Terrain Segmentation of Egypt from Multi-Temporal Night LST Imagery and Elevation Data
AbstractMonthly night averaged land surface temperature (LST) MODIS imagery was analyzed throughout a year-period (2006), in an attempt to segment the terrain of Egypt into regions with different LST seasonal variability, and represent them parametrically. Regions with distinct spatial and temporal LST patterns were outlined using several clustering techniques capturing aspects of spatial, temporal and temperature homogeneity or differentiation. Segmentation was supplemented, taking into consideration elevation, morphological features and landcover information. The northern coastal region along the Mediterranean Sea occupied by lowland plain areas corresponds to the coolest clusters indicating a latitude/elevation dependency of seasonal LST variability. On the other hand, for the inland regions, elevation and terrain dissection plays a key role in LST seasonal variability, while an east to west variability of clusters’ spatial distribution is evident. Finally, elevation biased clustering revealed annual LST differences among the regions with the same physiographic/terrain characteristics. Thermal terrain segmentation outlined the temporal variation of LST during 2006, as well as the spatial distribution of LST zones.
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Miliaresis, G.; Partsinevelos, P. Terrain Segmentation of Egypt from Multi-Temporal Night LST Imagery and Elevation Data. Remote Sens. 2010, 2, 2083-2096.
Miliaresis G, Partsinevelos P. Terrain Segmentation of Egypt from Multi-Temporal Night LST Imagery and Elevation Data. Remote Sensing. 2010; 2(9):2083-2096.Chicago/Turabian Style
Miliaresis, George; Partsinevelos, Panagiotis. 2010. "Terrain Segmentation of Egypt from Multi-Temporal Night LST Imagery and Elevation Data." Remote Sens. 2, no. 9: 2083-2096.