{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:39:54Z","timestamp":1760243994825,"version":"build-2065373602"},"reference-count":16,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2010,9,2]],"date-time":"2010-09-02T00:00:00Z","timestamp":1283385600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 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\u2019 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.<\/jats:p>","DOI":"10.3390\/rs2092083","type":"journal-article","created":{"date-parts":[[2010,9,19]],"date-time":"2010-09-19T09:41:46Z","timestamp":1284889306000},"page":"2083-2096","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Terrain Segmentation of Egypt from Multi-Temporal Night LST Imagery and Elevation Data"],"prefix":"10.3390","volume":"2","author":[{"given":"George","family":"Miliaresis","sequence":"first","affiliation":[{"name":"Department of Geology, University of Patras, Rion 26504, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Panagiotis","family":"Partsinevelos","sequence":"additional","affiliation":[{"name":"Department of Mineral Resources Engineering, Technical University of Crete, Chania 73100, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2010,9,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1959","DOI":"10.1080\/01431160412331291297","article-title":"CLC2000, A New Approach to Global Land Cover Mapping From Earth Observation Data","volume":"26","author":"Bartholome","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_2","first-page":"385","article-title":"Regional Thermal and Terrain Modeling of the Afar Depression from Multi-Temporal Night LST Data","volume":"35","author":"Miliaresis","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1023\/A:1005996900217","article-title":"Regional Land Cover Characterization Using Landsat Thematic Mapper Data and Ancillary Data Sources","volume":"51","author":"Vogelmann","year":"1998","journal-title":"Environ. Monit. Assess."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1080\/0143116031000116417","article-title":"Quality Assessment and Validation of the MODIS Land Surface Temperature","volume":"25","author":"Wan","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_5","unstructured":"Partsinevelos, P., and Miliaresis, G. 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Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1080\/14498596.2007.9635097","article-title":"An Upland Object Based Modelling of the Vertical Accuracy of the SRTM-1 Elevation Dataset","volume":"52","author":"Miliaresis","year":"2007","journal-title":"J. Spatial Sci."},{"key":"ref_9","first-page":"13","article-title":"Quantification of terrain processes","volume":"Volume XIV","author":"Zhou","year":"2008","journal-title":"Lecture Notes in Geoinformation & Chartography"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Miliaresis, G. (2009). The Terrain Signatures of Administrative Units: A Tool for Environmental Assessment. Environ. Monit. Assess.","DOI":"10.1007\/s10661-008-0237-2"},{"key":"ref_11","unstructured":"Schlouter, T. (2006). Geological Atlas of Africa, Springer."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1029\/EO081i048p00583","article-title":"Shuttle Radar Topography Mission Produces a Wealth of Data","volume":"81","author":"Farr","year":"2000","journal-title":"AGU EOS"},{"key":"ref_13","unstructured":"(2008). Void-Filled Seamless SRTM Data V2, International Centre for Tropical Agriculture. Available online: http:\/\/srtm.csi.cgiar.org."},{"key":"ref_14","unstructured":"WIST Data Interface (2008). NASA\/GSFC, Greenbelt, MD, USA, Available online: https:\/\/wist.echo.nasa.gov\/api."},{"key":"ref_15","unstructured":"Mather, P. (2004). Computer Processing of Remotely-Sensed Images, John Wiley & Sons. [3rd ed.]."},{"key":"ref_16","unstructured":"GeoCover Landsat TM Ortho-Rectified Mosaics, NASA: 2002, Available online: https:\/\/zulu.ssc.nasa.gov\/mrsid\/."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/2\/9\/2083\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:03:18Z","timestamp":1760220198000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/2\/9\/2083"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,9,2]]},"references-count":16,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2010,9]]}},"alternative-id":["rs2092083"],"URL":"https:\/\/doi.org\/10.3390\/rs2092083","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2010,9,2]]}}}