetation indices derived from remote sensing for an estimation of soil protection against water erosion</ce:title><ce:author-group><ce:author><ce:given-name>Linda</ce:given-name><ce:surname>Cyr</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Ferdinand</ce:given-name><ce:surname>Bonn</ce:surname><ce:cross-ref refid="COR1"><ce:sup>∗</ce:sup></ce:cross-ref><ce:cross-ref refid="AFF1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Alain</ce:given-name><ce:surname>Pesant</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>b</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, Que., Canada J1K 2R1</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Agriculture Canada, Station de Recherches de Lennoxville, C.P. 90, Lennoxville, Que., Canada, J1M 1Z3</ce:textfn></ce:affiliation><ce:correspondence id="COR1"><ce:label>∗</ce:label><ce:text>Corresponding author.</ce:text></ce:correspondence></ce:author-group><ce:date-received day="27" month="7" year="1992"></ce:date-received><ce:date-accepted day="14" month="4" year="1994"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>In order to regionalize an erosion model based on a soil loss equation, the type of agricultural landuse and the percentage of ground cover play a major role. A supervised classification of multidate SPOT imagery has been used for mapping the crops, and vegetation indices have been derived from spectral data of each crop class in order to evaluate the soil coverage associated with these classes, in a hilly environment of the Quebec Appalachians in Canada.</ce:simple-para><ce:simple-para>The relation between ground coverage and vegetation indices for each crop has been obtained by photographic and radiometric measurements on the ground at ten days interval throughout the growing season. Similarity between ground and satellite observations is reasonably good. Results of the field campaign show that, generally, vegetation indices overestimate the ground coverage at the beginning of the growing season and underestimate it at the end, with the appearance of senescence. These data will be integrated into a GIS for spatial mapping and modelling of erosion.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Erosion</ce:text></ce:keyword><ce:keyword><ce:text>Remote sensing</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Vegetation indices derived from remote sensing for an estimation of soil protection against water erosion</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Vegetation indices derived from remote sensing for an estimation of soil protection against water erosion</title></titleInfo><name type="personal"><namePart type="given">Linda</namePart><namePart type="family">Cyr</namePart><affiliation>Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, Que., Canada J1K 2R1</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ferdinand</namePart><namePart type="family">Bonn</namePart><affiliation>Corresponding author.</affiliation><affiliation>Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, Que., Canada J1K 2R1</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Alain</namePart><namePart type="family">Pesant</namePart><affiliation>Agriculture Canada, Station de Recherches de Lennoxville, C.P. 90, Lennoxville, Que., Canada, J1M 1Z3</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1995</dateIssued><copyrightDate encoding="w3cdtf">1995</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">In order to regionalize an erosion model based on a soil loss equation, the type of agricultural landuse and the percentage of ground cover play a major role. A supervised classification of multidate SPOT imagery has been used for mapping the crops, and vegetation indices have been derived from spectral data of each crop class in order to evaluate the soil coverage associated with these classes, in a hilly environment of the Quebec Appalachians in Canada. The relation between ground coverage and vegetation indices for each crop has been obtained by photographic and radiometric measurements on the ground at ten days interval throughout the growing season. Similarity between ground and satellite observations is reasonably good. Results of the field campaign show that, generally, vegetation indices overestimate the ground coverage at the beginning of the growing season and underestimate it at the end, with the appearance of senescence. These data will be integrated into a GIS for spatial mapping and modelling of erosion.</abstract><subject><genre>article-category</genre><topic>Modelling of geo-biosphere processes</topic></subject><subject><genre>Keywords</genre><topic>Erosion</topic><topic>Remote sensing</topic></subject><relatedItem type="host"><titleInfo><title>Ecological Modelling</title></titleInfo><titleInfo type="abbreviated"><title>ECOMOD</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199505</dateIssued></originInfo><identifier type="ISSN">0304-3800</identifier><identifier type="PII">S0304-3800(00)X0022-1</identifier><part><date>199505</date><detail type="volume"><number>79</number><caption>vol.</caption></detail><detail type="issue"><number>1–3</number><caption>no.</caption></detail><extent unit="issue pages"><start>1</start><end>296</end></extent><extent unit="pages"><start>277</start><end>285</end></extent></part></relatedItem><identifier type="istex">30B3BEF657BD88B55A1D839209C577A507360895</identifier><identifier type="DOI">10.1016/0304-3800(94)00182-H</identifier><identifier type="PII">0304-3800(94)00182-H</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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