JPL Technical Report Server

Space-time data fusion for remote sensing applications

Show simple item record

dc.contributor.author Braverman, Amy
dc.contributor.author Nguyen, H.
dc.contributor.author Cressie, N.
dc.date.accessioned 2012-03-08T17:13:59Z
dc.date.available 2012-03-08T17:13:59Z
dc.date.issued 2011-04-10
dc.identifier.citation 34th International Symposium on Remote Sensing of Environment, Sydney, Australia, 10-15 April 2011 en_US
dc.identifier.clearanceno CL#11-0650
dc.identifier.uri http://hdl.handle.net/2014/41967
dc.description.abstract NASA has been collecting massive amounts of remote sensing data about Earth's systems for more than a decade. Missions are selected to be complementary in quantities measured, retrieval techniques, and sampling characteristics, so these datasets are highly synergistic. To fully exploit this, a rigorous methodology for combining data with heterogeneous sampling characteristics is required. For scientific purposes, the methodology must also provide quantitative measures of uncertainty that propagate input-data uncertainty appropriately. We view this as a statistical inference problem. The true but notdirectly- observed quantities form a vector-valued field continuous in space and time. Our goal is to infer those true values or some function of them, and provide to uncertainty quantification for those inferences. We use a spatiotemporal statistical model that relates the unobserved quantities of interest at point-level to the spatially aggregated, observed data. We describe and illustrate our method using CO2 data from two NASA data sets. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2011 en_US
dc.subject Orbiting Carbon Observatory en_US
dc.subject viewing geometry en_US
dc.subject data fusion en_US
dc.subject spatio-temporal statistics en_US
dc.subject uncertainty qualification en_US
dc.subject massive datasets en_US
dc.subject carbon dioxide en_US
dc.title Space-time data fusion for remote sensing applications en_US
dc.type Preprint en_US
dc.subject.NASATaxonomy Earth Resources and Remote Sensing en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Browse

My Account