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dc.contributor.authorXin, Qinchuanen_US
dc.date.accessioned2018-10-25T12:54:37Z
dc.date.issued2012
dc.date.submitted2012
dc.identifier.otherb38911887
dc.identifier.urihttps://hdl.handle.net/2144/31624
dc.descriptionThesis (Ph.D.)--Boston Universityen_US
dc.descriptionPLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.en_US
dc.description.abstractA new methodology for fusion of MODIS and Landsat data improves monitoring of land surface change and snow mapping. This fusion method is based on prediction of MODIS data using a time-series of Landsat data. An underlying hypothesis is that the predicted MODIS images will form a more stable basis for comparison with new MODIS images than previous MODIS images. Correlations between predicted and observed MODIS images are higher than for successive days of MODIS data, confirming our hypothesis. Differences in the spectral signatures between predicted and real MODIS images become the "signal" used detect land surface change. Tests of the fusion method to detect forest clearing show producer's and user's accuracies of 86% and 85%, respectively. Cleared patches of forest as small as 5-6 ha in size can be detected, a considerable improvement over current published results. Additionally, the fusion method can be used to map snow cover on a daily basis and is more accurate than current operational MODIS snow products. The encouraging results indicate that the fusion method holds promise for improving monitoring of land surface change in near real-time.en_US
dc.language.isoen_US
dc.publisherBoston Universityen_US
dc.titleFusion of MODIS and Landsat data to allow near real-time monitoring of land surface changeen_US
dc.typeThesis/Dissertationen_US
dc.description.embargo2031-01-01
etd.degree.nameDoctor of Philosophyen_US
etd.degree.leveldoctoralen_US
etd.degree.disciplineGeographyen_US
etd.degree.grantorBoston Universityen_US
dc.identifier.barcode11719032087712
dc.identifier.mmsid99196020580001161


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