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

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dc.contributor.author Canisius, Francis X. J.
dc.contributor.author Turral, Hugh
dc.date.accessioned 2009-10-28T14:14:34Z
dc.date.available 2009-10-28T14:14:34Z
dc.date.issued 2003 en_US
dc.identifier.uri https://hdl.handle.net/10535/5100
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.language English en_US
dc.subject GIS en_US
dc.subject irrigation en_US
dc.subject mapping en_US
dc.subject agriculture en_US
dc.title Fusion Technique to Extract Detail Information from Moderate Resolution Data for Global Scale Image Map Production en_US
dc.type Conference Paper en_US
dc.type.published unpublished en_US
dc.type.methodology Theory en_US
dc.subject.sector Agriculture en_US
dc.subject.sector Information & Knowledge en_US
dc.subject.sector Water Resource & Irrigation en_US
dc.identifier.citationconference 30th International Symposium on Remote Sensing of Environment en_US
dc.identifier.citationconfdates November 10-14 en_US
dc.identifier.citationconfloc Honolulu, Hawaii en_US


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