Fusion Technique to Extract Detail Information from Moderate Resolution Data for Global Scale Image Map Production

dc.contributor.authorCanisius, Francis X. J.
dc.contributor.authorTurral, Hugh
dc.date.accessioned2009-10-28T14:14:34Z
dc.date.available2009-10-28T14:14:34Z
dc.date.issued2003en_US
dc.description.abstract"The Global Irrigated Area mapping project at IWMI addresses the need to develop improved regional or global image products that incorporate spatial and temporal heterogeneity of agriculture. Fusion of freely available high temporal resolution MODIS composite image and high spatial resolution GeoCover Landsat TM mosaic is an appropriate approach to monitor temporal and spatial variability in agriculture at global scale. Methodologies were developed using the techniques of IHS color transformation and Principal Component Analysis to produce global image fusion products. In these processes, the spectral characteristics of the original MODIS multi-spectral image are maintained. In effect one can clearly identify the textural and structural features of land cover as well as the vegetation cover at the period of MODIS data acquisition. Moreover it improves classification accuracy and spatial disaggregation."en_US
dc.identifier.citationconfdatesNovember 10-14en_US
dc.identifier.citationconference30th International Symposium on Remote Sensing of Environmenten_US
dc.identifier.citationconflocHonolulu, Hawaiien_US
dc.identifier.urihttps://hdl.handle.net/10535/5100
dc.languageEnglishen_US
dc.subjectGISen_US
dc.subjectirrigationen_US
dc.subjectmappingen_US
dc.subjectagricultureen_US
dc.subject.sectorAgricultureen_US
dc.subject.sectorInformation & Knowledgeen_US
dc.subject.sectorWater Resource & Irrigationen_US
dc.titleFusion Technique to Extract Detail Information from Moderate Resolution Data for Global Scale Image Map Productionen_US
dc.typeConference Paperen_US
dc.type.methodologyTheoryen_US
dc.type.publishedunpublisheden_US

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