The objective of the study was to introduce a normalization algorithm which highlights short-term, localized, non-periodic fluctuations in hyper-temporal satellite data by dividing each pixel by the mean value of its spatial neighbourhood set. The algorithm was designed to suppress signal patterns that are common in the central and surrounding pixels, utilizing spatial and temporal information at different scales.
|Date made available||29 Nov 2018|
|Date of data production||1 Mar 2016|
Pavlidou, E. (Creator), van der Meijde, M. (Supervisor), van der Werff, H. (Research team member), Hecker, C. (Research team member) (29 Nov 2018). A spatio-temporal normalization method for geophysical data. DANS easy. 10.17026/dans-x7r-kgnr