This paper presents the second-year outcomes of our Digital Government project “Digitalization of Coastal Management and Decision Making Supported by Multi-Dimensional Geospatial Information and Analysis”. One of the primary objectives of the second year is to develop and integrate multiple spaceborne, airborne, and in-situ remotely sensed measurements, spatio-temporal databases, coastal hydrol...

The radiometric normalization of multi-temporal satellite optical images of the same terrain is necessary for land cover change detection e.g. relative differences. In previous studies, ground reference data or pseudo invariant features (PIFs) were used in the radiometric rectification of multi-temporal images. Ground reference data are costly and difficult to acquire for most satellite remotel...

Based on surface energy balance and the assumption of fairly invariant evaporative fraction (EF) during daytime, this study proposes a new parameterization scheme of directly estimating daily EF. Daily EF is parameterized as a function of temporal variations in surface temperature, air temperature, and net radiation. The proposed EF parameterization scheme can well reproduce daily EF estimates ...

The extraction of ridge and valley connectivity networks is essential for studying spatio-temporal organizations. Extraction of such connectivity networks from multiscale DEMs has lately received notable attention. A simple method is proposed to extract these networks, from a sample DEM as well as a simulated fractal DEM, using non-linear morphological transformations in a methodical way. Furth...