dc.contributor.author | Μηλιαρέσης, Γιώργος Χ. | el |
dc.contributor.author | Τσάτσαρης, Ανδρέας | el |
dc.date.accessioned | 2015-01-19T10:36:18Z | |
dc.date.available | 2015-01-19T10:36:18Z | |
dc.date.issued | 2015-01-19 | |
dc.identifier.uri | http://hdl.handle.net/11400/4238 | |
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 | ΤΕΙ Αθήνας | el |
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.subject | Βιοφυσική | |
dc.subject | Γεωπληροφορικη | |
dc.title | Thermal terrain modeling of spatial objects, a tool for environmental and climatic change assessment | en |
heal.type | journalArticle | |
heal.classification | Topography | |
heal.classification | Geodesy | |
heal.classification | Τοπογραφία | |
heal.classification | Γεωδαισία | |
heal.classificationURI | http://skos.um.es/unescothes/C04078 | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh85053969 | |
heal.classificationURI | **N/A**-Τοπογραφία | |
heal.classificationURI | **N/A**-Γεωδαισία | |
heal.identifier.secondary | DOI 10.1007/s10661-009-0913-x | |
heal.language | en | |
heal.access | campus | |
heal.recordProvider | Τ.Ε.Ι. Αθήνας, Σχολή Τεχνολογικών Εφαρμογών, Τμήμα Μηχανικών Πληροφορικής και Μηχανικών Τοπογραφίας & Γεωπληροφορικής | el |
heal.publicationDate | 2009-03-23 | |
heal.bibliographicCitation | Miliaresis, G.,CH. and Tsatsaris, A. (2008). Thermal terrain modeling of spatial objects, a tool for environmental and climatic change assessment.Environmental Monitoring and Assessment. vol.164 2010 pp. 561-572. Springer Science + Business Media B.V.Available from: http://link.springer.com/article/10.1007%2Fs10661-009-0913-x[Accessed 23/04/2009)] | el |
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 process-ing. The terrain partition framework (spatial ob-jects) 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) express-ing the biophysical suitability of spatial objects at moderate resolution scale. | en |
heal.publisher | Springer Science + Business Media B.V | el |
heal.journalName | Environmental Monitoring and Assessment | el |
heal.journalType | non peer-reviewed | |
heal.fullTextAvailability | true | |
heal.dateCreated | 2008-09-14 |
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