dc.contributor.author | Μηλιαρέσης, Γιώργος Χ. | el |
dc.contributor.author | Τσάτσαρης, Ανδρέας | el |
dc.date.accessioned | 2014-11-20T12:29:00Z | |
dc.date.available | 2014-11-20T12:29:00Z | |
dc.date.issued | 2014-11-20 | |
dc.identifier.uri | http://hdl.handle.net/11400/2702 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.source | http://link.springer.com/article/10.1007%2Fs10661-009-0913-x# | el |
dc.subject | Πολυ-χρονικά δεδομένα | |
dc.subject | Θερμοκρασία επιφάνειας γης | |
dc.subject | Μοντέλο ψηφιακής ανύψωσης | |
dc.subject | Εδαφική τμηματοποίηση | |
dc.subject | Αναπαράσταση και ταξινόμηση χωρικού αντικειμένου | |
dc.subject | Multi-temporal data | |
dc.subject | Land surface temperature | |
dc.subject | Digital elevation model | |
dc.subject | Terrain segmentation | |
dc.subject | Spatial object representation and classification | |
dc.title | Thermal terrain modeling of spatial objects, a tool for environmental and climatic change assessment | el |
heal.type | journalArticle | |
heal.generalDescription | Received: 14 September 2008 / Accepted: 6 April 2009 / Published online: 23 April 2009 | en |
heal.classification | Geography | |
heal.classification | Γεωγραφία | |
heal.classification | Physical geography | |
heal.classification | Φυσική γεωγραφία | |
heal.classificationURI | id.loc.gov/authorities/subjects/sh85053986.html | |
heal.classificationURI | **N/A**-Γεωγραφία | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh85101552.html | |
heal.classificationURI | **N/A**-Φυσική Γεωγραφία | |
heal.identifier.secondary | DOI: 10.1007/s10661-009-0913-x | |
heal.language | en | |
heal.access | campus | |
heal.recordProvider | Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Πολιτικών Μηχανικών | el |
heal.publicationDate | 2010-05 | |
heal.bibliographicCitation | Miliaresis, G.C. & Tsatsaris, A., 2010. Thermal terrain modeling of spatial objects, a tool for environmental and climatic change assessment. "Environmental Monitoring and Assessment 164 (1-4). pp. 561-572. Available from: http://link.springer.com/article/10.1007%2Fs10661-009-0913-x [Accessed 23/04/2009] | en |
heal.abstract | The aim of the current research effort is to include biophysical multi-temporal data and more specifically land surface temperature (LST) in the terrain modeling process that traditionally was based only on digital elevation data processing. The terrain partition framework (spatial objects) is defined by the borderlines of prefecture authorities of Greece. Each object is represented by a set of attributes derived from the digital elevation data, and objects are organized into clusters on the basis of their terrain dependent representation. Finally, the terrain is segmented to regions on the basis of the multi-temporal LST data, each region presenting a different thermal signature. The thermal regions are used in the spatial objects parametric representation and a new index is devised (LST climatic index) expressing the biophysical suitability of spatial objects at moderate resolution scale. | en |
heal.publisher | Springer Verlag | el |
heal.journalName | Environmental Monitoring and Assessment | en |
heal.journalType | peer-reviewed | |
heal.fullTextAvailability | true | |
heal.dateCreated | 2008-09-14 |
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