Publications

Miliaresis, George Ch. (2014). Daily Temperature Oscillation Enhancement of Multitemporal LST Imagery. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 80(5), 423-428.

Abstract
This paper addresses a major limitation of remote sensing in biophysical modeling-capturing the diurnal temperature range (DTR) with global datasets at moderate resolution scale. DTR relates to the variation in temperature that occurs between daytime and nighttime daily temperatures. A new context for MODIS land surface temperature modeling is proposed on the basis of the 01:30, 10:30, 13:30, and 22:30 local time Aqua and Terra acquisitions. First, cubic spline interpolation produces an image time series with a uniform six hours sampling per day. Second, the inverse Fourier transform considers the harmonics with period less than or equal to a day, to reconstruct a new image time series, and enhance DTR. Finally, cluster analysis of the reconstructed data set identifies eight clusters that are spatially arranged into a Southern and a Northern group. The temporal variation for each cluster reveals a season dependent DTR that is a key issue in supporting land cover studies in Greece.

DOI:

ISSN:
0099-1112