terrain segmentation of egypt from multi-temporal night lst imagery and elevation data地形分割的埃及时段遥测晚上lst意象和高程数据.pdf

Remote Sensing 2010, 2, 2083-2096; doi:10.3390/rs2092083 OPEN ACCESS Remote Sensing ISSN 2072-4292 /journal/remotesensing Article Terrain Segmentation of Egypt from Multi-Temporal Night LST Imagery and Elevation Data George Miliaresis 1 and Panagiotis Partsinevelos 2,* 1 Department of Geology, University of Patras, Rion 26504, Greece 2 Department of Mineral Resources Engineering, Technical University of Crete, Chania 73100, Greece; E-Mail: ppartsi@mred.tuc.gr * Author to whom correspondence should be addressed; E-Mail: gmiliar@ or gmiliar@upatras.gr; Tel.: +30-2821-037-676; Fax: +30-2821-069-554. Received: 30 June 2010; in revised form: 23 August 2010 / Accepted: 24 August 2010 / Published: 2 September 2010 Abstract: Monthly 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 variabilit