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Terrain segmentation of Egypt from multi-temporal night LST imagery and elevation data

Partsinevelos Panagiotis, George Miliaresis

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/D3BBF473-D59D-41A3-8B60-B7799ADFAA25-
Γλώσσαen-
ΤίτλοςTerrain segmentation of Egypt from multi-temporal night LST imagery and elevation dataen
ΔημιουργόςPartsinevelos Panagiotisen
ΔημιουργόςΠαρτσινεβελος Παναγιωτηςel
ΔημιουργόςGeorge Miliaresisen
ΠερίληψηMonthly 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. en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-13-
Ημερομηνία Δημοσίευσης2010-
Βιβλιογραφική ΑναφοράMiliaresisG., P. Partsinevelos, (2010), Terrain Segmentation of Egypt from Multi - temporal Night LST Imagery and Elevation Data, in Remote Sensing Journal, 2, 2083-2096 p.,doi:10.3390/rs2092083en

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