File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Atmospheric correction of landsat ETM+ land surface imagery - Part II: Validation and applications

TitleAtmospheric correction of landsat ETM+ land surface imagery - Part II: Validation and applications
Authors
KeywordsAtmospheric correction
Broadband albedos
Change detection
Classification
Validation
Issue Date2002
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2002, v. 40, n. 12, p. 2736-2746 How to Cite?
AbstractThis is the second paper of the series on atmospheric correction of Enhanced Thematic Mapper-Plus (ETM+) land surface imagery. In the first paper, a new algorithm that corrects heterogeneous aerosol scattering and surface adjacency effects was presented. In this study, our objectives are to 1) evaluate the accuracy of this new atmospheric correction algorithm using ground radiometric measurements, 2) apply this algorithm to correct Moderate-Resolution Imaging Spectroradiometer (MODIS) and SeaWiFS imagery, and 3) demonstrate how much atmospheric correction of ETM+ imagery can improve land cover classification, change detection, and broadband albedo calculations. Validation results indicate that this new algorithm can retrieve surface reflectance from ETM+ imagery accurately. All experimental cases demonstrate that this algorithm can be used for correcting both MODIS and SeaWiFS imagery. Although more tests and validation exercises are needed, it has been proven promising to correct different multispectral imagery operationally. We have also demonstrated that atmospheric correction does matter.
Persistent Identifierhttp://hdl.handle.net/10722/321267
ISSN
2021 Impact Factor: 8.125
2020 SCImago Journal Rankings: 2.141
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorFang, Hongliang-
dc.contributor.authorMorisette, Jeffrey T.-
dc.contributor.authorChen, Mingzhen-
dc.contributor.authorShuey, Chad J.-
dc.contributor.authorWalthall, Charles L.-
dc.contributor.authorDaughtry, Craig S.T.-
dc.date.accessioned2022-11-03T02:17:46Z-
dc.date.available2022-11-03T02:17:46Z-
dc.date.issued2002-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2002, v. 40, n. 12, p. 2736-2746-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/321267-
dc.description.abstractThis is the second paper of the series on atmospheric correction of Enhanced Thematic Mapper-Plus (ETM+) land surface imagery. In the first paper, a new algorithm that corrects heterogeneous aerosol scattering and surface adjacency effects was presented. In this study, our objectives are to 1) evaluate the accuracy of this new atmospheric correction algorithm using ground radiometric measurements, 2) apply this algorithm to correct Moderate-Resolution Imaging Spectroradiometer (MODIS) and SeaWiFS imagery, and 3) demonstrate how much atmospheric correction of ETM+ imagery can improve land cover classification, change detection, and broadband albedo calculations. Validation results indicate that this new algorithm can retrieve surface reflectance from ETM+ imagery accurately. All experimental cases demonstrate that this algorithm can be used for correcting both MODIS and SeaWiFS imagery. Although more tests and validation exercises are needed, it has been proven promising to correct different multispectral imagery operationally. We have also demonstrated that atmospheric correction does matter.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectAtmospheric correction-
dc.subjectBroadband albedos-
dc.subjectChange detection-
dc.subjectClassification-
dc.subjectValidation-
dc.titleAtmospheric correction of landsat ETM+ land surface imagery - Part II: Validation and applications-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2002.807579-
dc.identifier.scopuseid_2-s2.0-0036994015-
dc.identifier.volume40-
dc.identifier.issue12-
dc.identifier.spage2736-
dc.identifier.epage2746-
dc.identifier.isiWOS:000180871300020-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats