Mapping marshland vegetation of San Francisco Bay, California, using hyperspectral data

DC FieldValueLanguage
dc.contributor.authorRosso, PH
dc.contributor.authorUstin, SL
dc.contributor.authorHastings, A
dc.date.accessioned2021-12-23T16:13:52Z-
dc.date.available2021-12-23T16:13:52Z-
dc.date.issued2005
dc.identifier.issn01431161
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/10787-
dc.description.abstractSustainable management of wetland ecosystems requires monitoring of vegetation dynamics, which can be achieved through remote sensing. This paper assesses the use of hyperspectral imagery to study the structure of wetlands of San Francisco Bay, California, USA. Spectral mixture analysis (SMA) and multiple endmember spectral mixture analysis (MESMA) were applied on an AVIRIS (Airborne Visible and Infrared Imaging Spectrometer) image to investigate their appropriateness to characterize marshes, with emphasis on the Spartina species complex. The role of rms. error as a measure of model adequacy and different methods for image endmember extraction were also evaluated. Results indicate that both SMA and MESMA are suitable for mapping the main components of the marsh, although MESMA seems more appropriate since it can incorporate more than one endmember per class. rms. error was shown not to be a measure of SMA model adequacy, but it can be used to help to assess model adequacy within groups of related models.
dc.language.isoen
dc.publisherTAYLOR & FRANCIS LTD
dc.relation.ispartofINTERNATIONAL JOURNAL OF REMOTE SENSING
dc.subjectAVIRIS
dc.subjectCOVER
dc.subjectIMAGES
dc.subjectImaging Science & Photographic Technology
dc.subjectMARSHES
dc.subjectMODELS
dc.subjectMONICA MOUNTAINS
dc.subjectMULTISPECTRAL DATA
dc.subjectRemote Sensing
dc.subjectSPECTRAL MIXTURE ANALYSIS
dc.subjectUSA
dc.titleMapping marshland vegetation of San Francisco Bay, California, using hyperspectral data
dc.typejournal article
dc.identifier.doi10.1080/01431160500218770
dc.identifier.isiISI:000234504800003
dc.description.volume26
dc.description.issue23
dc.description.startpage5169
dc.description.endpage5191
dc.contributor.orcid0000-0002-0717-8026
dc.contributor.orcid0000-0001-8551-0461
dc.contributor.researcheridO-6864-2019
dc.contributor.researcheridA-7423-2008
dc.publisher.place4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
dcterms.isPartOf.abbreviationInt. J. Remote Sens.
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