Vegetation mapping for change detection on an arid-zone river.
Identifieur interne : 003F23 ( Main/Exploration ); précédent : 003F22; suivant : 003F24Vegetation mapping for change detection on an arid-zone river.
Auteurs : Pamela Nagler [États-Unis] ; Edward P. Glenn ; Kim Hursh ; Charles Curtis ; Alfredo HueteSource :
- Environmental monitoring and assessment [ 0167-6369 ] ; 2005.
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Abstract
A vegetation mapping system for change detection was tested at the Havasu National Wildlife Refuge (HNWR) on the Lower Colorado River. A low-cost, aerial photomosaic of the 4200 ha, study area was constructed utilizing an automated digital camera system, supplemented with oblique photographs to aid in determining species composition and plant heights. Ground-truth plots showed high accuracy in distinguishing native cottonwood (Populus fremontii) and willow (Salix gooddingii) trees from other vegetation on aerial photos. Marsh vegetation (mainly cattails, Typha domengensis) was also easily identified. However, shrubby terrestrial vegetation, consisting of saltcedar (Tamarix ramosissima), arrowweed (Pluchea sericea), and mesquite trees (Prosopis spp.), could not be accurately distinguished from each other and were combined into a single shrub layer on the final vegetation map. The final map took the form of a base, shrub and marsh layer, which was displayed as a Normalized Difference Vegetation Index map from a Landsat Enhanced Thematic Mapper (ETM+) image to show vegetation intensity. Native willow and cottonwood trees were digitized manually on the photomosaic and overlain on the shrub layer in a GIS. By contrast to present, qualitative mapping systems used on the Lower Colorado River, this mapping system provides quantitative information that can be used for accurate change detection. However, better methods to distinguish between saltcedar, mesquite, and arrowweed are needed to map the shrub layer.
DOI: 10.1007/s10661-005-6285-y
PubMed: 16240202
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Glenn</name></author><author><name sortKey="Hursh, Kim" sort="Hursh, Kim" uniqKey="Hursh K" first="Kim" last="Hursh">Kim Hursh</name></author><author><name sortKey="Curtis, Charles" sort="Curtis, Charles" uniqKey="Curtis C" first="Charles" last="Curtis">Charles Curtis</name></author><author><name sortKey="Huete, Alfredo" sort="Huete, Alfredo" uniqKey="Huete A" first="Alfredo" last="Huete">Alfredo Huete</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2005">2005</date><idno type="RBID">pubmed:16240202</idno><idno type="pmid">16240202</idno><idno type="doi">10.1007/s10661-005-6285-y</idno><idno type="wicri:Area/Main/Corpus">003F37</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">003F37</idno><idno type="wicri:Area/Main/Curation">003F37</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">003F37</idno><idno type="wicri:Area/Main/Exploration">003F37</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Vegetation mapping for change detection on an arid-zone river.</title><author><name sortKey="Nagler, Pamela" sort="Nagler, Pamela" uniqKey="Nagler P" first="Pamela" last="Nagler">Pamela Nagler</name><affiliation wicri:level="2"><nlm:affiliation>Environmental Research Laboratory, 2601 East Airport Drive, Tucson, Arizona, U.S.A. pnagler@ag.arizona.edu</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Environmental Research Laboratory, 2601 East Airport Drive, Tucson, Arizona</wicri:regionArea><placeName><region type="state">Arizona</region></placeName></affiliation></author><author><name sortKey="Glenn, Edward P" sort="Glenn, Edward P" uniqKey="Glenn E" first="Edward P" last="Glenn">Edward P. Glenn</name></author><author><name sortKey="Hursh, Kim" sort="Hursh, Kim" uniqKey="Hursh K" first="Kim" last="Hursh">Kim Hursh</name></author><author><name sortKey="Curtis, Charles" sort="Curtis, Charles" uniqKey="Curtis C" first="Charles" last="Curtis">Charles Curtis</name></author><author><name sortKey="Huete, Alfredo" sort="Huete, Alfredo" uniqKey="Huete A" first="Alfredo" last="Huete">Alfredo Huete</name></author></analytic><series><title level="j">Environmental monitoring and assessment</title><idno type="ISSN">0167-6369</idno><imprint><date when="2005" type="published">2005</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Desert Climate (MeSH)</term><term>Environmental Monitoring (methods)</term><term>Photography (MeSH)</term><term>Plants (MeSH)</term><term>Rivers (MeSH)</term><term>Satellite Communications (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Climat désertique (MeSH)</term><term>Communications par satellite (MeSH)</term><term>Photographie (méthode) (MeSH)</term><term>Plantes (MeSH)</term><term>Rivières (MeSH)</term><term>Surveillance de l'environnement (méthodes)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Environmental Monitoring</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Surveillance de l'environnement</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Desert Climate</term><term>Photography</term><term>Plants</term><term>Rivers</term><term>Satellite Communications</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Climat désertique</term><term>Communications par satellite</term><term>Photographie (méthode)</term><term>Plantes</term><term>Rivières</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A vegetation mapping system for change detection was tested at the Havasu National Wildlife Refuge (HNWR) on the Lower Colorado River. A low-cost, aerial photomosaic of the 4200 ha, study area was constructed utilizing an automated digital camera system, supplemented with oblique photographs to aid in determining species composition and plant heights. Ground-truth plots showed high accuracy in distinguishing native cottonwood (Populus fremontii) and willow (Salix gooddingii) trees from other vegetation on aerial photos. Marsh vegetation (mainly cattails, Typha domengensis) was also easily identified. However, shrubby terrestrial vegetation, consisting of saltcedar (Tamarix ramosissima), arrowweed (Pluchea sericea), and mesquite trees (Prosopis spp.), could not be accurately distinguished from each other and were combined into a single shrub layer on the final vegetation map. The final map took the form of a base, shrub and marsh layer, which was displayed as a Normalized Difference Vegetation Index map from a Landsat Enhanced Thematic Mapper (ETM+) image to show vegetation intensity. Native willow and cottonwood trees were digitized manually on the photomosaic and overlain on the shrub layer in a GIS. By contrast to present, qualitative mapping systems used on the Lower Colorado River, this mapping system provides quantitative information that can be used for accurate change detection. However, better methods to distinguish between saltcedar, mesquite, and arrowweed are needed to map the shrub layer.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16240202</PMID><DateCompleted><Year>2006</Year><Month>03</Month><Day>02</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0167-6369</ISSN><JournalIssue CitedMedium="Print"><Volume>109</Volume><Issue>1-3</Issue><PubDate><Year>2005</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Environmental monitoring and assessment</Title><ISOAbbreviation>Environ Monit Assess</ISOAbbreviation></Journal><ArticleTitle>Vegetation mapping for change detection on an arid-zone river.</ArticleTitle><Pagination><MedlinePgn>255-74</MedlinePgn></Pagination><Abstract><AbstractText>A vegetation mapping system for change detection was tested at the Havasu National Wildlife Refuge (HNWR) on the Lower Colorado River. A low-cost, aerial photomosaic of the 4200 ha, study area was constructed utilizing an automated digital camera system, supplemented with oblique photographs to aid in determining species composition and plant heights. Ground-truth plots showed high accuracy in distinguishing native cottonwood (Populus fremontii) and willow (Salix gooddingii) trees from other vegetation on aerial photos. Marsh vegetation (mainly cattails, Typha domengensis) was also easily identified. However, shrubby terrestrial vegetation, consisting of saltcedar (Tamarix ramosissima), arrowweed (Pluchea sericea), and mesquite trees (Prosopis spp.), could not be accurately distinguished from each other and were combined into a single shrub layer on the final vegetation map. The final map took the form of a base, shrub and marsh layer, which was displayed as a Normalized Difference Vegetation Index map from a Landsat Enhanced Thematic Mapper (ETM+) image to show vegetation intensity. Native willow and cottonwood trees were digitized manually on the photomosaic and overlain on the shrub layer in a GIS. By contrast to present, qualitative mapping systems used on the Lower Colorado River, this mapping system provides quantitative information that can be used for accurate change detection. However, better methods to distinguish between saltcedar, mesquite, and arrowweed are needed to map the shrub layer.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Nagler</LastName><ForeName>Pamela</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Environmental Research Laboratory, 2601 East Airport Drive, Tucson, Arizona, U.S.A. pnagler@ag.arizona.edu</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Glenn</LastName><ForeName>Edward P</ForeName><Initials>EP</Initials></Author><Author ValidYN="Y"><LastName>Hursh</LastName><ForeName>Kim</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Curtis</LastName><ForeName>Charles</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Huete</LastName><ForeName>Alfredo</ForeName><Initials>A</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Environ Monit Assess</MedlineTA><NlmUniqueID>8508350</NlmUniqueID><ISSNLinking>0167-6369</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D003889" MajorTopicYN="N">Desert Climate</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010781" MajorTopicYN="N">Photography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010944" MajorTopicYN="Y">Plants</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D045483" MajorTopicYN="N">Rivers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017215" MajorTopicYN="N">Satellite Communications</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2004</Year><Month>06</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2005</Year><Month>11</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2005</Year><Month>10</Month><Day>22</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2006</Year><Month>3</Month><Day>3</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2005</Year><Month>10</Month><Day>22</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">16240202</ArticleId><ArticleId IdType="doi">10.1007/s10661-005-6285-y</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Science. 1994 Nov 4;266(5186):753-62</Citation><ArticleIdList><ArticleId IdType="pubmed">17730396</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Arizona</li></region></list><tree><noCountry><name sortKey="Curtis, Charles" sort="Curtis, Charles" uniqKey="Curtis C" first="Charles" last="Curtis">Charles Curtis</name><name sortKey="Glenn, Edward P" sort="Glenn, Edward P" uniqKey="Glenn E" first="Edward P" last="Glenn">Edward P. Glenn</name><name sortKey="Huete, Alfredo" sort="Huete, Alfredo" uniqKey="Huete A" first="Alfredo" last="Huete">Alfredo Huete</name><name sortKey="Hursh, Kim" sort="Hursh, Kim" uniqKey="Hursh K" first="Kim" last="Hursh">Kim Hursh</name></noCountry><country name="États-Unis"><region name="Arizona"><name sortKey="Nagler, Pamela" sort="Nagler, Pamela" uniqKey="Nagler P" first="Pamela" last="Nagler">Pamela Nagler</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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