Spatial Statistical Data Fusion (SSDF)

TBMG-17660

11/01/2013

Abstract
Content

As remote sensing for scientific purposes has transitioned from an experimental technology to an operational one, the selection of instruments has become more coordinated, so that the scientific community can exploit complementary measurements. However, technological and scientific heterogeneity across devices means that the statistical characteristics of the data they collect are different. The challenge addressed here is how to combine heterogeneous remote sensing data sets in a way that yields optimal statistical estimates of the underlying geophysical field, and provides rigorous uncertainty measures for those estimates. Different remote sensing data sets may have different spatial resolutions, different measurement error biases and variances, and other disparate characteristics.

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Citation
"Spatial Statistical Data Fusion (SSDF)," Mobility Engineering, November 1, 2013.
Additional Details
Publisher
Published
Nov 1, 2013
Product Code
TBMG-17660
Content Type
Magazine Article
Language
English